Journal articles: 'Vehicle Navigation'

1

Moussa, Mohamed, Shady Zahran, Mostafa Mostafa, Adel Moussa, Naser El-Sheimy, and Mohamed Elhabiby. "Optical and Mass Flow Sensors for Aiding Vehicle Navigation in GNSS Denied Environment." Sensors 20, no. 22 (November 17, 2020): 6567. http://dx.doi.org/10.3390/s20226567.

Full text

Abstract:

Nowadays, autonomous vehicles have achieved a lot of research interest regarding the navigation, the surrounding environmental perception, and control. Global Navigation Satellite System/Inertial Navigation System (GNSS/INS) is one of the significant components of any vehicle navigation system. However, GNSS has limitations in some operating scenarios such as urban regions and indoor environments where the GNSS signal suffers from multipath or outage. On the other hand, INS standalone navigation solution degrades over time due to the INS errors. Therefore, a modern vehicle navigation system depends on integration between different sensors to aid INS for mitigating its drift during GNSS signal outage. However, there are some challenges for the aiding sensors related to their high price, high computational costs, and environmental and weather effects. This paper proposes an integrated aiding navigation system for vehicles in an indoor environment (e.g., underground parking). This proposed system is based on optical flow and multiple mass flow sensors integrations to aid the low-cost INS by providing the navigation extended Kalman filter (EKF) with forward velocity and change of heading updates to enhance the vehicle navigation. The optical flow is computed for frames taken using a consumer portable device (CPD) camera mounted in the upward-looking direction to avoid moving objects in front of the camera and to exploit the typical features of the underground parking or tunnels such as ducts and pipes. On the other hand, the multiple mass flow sensors measurements are modeled to provide forward velocity information. Moreover, a mass flow differential odometry is proposed where the vehicle change of heading is estimated from the multiple mass flow sensors measurements. This integrated aiding system can be used for unmanned aerial vehicles (UAV) and land vehicle navigations. However, the experimental results are implemented for land vehicles through the integration of CPD with mass flow sensors to aid the navigation system.

APA, Harvard, Vancouver, ISO, and other styles

2

Ramesh, R., V. Bala Naga Jyothi, N. Vedachalam, G. A. Ramadass, and M. A. Atmanand. "Development and Performance Validation of a Navigation System for an Underwater Vehicle." Journal of Navigation 69, no. 5 (January 26, 2016): 1097–113. http://dx.doi.org/10.1017/s0373463315001058.

Full text

Abstract:

Underwater position data is a key requirement for the navigation and control of unmanned underwater vehicles. The proposed navigation scheme can be used in any vessel or boat for any shallow water vehicle. This paper presents the position estimation algorithm developed for shallow water Remotely Operated Vehicles (ROVs) using attitude data and Doppler Velocity Log data with the initial position from the Global Positioning System (GPS). The navigational sensors are identified using the in-house developed simulation tool in MATLAB, based on the requirement of a position accuracy of less than 5%. The navigation system is built using the identified sensors, Kalman filter and navigation algorithm, developed in LabVIEW software. The developed system is tested and validated for position estimation, with an emulator consisting of a GPS-aided fibre optic gyro-based inertial navigation system as a reference, and it is found that the developed navigation system has a position error of less than 5%.

APA, Harvard, Vancouver, ISO, and other styles

3

Li, Ningbo, Yanbin Gao, Ye Wang, Zhejun Liu, Lianwu Guan, and Xin Liu. "A Low-Cost Underground Garage Navigation Switching Algorithm Based on Kalman Filtering." Sensors 19, no. 8 (April 18, 2019): 1861. http://dx.doi.org/10.3390/s19081861.

Full text

Abstract:

Modern parking lots have gradually developed into underground garages to improve the efficient use of space. However, the complex design of parking lots also increases the demands on vehicle navigation. The traditional method of navigation switching only uses satellite signals. After the Position Dilution Of Precision (PDOP) of satellite signals is over the limit, vehicle navigation will enter indoor mode. It is not suitable for vehicles in underground garages to switch modes with a fast-response system. Therefore, this paper chooses satellite navigation, inertial navigation, and the car system to combine navigation. With the condition that the vehicle can freely travel through indoor and outdoor environments, high-precision outdoor environment navigation is used to provide the initial state of underground navigation. The position of the vehicle underground is calculated by the Dead Reckoning (DR) navigation system. This paper takes advantage of the Extended Kalman Filter (EKF) algorithm to provide two freely switchable navigation modes for vehicles in ground and underground garages. The continuity, robustness, fast response, and low cost of the indoor and outdoor switching navigation methods are verified in real-time systems.

APA, Harvard, Vancouver, ISO, and other styles

4

Karadeniz Kartal, Seda, M. Kemal Leblebicioglu, and Emre Ege. "Experimental test of the acoustic-based navigation and system identification of an unmanned underwater survey vehicle (SAGA)." Transactions of the Institute of Measurement and Control 40, no. 8 (May 2018): 2476–87. http://dx.doi.org/10.1177/0142331218756727.

Full text

Abstract:

In this study, a nonlinear mathematical model for an unmanned underwater survey vehicle (SAGA) is obtained. The structure of the mathematical model of the vehicle comes from a Newton–Euler formulation. The three-dimensional motion is realized by a suitable combination of right, left and vertical thrusters. The navigation problem is solved by a combination of the inertial navigation system and acoustic-based measurements, which are integrated to obtain more accurate vehicle navigation data. In addition, a magnetic compass and a depth sensor are used to support vehicle attitude and depth information. A pool experimental set-up is designed for the navigation system. The performance of the resultant navigation system can be analysed by creating suitable system state, measurement and noise models. The vehicle navigational data are improved with a Kalman filter. The mathematical model of the vehicle includes some unknown parameters, such as added mass and damping coefficients. It is not possible to determine all the parameter values as their effect on the state of the system is usually negligible. However, most of the ‘important’ parameters are obtained from a system identification study of the vehicle by means of the estimated navigational data for coupled motion. The entire study is performed in a Matlab/Simulink environment.

APA, Harvard, Vancouver, ISO, and other styles

5

Karadeniz Kartal, Seda, M. Kemal Leblebicioglu, and Emre Ege. "Experimental test of vision-based navigation and system identification of an unmanned underwater survey vehicle (SAGA) for the yaw motion." Transactions of the Institute of Measurement and Control 41, no. 8 (January 31, 2019): 2160–70. http://dx.doi.org/10.1177/0142331219826524.

Full text

Abstract:

In this study, a nonlinear mathematical model for an unmanned underwater survey vehicle (SAGA) is obtained. The structure of the mathematical model of the vehicle comes from a Newton–Euler formulation. The yaw motion is realized by a suitable combination of right and left thrusters. The navigation problem is solved by using the inertial navigation system and vision-based measurements together. These are integrated to more accurately obtain navigation data for the vehicle. In addition, the magnetic compass is used to support the attitude information of the vehicle. A pool experimental set-up is designed to test the navigation system. Performance of the resultant navigation system can be analysed by creating suitable system state, measurement and noise models. The navigational data for the vehicle has been improved using a Kalman filter. The mathematical model of the vehicle includes some unknown parameters such as added mass and damping coefficients. It is not possible to determine all the parameter values as their effects on the state of the system are usually negligible. On the other hand, most of the ‘important’ parameters are obtained based on a system identification study of the vehicle using this estimated navigational data for coupled motion. This study is performed in a MATLAB/Simulink environment.

APA, Harvard, Vancouver, ISO, and other styles

6

Juhari, Khairul Anuar, Mohd Rizal Salleh, Mohd Nazrin Muhamad, and Teruaki Ito. "208 NAVIGATION SYSTEM FOR UNMANNED GROUND VEHICLE." Proceedings of Manufacturing Systems Division Conference 2013 (2013): 53–54. http://dx.doi.org/10.1299/jsmemsd.2013.53.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Islam, Mhafuzul, Mashrur Chowdhury, Hongda Li, and Hongxin Hu. "Vision-Based Navigation of Autonomous Vehicles in Roadway Environments with Unexpected Hazards." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 12 (July 31, 2019): 494–507. http://dx.doi.org/10.1177/0361198119855606.

Full text

Abstract:

Vision-based navigation of autonomous vehicles primarily depends on the deep neural network (DNN) based systems in which the controller obtains input from sensors/detectors, such as cameras, and produces a vehicle control output, such as a steering wheel angle to navigate the vehicle safely in a roadway traffic environment. Typically, these DNN-based systems in the autonomous vehicle are trained through supervised learning; however, recent studies show that a trained DNN-based system can be compromised by perturbation or adverse inputs. Similarly, this perturbation can be introduced into the DNN-based systems of autonomous vehicles by unexpected roadway hazards, such as debris or roadblocks. In this study, we first introduce a hazardous roadway environment that can compromise the DNN-based navigational system of an autonomous vehicle, and produce an incorrect steering wheel angle, which could cause crashes resulting in fatality or injury. Then, we develop a DNN-based autonomous vehicle driving system using object detection and semantic segmentation to mitigate the adverse effect of this type of hazard, which helps the autonomous vehicle to navigate safely around such hazards. We find that our developed DNN-based autonomous vehicle driving system, including hazardous object detection and semantic segmentation, improves the navigational ability of an autonomous vehicle to avoid a potential hazard by 21% compared with the traditional DNN-based autonomous vehicle driving system.

APA, Harvard, Vancouver, ISO, and other styles

8

Elsheikh, Mohamed, Walid Abdelfatah, Aboelmagd Nourledin, Umar Iqbal, and Michael Korenberg. "Low-Cost Real-Time PPP/INS Integration for Automated Land Vehicles." Sensors 19, no. 22 (November 9, 2019): 4896. http://dx.doi.org/10.3390/s19224896.

Full text

Abstract:

The last decade has witnessed a growing demand for precise positioning in many applications including car navigation. Navigating automated land vehicles requires at least sub-meter level positioning accuracy with the lowest possible cost. The Global Navigation Satellite System (GNSS) Single-Frequency Precise Point Positioning (SF-PPP) is capable of achieving sub-meter level accuracy in benign GNSS conditions using low-cost GNSS receivers. However, SF-PPP alone cannot be employed for land vehicles due to frequent signal degradation and blockage. In this paper, real-time SF-PPP is integrated with a low-cost consumer-grade Inertial Navigation System (INS) to provide a continuous and precise navigation solution. The PPP accuracy and the applied estimation algorithm contributed to reducing the effects of INS errors. The system was evaluated through two road tests which included open-sky, suburban, momentary outages, and complete GNSS outage conditions. The results showed that the developed PPP/INS system maintained horizontal sub-meter Root Mean Square (RMS) accuracy in open-sky and suburban environments. Moreover, the PPP/INS system could provide a continuous real-time positioning solution within the lane the vehicle is moving in. This lane-level accuracy was preserved even when passing under bridges and overpasses on the road. The developed PPP/INS system is expected to benefit low-cost precise land vehicle navigation applications including level 2 of vehicle automation which comprises services such as lane departure warning and lane-keeping assistance.

APA, Harvard, Vancouver, ISO, and other styles

9

Miller, Paul A., Jay A. Farrell, Yuanyuan Zhao, and Vladimir Djapic. "Autonomous Underwater Vehicle Navigation." IEEE Journal of Oceanic Engineering 35, no. 3 (July 2010): 663–78. http://dx.doi.org/10.1109/joe.2010.2052691.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Campbell, N. W., M. R. Pout, M. D. J. Priestly, E. L. Dagless, and B. T. Thomas. "Autonomous road vehicle navigation." Engineering Applications of Artificial Intelligence 7, no. 2 (April 1994): 177–90. http://dx.doi.org/10.1016/0952-1976(94)90022-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Topliss, Bethan Hannah, Sanna M. Pampel, Gary Burnett, Lee Skrypchuk, and Chrisminder Hare. "Follow the Leader." International Journal of Mobile Human Computer Interaction 11, no. 2 (April 2019): 19–38. http://dx.doi.org/10.4018/ijmhci.2019040102.

Full text

Abstract:

Two studies investigated the concept of following a lead vehicle as a navigational aid. The first video-based study (n=34) considered how drivers might use a real-world lead vehicle as a navigational aid, whist the second simulator-based study (n=22) explored how an Augmented Reality (AR) virtual car, presented on a head-up display (HUD), may aid navigation around a complex junction. Study 1 indicated that a lead vehicle is most valued as a navigation aid just before/during a required maneuver. During the second study the dynamic virtual car (which behaved like a real vehicle) resulted in greater confidence and lower workload than a static virtual car that “waits” at the correct junction exit, but resulted in more gaze concentration. It is concluded that a virtual car may be a valuable element of a navigation system, in combination with other forms of information, to completely fulfil all a driver's navigational task requirements.

APA, Harvard, Vancouver, ISO, and other styles

12

Śmieszek, Mirosław, and Magdalena Dobrzańska. "Application Of Kalman Filter In Navigation Process Of Automated Guided Vehicles." Metrology and Measurement Systems 22, no. 3 (September 1, 2015): 443–54. http://dx.doi.org/10.1515/mms-2015-0037.

Full text

Abstract:

AbstractIn the paper an example of application of the Kalman filtering in the navigation process of automatically guided vehicles was presented. The basis for determining the position of automatically guided vehicles is odometry – the navigation calculation. This method of determining the position of a vehicle is affected by many errors. In order to eliminate these errors, in modern vehicles additional systems to increase accuracy in determining the position of a vehicle are used. In the latest navigation systems during route and position adjustments the probabilistic methods are used. The most frequently applied are Kalman filters.

APA, Harvard, Vancouver, ISO, and other styles

13

EL-KABBANY, AHMED, and A. RAMIREZ-SERRANO. "TERRAIN ROUGHNESS ASSESSMENT FOR HIGH SPEED UGV NAVIGATION IN UNKNOWN HETEROGENEOUS TERRAINS." International Journal of Information Acquisition 07, no. 02 (June 2010): 165–76. http://dx.doi.org/10.1142/s0219878910002142.

Full text

Abstract:

This paper addresses the problem of determining the maximum allowable speed (V) of a vehicle traversing unknown off-road terrains. The calculated maximum speed achieves the fastest navigation without exceeding an allowable range of transmitted force (Fall) to the vehicle's frame. The proposed system enables the vehicle to transit between different terrains safely. The system's input are: (i) a 3D range image of the terrain and (ii) the vehicle's dimensions and characteristics (e.g., suspension parameters). First the terrain roughness is assessed; then the corresponding maximum allowable speed is calculated. In this paper a novel Roughness Index (RI) is used to represent the terrain roughness. This index is calculated based on the standard deviation of the terrain points' elevations (3D range image). A closed form expression of the maximum allowable vehicle speed is developed (as function of the vehicle's properties, Fall, RI, and probability of not exceeding Fall). The proposed system can be used as a driver assistant system to enhance the vehicle performance, increase its life time, and reduce the maintenance cost. In addition, it is a key module in Unmanned Ground Vehicles (UGVs) navigation systems; as it provides the navigation system with necessary information for path and speed planning.

APA, Harvard, Vancouver, ISO, and other styles

14

Xi, Jian Zhong, and Cheng Chun Han. "Parking Navigation System Based on the Double Signal Double Display Intersection Vehicle Terminal and Automobile Internal Information." Applied Mechanics and Materials 536-537 (April 2014): 803–8. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.803.

Full text

Abstract:

In view of more and more complicate driving and parking problems in urban traffic, the parking guidance system are proposed based on a double signal double display intersection vehicle terminal. The system is based on the information interaction between intelligent terminal, vehicle terminal and vehicle of internet, and to introduce the space maze module and automobile internal information, by simulation maze module planning the different target route and its navigation through the intelligent terminal screen, at the same time instant maze module choice and determine the real-time path navigation through the on-board navigator screen, and to improve the accuracy of target navigation. The system will be the target route and real-time route through their channel respectively on the intelligent terminal and vehicle navigation cross presentation, realize the whole process of target parking navigation, or real-time navigation guidance section step by step according to the real-time parking lots, and in order to improve the parking navigation accuracy to provide an effective means of technology.

APA, Harvard, Vancouver, ISO, and other styles

15

Foster, M. R. "Vehicle Navigation Using the Adaptive Compass." Journal of Navigation 39, no. 2 (May 1986): 279–85. http://dx.doi.org/10.1017/s0373463300000138.

Full text

Abstract:

Magnetic sensors have been used in navigation for many centuries. During this time the effects of magnetic interference from ferromagnetic materials used in vehicle construction have become an increasing problem, and correction techniques have evolved progressively to allow the continued use of magnetic heading detection. The advent of the microprocessor has made it possible to take a fresh look at the problems of compass operation in vehicles and to devise more accurate processes for the correction of the indicated heading. The compass system described in this paper uses a mathematical representation of the magnetic environment based on fundamental physical principles to supply accurate heading information even in the most magnetically hostile land vehicles.

APA, Harvard, Vancouver, ISO, and other styles

16

Tall, M. H., P. F. Rynne, J. M. Lorio, and K. D. von Ellenrieder. "Visual-Based Navigation of an Autonomous Surface Vehicle." Marine Technology Society Journal 44, no. 2 (March 1, 2010): 37–45. http://dx.doi.org/10.4031/mtsj.44.2.6.

Full text

Abstract:

AbstractThis paper presents the work of a team of undergraduate and graduate students at Florida Atlantic University (FAU) who compete in the annual Autonomous Surface Vehicle (ASV) competition held jointly by the Association for Unmanned Vehicle Systems International (AUVSI) and the U.S. Office of Naval Research (ONR). The conceptual design of the vehicle, its physical realization, and the results of both preliminary testing and the final competition are presented. The initial configuration of a stereoscopic vision system and navigation algorithm is explored through testing in a controlled environment. With this approach, the vehicle is shown to be capable of navigating through various courses of colored buoys; approximately 25% of the attempts result in successful navigation of all buoy pairs while 75% of the attempts result in successful navigation of half the buoy pairs or more.

APA, Harvard, Vancouver, ISO, and other styles

17

Schekutiev, A. F. "On-Ground Vehicle Navigation Using Satellite Navigation Equipment." IEEE Aerospace and Electronic Systems Magazine 21, no. 5 (May 2006): 34–39. http://dx.doi.org/10.1109/maes.2006.1635173.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

., Murugadass, P. Sheela Gowr, M. Latha, and U. V. Anbazhagu. "IOT connected predictive vehicle systems." International Journal of Engineering & Technology 7, no. 2.21 (April 20, 2018): 391. http://dx.doi.org/10.14419/ijet.v7i2.21.12449.

Full text

Abstract:

Predictive maintenance is to identify vehicle maintenance issues before they occur. By leveraging data from navigation locator and motion of vehicle, status and parts of the vehicle, requirement of service, warranty repairs with current vehicle sensor data would be difficult for a human to discover. Predictive data analytics can find meaningful correlations via Connected Vehicle which is a technological advancement in Automobile industry. Using Internet of Things IOT, various information like health information of a driving person and navigation of vehicle can be easily monitored. Connected vehicle deals with cars and other vehicles where we the data will be shared with the backed applications like micro services.

APA, Harvard, Vancouver, ISO, and other styles

19

Gao, Jiaxin, Kui Li, and Jiyang Chen. "Research on the Integrated Navigation Technology of SINS with Couple Odometers for Land Vehicles." Sensors 20, no. 2 (January 19, 2020): 546. http://dx.doi.org/10.3390/s20020546.

Full text

Abstract:

Autonomous and accurate acquisition of the position and azimuth of the vehicle is critical to the combat effectiveness of land-fighting vehicles. The integrated navigation system, consisting of a strap-down inertial navigation system (SINS) and odometer (OD), is commonly applied in vehicles. In the SINS/OD integrated system, the odometer is installed around the vehicle’s wheel, while SINS is usually installed on the base of the vehicle. The distance along SINS and OD would cause a velocity difference when the vehicle maneuvers, which may lead to a significant influence on the integration positioning accuracy. Furthermore, SINS navigation errors, especially azimuth error, would diverge over time due to gyro drifts and accelerometer biases. The azimuth error would cause the divergence of dead-reckoning positioning errors with the distance that the vehicle drives. To solve these problems, an integrated positioning and orientation method based on the configuration of SINS and couple odometers was proposed in this paper. The proposed method designed a high precision integrated navigation algorithm, which compensated the lever arm effect to eliminate the velocity difference between SINS and odometers. At the same time, by using the measured information of couple odometers, azimuth reference was calculated and used as an external measurement to suppress SINS azimuth error’s divergence over time, thus could further improve the navigation precision of the integrated system, especially the orientation accuracy. The performance of the proposed method was verified by simulations. The results demonstrated that SINS/2ODs integrated system could achieve a positioning accuracy of 0.01% D (total mileage) and orientation accuracy of ±30″ by using SINS with 0.01°/h Fiber-Optic Gyroscope (FOGs) and 50 µg accelerometers.

APA, Harvard, Vancouver, ISO, and other styles

20

Chen, Mingxing, Zhi Xiong, Jianye Liu, Rong Wang, and Jun Xiong. "Cooperative navigation of unmanned aerial vehicle swarm based on cooperative dilution of precision." International Journal of Advanced Robotic Systems 17, no. 3 (May 1, 2020): 172988142093271. http://dx.doi.org/10.1177/1729881420932717.

Full text

Abstract:

Aiming at the formation problem in the cooperative navigation of unmanned aerial vehicle swarm, a cooperative position error analysis method based on cooperative dilution of precision is studied in this article. During cooperative flight, the unmanned aerial vehicle swarm can use the received position and ranging information of the adjacent unmanned aerial vehicles to calculate the position, and fuse with its own sensor position information. The final positioning accuracy depends not only on the capability of the ranging sensor but also on the position accuracy and formation of the adjacent unmanned aerial vehicles. In this article, these influence factors are combined to put forward a cooperative dilution of precision calculation method suitable for unmanned aerial vehicle swarm cooperative navigation. On this basis, a cooperative integrated navigation method based on ranging information is designed. Finally, the performance of cooperative navigation of unmanned aerial vehicles in different formations is simulated and analyzed. The simulation result shows that the cooperative dilution of precision method proposed in this article can effectively analyze the influence of formation on the positioning accuracy of unmanned aerial vehicle swarm, and the final combined positioning result is consistent with the cooperative dilution of precision analysis result.

APA, Harvard, Vancouver, ISO, and other styles

21

Sun, Yu Shan, Wen Jiang Li, Zai Bai Qin, Hong Li Chen, and Ji Qing Li. "Application of Modified Self-Adaptive Kalman Filter in Integrated Navigation System of Autonomous Underwater Vehicle." Applied Mechanics and Materials 79 (July 2011): 298–303. http://dx.doi.org/10.4028/www.scientific.net/amm.79.298.

Full text

Abstract:

Owing to the complex operating environment of underwater vehicles, many uncertainties of sensors data, big noises of sensors , low precision and high rate of wild points of underwater acoustic sensors, data processing of motion sensors data for underwater vehicle navigation system becomes extremely important. The integrated navigation system of autonomous underwater vehicle based on dead-reckoning is introduced. An modified adaptive Kalman filter is adopted for underwater vehicle sensors information data processing. Experimental results show that the modified self-adaptive Kalman filter(SAKF) is effective, and can meet the underwater robots perform a variety of tasks in the navigation and positioning accuracy..

APA, Harvard, Vancouver, ISO, and other styles

22

Bin Issa, Razin, Modhumonty Das, Md Saferi Rahman, Monika Barua, Md Khalilur Rhaman, Kazi Shah Nawaz Ripon, and Md Golam Rabiul Alam. "Double Deep Q-Learning and Faster R-CNN-Based Autonomous Vehicle Navigation and Obstacle Avoidance in Dynamic Environment." Sensors 21, no. 4 (February 20, 2021): 1468. http://dx.doi.org/10.3390/s21041468.

Full text

Abstract:

Autonomous vehicle navigation in an unknown dynamic environment is crucial for both supervised- and Reinforcement Learning-based autonomous maneuvering. The cooperative fusion of these two learning approaches has the potential to be an effective mechanism to tackle indefinite environmental dynamics. Most of the state-of-the-art autonomous vehicle navigation systems are trained on a specific mapped model with familiar environmental dynamics. However, this research focuses on the cooperative fusion of supervised and Reinforcement Learning technologies for autonomous navigation of land vehicles in a dynamic and unknown environment. The Faster R-CNN, a supervised learning approach, identifies the ambient environmental obstacles for untroubled maneuver of the autonomous vehicle. Whereas, the training policies of Double Deep Q-Learning, a Reinforcement Learning approach, enable the autonomous agent to learn effective navigation decisions form the dynamic environment. The proposed model is primarily tested in a gaming environment similar to the real-world. It exhibits the overall efficiency and effectiveness in the maneuver of autonomous land vehicles.

APA, Harvard, Vancouver, ISO, and other styles

23

Kovalenko, A. M., and A. A. Shejnikov. "Model of the inertial and optical navigation system of the unmanned aerial vehicle." «System analysis and applied information science», no. 2 (August 18, 2020): 17–25. http://dx.doi.org/10.21122/2309-4923-2020-2-17-25.

Full text

Abstract:

In article approaches to creation of the complex inertial and optical navigation system of the short-range tactical unmanned aerial vehicle are considered. Algorithms constant and periodic (in intermediate points of a route) are offered correction of the platformless onboard inertial navigation system. At integration of information on parameters of the movement of the unmanned aerial vehicle (received from the considered systems) the invariant loosely coupled scheme of data processing on the basis of the expanded filter of Kallman was used that allowed to lower significantly a systematic component of an error of the platformless inertial navigation system. Advantages of the complex inertial and optical navigation system when ensuring flight of the unmanned aerial vehicle in an area of coverage of means of radio-electronic fight of the opponent are shown. The results of modeling confirming a possibility of ensuring precision characteristics of the inertial and optical navigation system in the absence of signals of satellite radio navigational systems are presented.

APA, Harvard, Vancouver, ISO, and other styles

24

Xu, H. "Navigation of an Autonomous Vehicle." IFAC Proceedings Volumes 26, no. 1 (April 1993): 95–100. http://dx.doi.org/10.1016/s1474-6670(17)49282-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Van Erp, Jan B. F., and Hendrik A. H. C. Van Veen. "Vibrotactile in-vehicle navigation system." Transportation Research Part F: Traffic Psychology and Behaviour 7, no. 4-5 (July 2004): 247–56. http://dx.doi.org/10.1016/j.trf.2004.09.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Abbott, E., and D. Powell. "Land-vehicle navigation using GPS." Proceedings of the IEEE 87, no. 1 (1999): 145–62. http://dx.doi.org/10.1109/5.736347.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Huang, Xiaoci, Chen Shuai, and Xuncheng Wu. "Reactive navigation of autonomous vehicle." Journal of Physics: Conference Series 1176 (March 2019): 052079. http://dx.doi.org/10.1088/1742-6596/1176/5/052079.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Mohr, B. B., and D. L. Fitzpatrick. "Micro air vehicle navigation system." IEEE Aerospace and Electronic Systems Magazine 23, no. 4 (April 2008): 19–24. http://dx.doi.org/10.1109/maes.2008.4493438.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Shamsuddin, Putri Nur Farhanah Mohd, Roshahliza M. Ramli, and Muhamad Arifpin Mansor. "Navigation and motion control techniques for surface unmanned vehicle and autonomous ground vehicle: a review." Bulletin of Electrical Engineering and Informatics 10, no. 4 (August 1, 2021): 1893–904. http://dx.doi.org/10.11591/eei.v10i4.3086.

Full text

Abstract:

An excellent navigation, guidance, and control (NGC) system had a high impact on trajectory tracking and the following scenarios. Both scenarios will include the heading, tangent, and velocity parameters in the computation. However, the control system design problem is not a new issue in the unmanned surface vehicle (USV) and autonomous ground vehivle (AGV) due to this constraint faced by many researchers since early these autonomy developments. Hence, this paper listed and emphasizing the techniques, including techniques implementation, strength, and the algorithm's constraints, a fusion of several techniques implemented for vehicle's stability, a turning ahead, and heading estimation. This paper concerns the similar algorithm used in the USV and AGV. Most of the selected techniques are basic algorithms and have been frequently implemented to control both vehicles' systems. Previous research shows pure pursuit guidance is the most popular technique in AGV to control the degree-of-freedom (DOF) velocity and the dynamic rate (sway, surge, and yaw). Simultaneously, the line of sight (LOS) controller is very compatible with controlling the movement of the USV. In conclusion, the technique's simulation test needs further research that will expose in the actual situation.

APA, Harvard, Vancouver, ISO, and other styles

30

Barker, Laughlin D. L., Michael V. Jakuba, Andrew D. Bowen, Christopher R. German, Ted Maksym, Larry Mayer, Antje Boetius, Pierre Dutrieux, and Louis L. Whitcomb. "Scientific Challenges and Present Capabilities in Underwater Robotic Vehicle Design and Navigation for Oceanographic Exploration Under-Ice." Remote Sensing 12, no. 16 (August 11, 2020): 2588. http://dx.doi.org/10.3390/rs12162588.

Full text

Abstract:

This paper reviews the scientific motivation and challenges, development, and use of underwater robotic vehicles designed for use in ice-covered waters, with special attention paid to the navigation systems employed for under-ice deployments. Scientific needs for routine access under fixed and moving ice by underwater robotic vehicles are reviewed in the contexts of geology and geophysics, biology, sea ice and climate, ice shelves, and seafloor mapping. The challenges of under-ice vehicle design and navigation are summarized. The paper reviews all known under-ice robotic vehicles and their associated navigation systems, categorizing them by vehicle type (tethered, untethered, hybrid, and glider) and by the type of ice they were designed for (fixed glacial or sea ice and moving sea ice).

APA, Harvard, Vancouver, ISO, and other styles

31

Savkin, Andrey V., and Chao Wang. "A framework for safe assisted navigation of semi-autonomous vehicles among moving and steady obstacles." Robotica 35, no. 5 (January 22, 2016): 981–1005. http://dx.doi.org/10.1017/s0263574715000922.

Full text

Abstract:

SUMMARYWe present a novel framework for collision free assisted navigation of a semi-autonomous vehicle in complex unknown environments with moving and steady obstacles. In the proposed system, a semi-autonomous vehicle is guided by a human operator and an automatic reactive navigator. The autonomous reactive navigation block takes control from the human operator in situations where there is the danger of collision with obstacle. A mathematically rigorous analysis of the proposed approach is provided. The performance of the proposed assisted navigation system is demonstrated via experiments with a real semi-autonomous hospital bed and extensive computer simulations.

APA, Harvard, Vancouver, ISO, and other styles

32

Sakai, Hideki. "Navigation apparatus for navigating a vehicle based on symbolic sounds." Journal of the Acoustical Society of America 114, no. 1 (2003): 29. http://dx.doi.org/10.1121/1.1601079.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Li, Guangyu, Qiang Sun, Lila Boukhatem, Jinsong Wu, and Jian Yang. "Intelligent Vehicle-to-Vehicle Charging Navigation for Mobile Electric Vehicles via VANET-Based Communication." IEEE Access 7 (2019): 170888–906. http://dx.doi.org/10.1109/access.2019.2955927.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Kim, Kangsoo, and Tamaki Ura. "Applied Model-Based Analysis and Synthesis for the Dynamics, Guidance, and Control of an Autonomous Undersea Vehicle." Mathematical Problems in Engineering 2010 (2010): 1–23. http://dx.doi.org/10.1155/2010/149385.

Full text

Abstract:

Model-based analysis and synthesis applied to the dynamics, guidance, and control of an autonomous undersea vehicle are presented. As the dynamic model for describing vehicle motion mathematically, the equations of motion are derived. The stability derivatives in the equations of motion are determined by a simulation-based technique using computational fluid dynamics analysis. The dynamic model is applied to the design of the low-level control systems, offering model-based synthetic approach in dynamics and control applications. As an intelligent navigational strategy for undersea vehicles, we present the optimal guidance in environmental disturbances. The optimal guidance aims at the minimum-time transit of a vehicle in an environmental flow disturbance. In this paper, a newly developed algorithm for obtaining the numerical solution of the optimal guidance law is presented. The algorithm is a globally working procedure deriving the optimal guidance in any deterministic environmental disturbance. As a fail-safe tactic in achieving the optimal navigation in environments of moderate uncertainty, we propose the quasi-optimal guidance. Performances of the optimal and the quasi-optimal guidances are demonstrated by the simulated navigations in a few environmental disturbances.

APA, Harvard, Vancouver, ISO, and other styles

35

Valera, Ángel, Francisco Valero, Marina Vallés, Antonio Besa, Vicente Mata, and Carlos Llopis-Albert. "Navigation of Autonomous Light Vehicles Using an Optimal Trajectory Planning Algorithm." Sustainability 13, no. 3 (January 25, 2021): 1233. http://dx.doi.org/10.3390/su13031233.

Full text

Abstract:

Autonomous navigation is a complex problem that involves different tasks, such as location of the mobile robot in the scenario, robotic mapping, generating the trajectory, navigating from the initial point to the target point, detecting objects it may encounter in its path, etc. This paper presents a new optimal trajectory planning algorithm that allows the assessment of the energy efficiency of autonomous light vehicles. To the best of our knowledge, this is the first time in the literature that this is carried out by minimizing the travel time while considering the vehicle’s dynamic behavior, its limitations, and with the capability of avoiding obstacles and constraining energy consumption. This enables the automotive industry to design environmentally sustainable strategies towards compliance with governmental greenhouse gas (GHG) emission regulations and for climate change mitigation and adaptation policies. The reduction in energy consumption also allows companies to stay competitive in the marketplace. The vehicle navigation control is efficiently implemented through a middleware of component-based software development (CBSD) based on a Robot Operating System (ROS) package. It boosts the reuse of software components and the development of systems from other existing systems. Therefore, it allows the avoidance of complex control software architectures to integrate the different hardware and software components. The global maps are created by scanning the environment with FARO 3D and 2D SICK laser sensors. The proposed algorithm presents a low computational cost and has been implemented as a new module of distributed architecture. It has been integrated into the ROS package to achieve real time autonomous navigation of the vehicle. The methodology has been successfully validated in real indoor experiments using a light vehicle under different scenarios entailing several obstacle locations and dynamic parameters.

APA, Harvard, Vancouver, ISO, and other styles

36

Salumäe, Taavi, and Maarja Kruusmaa. "Flow-relative control of an underwater robot." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 469, no. 2153 (May 8, 2013): 20120671. http://dx.doi.org/10.1098/rspa.2012.0671.

Full text

Abstract:

This paper describes flow-relative and flow-aided navigation of a biomimetic underwater vehicle using an artificial lateral line for flow sensing. Most of the aquatic animals have flow sensing organs, but there are no man-made analogues to those sensors currently in use on underwater vehicles. Here, we show that artificial lateral line sensing can be used for detecting hydrodynamic regimens and for controlling the robot’s motion with respect to the flow. We implement station holding of an underwater vehicle in a steady stream and in the wake of a bluff object. We show that lateral line sensing can provide a speed estimate of an underwater robot thus functioning as a short-term odometry for robot navigation. We also demonstrate navigation with respect to the flow in periodic turbulence and show that controlling the position of the robot in the reduced flow zone in the wake of an object reduces a vehicle’s energy consumption.

APA, Harvard, Vancouver, ISO, and other styles

37

Sell, Raivo, and Priit Leomar. "Universal Navigation Algorithm Planning Platform for Unmanned Systems." Solid State Phenomena 164 (June 2010): 405–10. http://dx.doi.org/10.4028/www.scientific.net/ssp.164.405.

Full text

Abstract:

The paper deals with route planning and message exchange platform development for unmanned vehicle systems like Unmanned Ground Vehicle (UGV) and Unmanned Aerial Vehicle (UAV). Existing solutions for both types of vehicles are discussed and analyzed. Based on existing solution an unified concept is introduced. In this paper we present the study where the universal navigation algorithm planning platform is developed aiming to provide common platform for different unmanned mobile robotic systems. The platform is independent from the application and the target software. The navigation and action planning activity is brought to the abstract layer and specific interfaces are used to produce the target oriented code, describing two different test platforms are presented and co-operation scenarios.

APA, Harvard, Vancouver, ISO, and other styles

38

Masiero, A., C. Toth, J. Gabela, and G. Retscher. "ASSESSMENT OF CAR COLLABORATIVE POSITIONING WITH UWB AND VISION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2021 (June 28, 2021): 221–27. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2021-221-2021.

Full text

Abstract:

Abstract. During the last decades the role of positioning and navigation systems is drastically changed in the everyday life of common people, influencing people behavior even multiple times each day. One of the most common applications of this kind of systems is that of terrestrial vehicle navigation: the use of GPS in the automotive navigation sector started thirty years ago, and, nowadays, it commonly assists drivers in reaching most of their non-standard destinations. Despite the popularity of global navigation satellite systems (GNSS), their usability is quite limited in certain working conditions, such as in urban canyons, in tunnels and indoors. While the latter case is typically not particularly interesting for the automotive sector, the first two scenarios represent important cases of interest for automotive navigation. In addition to the market request for increasing the usability of navigation systems on consumer devices, the recent increasing eagerness for autonomous driving is also attracting a lot of researchers’ attention on the development of alternative positioning systems, able to compensate for the unavailability or unreliability of GNSS. In accordance with the motivations mentioned above, this paper focuses on the development of a positioning system based on collaborative positioning between vehicles with UltraWide-Band devices and vision. To be more specific, this work focuses on assessing the performance of the developed system in successfully accomplishing three tasks, associated to different levels of gathered information: 1) assessing distance between vehicles, 2) determining the vehicle relative positions, 3) estimating the absolute car positions. The obtained results show that a) UWB can be reliably used (error of few decimeters error) to assess distances when vehicles are relatively close to each other (e.g. less than 40 m), b) the combination of UWB and vision allows to obtain good results in the computation of relative positions between vehicles, c) UWB-based collaborative positioning can be used for determining the absolute vehicle positions if a sufficient number of UWB range measurements can be ensured (sub-meter error for vehicles connected with a static UWB infrastructure, whereas error at meter level for those exploiting only vehicle-to-vehicle UWB communications).

APA, Harvard, Vancouver, ISO, and other styles

39

Wang, Hao, and Dian Ren Chen. "Simple GPS Automatic Navigation Design." Advanced Materials Research 1044-1045 (October 2014): 1545–48. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1545.

Full text

Abstract:

GPS vehicle navigation technology is the GPS technology emerges along with the rapid development of embedded technology, the auto industry, the market ofmore variety of products GPS navigation based on quality, technology gap, doesa variety of GPS products. This paper analyzes the development status ofdomestic and foreign vehicle navigation system at present, the GPS vehicle navigation system was discussed, to construct the hardware system based on embedded development board as the core, build of the vehicle navigation systembased on WinCE, using EVC and eSuperMap tool software, design of intelligent navigation system the electronic navigation maproute search.

APA, Harvard, Vancouver, ISO, and other styles

40

Dou, Fengqian, Yu Meng, Li Liu, and Qing Gu. "A Novel Relative Navigation Control Strategy Based on Relation Space Method for Autonomous Underground Articulated Vehicles." Journal of Control Science and Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/2352805.

Full text

Abstract:

This paper proposes a novel relative navigation control strategy based on the relation space method (RSM) for articulated underground trackless vehicles. In the RSM, a self-organizing, competitive neural network is used to identify the space around the vehicle, and the spatial geometric relationships of the identified space are used to determine the vehicle’s optimal driving direction. For driving control, the trajectories of the articulated vehicles are analyzed, and data-based steering and speed control modules are developed to reduce modeling complexity. Simulation shows that the proposed RSM can choose the correct directions for articulated vehicles in different tunnels. The effectiveness and feasibility of the resulting novel relative navigation control strategy are validated through experiments.

APA, Harvard, Vancouver, ISO, and other styles

41

Xu, Yifan, Qian Zhang, Jingjuan Zhang, Xueyun Wang, and Zelong Yu. "A Vehicle-Model-Aided Navigation Reconstruction Method for a Multicopter during a GPS Outage." Electronics 10, no. 5 (February 24, 2021): 528. http://dx.doi.org/10.3390/electronics10050528.

Full text

Abstract:

The integrated navigation of inertial navigation systems (INS) and the Global Positioning System (GPS) is essential for small unmanned aerial vehicles (UAVs) such as multicopters, providing steady and accurate position, velocity, and attitude information. Nevertheless, decreasing navigation accuracy is a serious threat to flight safety due to the long-term drift error of INS in the absence of GPS measurements. To bridge the GPS outage for multicopters, this paper proposes a novel navigation reconstruction method for small multicopters, which combines the vehicle dynamic model and micro-electro-mechanical system (MEMS) sensors. Firstly, an induced drag model is introduced into the dynamic model of the vehicle, and an efficient online parameter identification method is designed to estimate the model parameters quickly. Secondly, the body velocity can be calculated from the vehicle model and accelerometer measurement. In addition, the nongravitational acceleration estimated from body velocity and radar height are utilized to yield a more accurate attitude estimate. Fusing the information of the attitude, body velocity, magnetic heading, and radar height, a navigation system based on an error-state Kalman filter is reconstructed. Then, an adaptive measurement covariance algorithm based on a fuzzy logic system is designed to reduce the weight due to the disturbed acceleration. Finally, the hardware-in-loop experiment is carried out to demonstrate the effectiveness of the proposed method. Simulation results show that the proposed navigation reconstruction algorithm aided by the vehicle model can significantly improve navigation accuracy during a GPS outage.

APA, Harvard, Vancouver, ISO, and other styles

42

Won, Daehee, Jongsun Ahn, Sangkyung Sung, Moonbeom Heo, Sung-Hyuck Im, and Young Jae Lee. "Performance Improvement of Inertial Navigation System by Using Magnetometer with Vehicle Dynamic Constraints." Journal of Sensors 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/435062.

Full text

Abstract:

A navigation algorithm is proposed to increase the inertial navigation performance of a ground vehicle using magnetic measurements and dynamic constraints. The navigation solutions are estimated based on inertial measurements such as acceleration and angular velocity measurements. To improve the inertial navigation performance, a three-axis magnetometer is used to provide the heading angle, and nonholonomic constraints (NHCs) are introduced to increase the correlation between the velocity and the attitude equation. The NHCs provide a velocity feedback to the attitude, which makes the navigation solution more robust. Additionally, an acceleration-based roll and pitch estimation is applied to decrease the drift when the acceleration is within certain boundaries. The magnetometer and NHCs are combined with an extended Kalman filter. An experimental test was conducted to verify the proposed method, and a comprehensive analysis of the performance in terms of the position, velocity, and attitude showed that the navigation performance could be improved by using the magnetometer and NHCs. Moreover, the proposed method could improve the estimation performance for the position, velocity, and attitude without any additional hardware except an inertial sensor and magnetometer. Therefore, this method would be effective for ground vehicles, indoor navigation, mobile robots, vehicle navigation in urban canyons, or navigation in any global navigation satellite system-denied environment.

APA, Harvard, Vancouver, ISO, and other styles

43

Coaplen, Joshua P., Patrick Kessler, Oliver M. O'Reilly, Dan M. Stevens, and J. Karl Hedrick. "On Navigation Systems for Motorcycles: The Influence and Estimation of Roll Angle." Journal of Navigation 58, no. 3 (August 19, 2005): 375–88. http://dx.doi.org/10.1017/s037346330500336x.

Full text

Abstract:

Vehicle navigation systems use various sensors and the global positioning system (GPS) to locate a vehicle. This location is then matched to a map database to provide navigation information. Between GPS updates, the vehicle's heading angle and forward speed are used to “dead reckon” its position. Heading angle is often measured by integrating the output of a rate gyroscope. For this measurement to be equal to the vehicle's heading angle, the vehicle should not experience any rotation about its roll or pitch axes. For an automobile, the roll and pitch angles are small and may be neglected for the purposes of navigation. This article demonstrates that this same assumption is not true for a motorcycle. Through simulation, it is shown that for a motorcycle, obtaining a meaningful heading angle from a single angular rate measurement requires accounting for the motorcycle's roll angle. Methods to estimate roll angle and heading angle from available navigation measurements are presented, and two possible sensor configurations are compared. A motorcycle navigation scheme based on these roll angle estimation methods is shown to produce exceptional results in a simulation environment.

APA, Harvard, Vancouver, ISO, and other styles

44

Yang, Wanhao, Hong Wang, Zhijie Wang, Xiaolin Fu, Pengchi Ma, Zhengchen Deng, and Zihao Yang. "Optimization Strategy of Electric Vehicles Charging Path Based on “Traffic-Price-Distribution” Mode." Energies 13, no. 12 (June 20, 2020): 3208. http://dx.doi.org/10.3390/en13123208.

Full text

Abstract:

According to the current optimization problem of electric vehicle charging path planning, a charging path optimization strategy for electric vehicles is proposed, which is under the “traffic-price-distribution” mode. Moreover, this strategy builds an electric vehicle charging and navigation system on the basis of the road traffic network model, real-time electricity price model and distribution network model. Based on the Dijkstra shortest path algorithm and Monte Carlo time-space prediction method, it gets the optimal charging path navigation with the goal of minimizing the charging cost of electric vehicles. The simulation results in MATLAB and MATPOWER (MATLAB R2018a, MATPOWER3.1b2, PSERC, Cannell University) show that the electric vehicle charging path optimization strategy can solve the local traffic congestion problem better and improve the safety and stability of the distribution network because of the fully considering the convenience of electric vehicle charging.

APA, Harvard, Vancouver, ISO, and other styles

45

Kim, Jonghyuk, Jose Guivant, Martin L. Sollie, Torleiv H. Bryne, and Tor Arne Johansen. "Compressed pseudo-SLAM: pseudorange-integrated compressed simultaneous localisation and mapping for unmanned aerial vehicle navigation." Journal of Navigation 74, no. 5 (March 26, 2021): 1091–103. http://dx.doi.org/10.1017/s037346332100031x.

Full text

Abstract:

AbstractThis paper addresses the fusion of the pseudorange/pseudorange rate observations from the global navigation satellite system and the inertial–visual simultaneous localisation and mapping (SLAM) to achieve reliable navigation of unmanned aerial vehicles. This work extends the previous work on a simulation-based study [Kim et al. (2017). Compressed fusion of GNSS and inertial navigation with simultaneous localisation and mapping. IEEE Aerospace and Electronic Systems Magazine, 32(8), 22–36] to a real-flight dataset collected from a fixed-wing unmanned aerial vehicle platform. The dataset consists of measurements from visual landmarks, an inertial measurement unit, and pseudorange and pseudorange rates. We propose a novel all-source navigation filter, termed a compressed pseudo-SLAM, which can seamlessly integrate all available information in a computationally efficient way. In this framework, a local map is dynamically defined around the vehicle, updating the vehicle and local landmark states within the region. A global map includes the rest of the landmarks and is updated at a much lower rate by accumulating (or compressing) the local-to-global correlation information within the filter. It will show that the horizontal navigation error is effectively constrained with one satellite vehicle and one landmark observation. The computational cost will be analysed, demonstrating the efficiency of the method.

APA, Harvard, Vancouver, ISO, and other styles

46

Morita, Kazumoto, Jin'ichi Mashiko, and Takeo Okada. "Legibility of Navigation Information Displayed by In-Vehicle Navigation Devices." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 81, no. 8 (1997): 679–85. http://dx.doi.org/10.2150/jieij1980.81.8_679.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Roberts, Barry, and Bir Bhanu. "Inertial navigation sensor integrated motion analysis for autonomous vehicle navigation." Journal of Robotic Systems 9, no. 6 (September 1992): 817–42. http://dx.doi.org/10.1002/rob.4620090608.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Williams, Stefan B., Paul Newman, Julio Rosenblatt, Gamini Dissanayake, and Hugh Durrant-Whyte. "Autonomous underwater navigation and control." Robotica 19, no. 5 (August 29, 2001): 481–96. http://dx.doi.org/10.1017/s0263574701003423.

Full text

Abstract:

This paper describes the autonomous navigation and control of an undersea vehicle using a vehicle control architecture based on the Distributed Architeclure for Mobile Navigation and a terrain-aided navigation technique based on simultaneous localisation and map building. Development of the low-speed platform models for vehicle control and the theoretical and practical details of mapping and position estimation using sonar are provided. Details of an implementation of these techniques on a small submersible vehicle “Oberon” are presented.

APA, Harvard, Vancouver, ISO, and other styles

49

Antrobus, Vicki, David Large, Gary Burnett, and Chrisminder Hare. "Enhancing Environmental Engagement with Natural Language Interfaces for In-Vehicle Navigation Systems." Journal of Navigation 72, no. 3 (February 15, 2019): 513–27. http://dx.doi.org/10.1017/s037346331800108x.

Full text

Abstract:

Four on-road studies were conducted in the Clifton area of Nottingham, UK, aiming to explore the relationships between driver workload and environmental engagement associated with ‘active’ and ‘passive’ navigation systems. In a between-subjects design, a total of 61 experienced drivers completed two experimental drives comprising the same three routes (with overlapping sections), staged one week apart. Drivers were provided with the navigational support of a commercially-available navigation device (‘satnav’), an informed passenger (a stranger with expert route knowledge), a collaborative passenger (an individual with whom they had a close, personal relationship) or a novel interface employing a conversational natural language ‘NAV-NLI’ (Navigation Natural Language Interface). The NAV-NLI was created by curating linguistic intercourse extracted from the earlier conditions and delivering this using a ‘Wizard-of-Oz’ technique. This term describes a research experiment in which subjects interact with a computer system that they believe to be autonomous, but which is actually being operated or partially operated by an unseen human being. The different navigational methods were notable for their varying interactivity and the preponderance of environmental landmark information within route directions. Participants experienced the same guidance on each of the two drives to explore changes in reported and observed behaviour. Results show that participants who were more active in the navigation task (collaborative passenger or NAV-NLI) demonstrated enhanced environmental engagement (landmark recognition, route-learning and survey knowledge) allowing them to reconstruct the route more accurately post-drive, compared to drivers using more passive forms of navigational support (SatNav or informed passenger). Workload measures (the Tactile Detection Task (TDT) and the National Aeronautical and Space Administration Task Load Index (NASA-TLX)) indicated no differences between conditions, although SatNav users and collaborative passenger drivers reported lower workload during their second drive. The research demonstrates clear benefits and potential for a navigation system employing two-way conversational language to deliver instructions. This could help support a long-term perspective in the development of spatial knowledge, enabling drivers to become less reliant on the technology and begin to re-establish associations between viewing an environmental feature and the related navigational manoeuvre.

APA, Harvard, Vancouver, ISO, and other styles

50

Löwenau, J. P., P. J. Th Venhovens, and J. H. Bernasch. "Advanced Vehicle Navigation applied in the BMW Real Time Light Simulation." Journal of Navigation 53, no. 1 (January 2000): 30–41. http://dx.doi.org/10.1017/s0373463399008681.

Full text

Abstract:

Advanced vehicle navigation based on the US Global Positioning Systems (GPS) will play a major role in future vehicle control systems. Contemporary vehicle navigation systems generally consist of vehicle positioning using satellites and location and orientation of the vehicle with respect to the roadway geometry using a digitised map on a CD-ROM. The standard GPS (with Selective Availability) enables positioning with an accuracy of at least 100 m and is sufficiently accurate for most route guidance tasks. More accurate, precision navigation can be obtained by Differential GPS techniques. A new light concept called Adaptive Light Control (ALC) has been developed with the aim to improve night-time traffic safety. ALC improves the headlamp illumination by means of continuous adaptation of the headlamps according to the current driving situation and current environment. In order to ensure rapid prototyping and early testing, the step from offline to online (real-time) simulation of light distributions has been successfully completed in the driving simulator. The solutions are directly ported to real vehicles to allow further testing with natural road conditions.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Vehicle Navigation'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles