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Journal articles on the topic 'Autonomous vehicle guidance'

Author: Grafiati

Published: 25 July 2024

Last updated: 31 July 2025

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1

Roundtree, Karina A., Steven Hattrup, Janani Swaminathan, et al. "Inclusive Design Guidance: External Autonomous Vehicle Interfaces." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 1054–58. http://dx.doi.org/10.1177/1071181320641253.

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Autonomous vehicles are expected on roads in the near future and need to interact safely with external road users, such as manual motor drivers, cyclists, and pedestrians. The particular needs of the external road users, such as children, adults, older adults, and individuals with visual, auditory, and/or cognitive impairments, will vary greatly and must be considered in order to design effective inclusive interfaces for all users. Current interface designs lack effective communication between an autonomous vehicle and external road users with regard to conveying and understanding the mobility

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2

Naeem, W., R. Sutton, S. M. Ahmad, and R. S. Burns. "A Review of Guidance Laws Applicable to Unmanned Underwater Vehicles." Journal of Navigation 56, no. 1 (2003): 15–29. http://dx.doi.org/10.1017/s0373463302002138.

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The main problem in bringing autonomy to any vehicle lies in the design of a suitable guidance law. For truly autonomous operation, the vehicle needs to have a reliable Navigation, Guidance and Control (NGC) system of which the guidance system is the key element that generates suitable trajectories to be followed. In this review paper, various guidance laws found in the literature and their relevance to autonomous underwater vehicles (AUVs) are discussed. Since existing guidance laws for underwater vehicles have emulated from tactical airborne missile systems, a number of approaches for the mi

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D’Angelo, Vincenzo, Paolo Folino, Marco Lupia, et al. "A ROS-Based GNC Architecture for Autonomous Surface Vehicle Based on a New Multimission Management Paradigm." Drones 6, no. 12 (2022): 382. http://dx.doi.org/10.3390/drones6120382.

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This paper presents the design and implementation of BAICal (Intelligent Autonomous Buoy by the University of Calabria), an autonomous surface vehicle (ASV) developed at the Autonomous Systems Lab (LASA) of the Department of Computer Science, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria. The basic project was born as a research program in marine robotics with multiple applications, either in the sea or in lake/river environments, for data monitoring, search and rescue operations and diver support tasks. Mechanical and hardware designs are discussed by consider

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Wong, Joseph, Goldie Nejat, Robert Fenton, and Beno Benhabib. "A neural-network approach to high-precision docking of autonomous vehicles/platforms." Robotica 25, no. 4 (2007): 479–92. http://dx.doi.org/10.1017/s0263574707003359.

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SUMMARYIn this paper, a Neural-Network- (NN) based guidance methodology is proposed for the high-precision docking of autonomous vehicles/platforms. The novelty of the overall online motion-planning methodology is its applicability to cases that do not allow for the direct proximity measurement of the vehicle's pose (position and orientation). In such instances, a guidance technique that utilizes Line-of-Sight- (LOS) based task-space sensory feedback is needed to minimize the detrimental impact of accumulated systematic motion errors. Herein, the proposed NN-based guidance methodology is imple

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Zhou, Yunya, Yang He, Yu Yan, et al. "Autonomous charging docking control method for unmanned vehicles based on vision and infrared." Journal of Physics: Conference Series 2584, no. 1 (2023): 012065. http://dx.doi.org/10.1088/1742-6596/2584/1/012065.

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Abstract Unmanned vehicle charging is part of the autonomous workflow of unmanned vehicles. Most existing unmanned vehicles mostly rely on manual battery change or manual charging, which cannot realize autonomous charging. In order to achieve simpler and safer autonomous charging for unmanned vehicles, this paper proposes a new intelligent unmanned vehicle autonomous charging docking method based on infrared guidance and vision assistance. Firstly, the autonomous charging device and intelligent charging stand for unmanned vehicles are designed, and for the unmanned vehicle, charging is not eas

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S.A., Ávila-Martínez, Martínez Romo J.C., Luna Rosas F.J., Rodríguez-Díaz R. M.A., Mendoza-González, and Rodríguez-Martínez L.C. "Fusing Optimal Odometry Calibration and Partial Visual Odometry via A Particle Filter for Autonomous Vehicles Navigation." International Journal of Engineering Research & Science 7, no. 6 (2021): 08–13. https://doi.org/10.5281/zenodo.5045049.

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<strong>Abstract</strong><strong>—</strong> Autonomous vehicles are increasingly becoming ubiquitous in the 21st century; they find application in agriculture, industry, airplanes, cars, service robotics, and others; in order to display autonomous guidance, a vehicle needs to estimate its position and orientation relative to an arbitrary coordinate system; to do so, several sources of information can be used, including images, global positioning systems, inertial measurements or odometry, each according to the application; methods, such as Kalman Filter can be used to combine the several

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7

Foley, James P., and Michael J. Hudak. "Autonomous Route Guidance System Field Test." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 18 (1996): 887–90. http://dx.doi.org/10.1177/154193129604001804.

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Eight vehicles equipped with an autonomous Route Guidance System (RGS) were deployed in two geographical areas for a field test. The RGS provided the driver with turn-by-turn instructions to a selected destination using graphics presented on a monochromatic screen and verbal instructions through a dedicated speaker. Each of 45 participants drove a vehicle for approximately one month and reported their experiences in a post-drive debriefing. The debriefing consisted of both a questionnaire and a structured interview. The emphasis of the field test was to evaluate the driver interface. The resul

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8

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.

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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

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9

Hartley, Ralph, Behrooz Kamgar-Parsi, and Cody Narber. "Using Roads for Autonomous Air Vehicle Guidance." IEEE Transactions on Intelligent Transportation Systems 19, no. 12 (2018): 3840–49. http://dx.doi.org/10.1109/tits.2018.2799485.

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10

Baker, Patrick, and Behrooz Kamgar-Parsi. "Using shorelines for autonomous air vehicle guidance." Computer Vision and Image Understanding 114, no. 6 (2010): 723–29. http://dx.doi.org/10.1016/j.cviu.2010.01.009.

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11

Zhang, Zhuoyu, Wangjie Ding, Rundong Wu, Mingwei Lin, Dejun Li, and Ri Lin. "Autonomous Underwater Vehicle Cruise Positioning and Docking Guidance Scheme." Journal of Marine Science and Engineering 12, no. 6 (2024): 1023. http://dx.doi.org/10.3390/jmse12061023.

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The Autonomous Underwater Vehicle (AUV) is capable of autonomously conducting underwater cruising tasks. When combined with docking operations, the AUV can replenish its electric power after long-distance travel, enabling it to achieve long-range autonomous monitoring. This paper proposes a positioning method for the cruising and docking stages of AUVs. Firstly, a vision guidance algorithm based on monocular vision and threshold segmentation is studied to address the issue of regional noise that commonly occurs during underwater docking. A solution for regional noise based on threshold segment

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12

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 (2021): 1893–904. http://dx.doi.org/10.11591/eei.v10i4.3086.

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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 s

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13

Feezor, M. D., F. Yates Sorrell, P. R. Blankinship, and J. G. Bellingham. "Autonomous underwater vehicle homing/docking via electromagnetic guidance." IEEE Journal of Oceanic Engineering 26, no. 4 (2001): 515–21. http://dx.doi.org/10.1109/48.972086.

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14

Maravall, D., M. Mazo, V. Palencia, M. M. Pérez, and C. Torres. "GUIDANCE OF AN AUTONOMOUS VEHICLE BY VISUAL FEEDBACK." Cybernetics and Systems 21, no. 2-3 (1990): 257–66. http://dx.doi.org/10.1080/01969729008902239.

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15

Andersen, Gert L., and Anders C. Christensen. "Guidance of Autonomous Vehicle with 4 Wheel Trailer." IFAC Proceedings Volumes 26, no. 1 (1993): 241–46. http://dx.doi.org/10.1016/s1474-6670(17)49306-2.

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16

Sacyuk, Aleksandr, and Dmitriy Shvalov. "Autonomous UAV guidance using computer vision: the problem of precise rudder control." Transport automation research 10, no. 4 (2024): 372–81. https://doi.org/10.20295/2412-9186-2024-10-04-372-381.

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the development of a mathematical model of autonomous guidance for unmanned aerial vehicles based on computer vision is presented. The model uses a nonlinear response function with dynamic variation of the nonlinearity coefficient depending on the distance to the target, which improves the accuracy and stability of unmanned aerial vehicle guidance given different flight conditions and target characteristics. The problem of video frame aspect ratio mismatch is also considered and methods for normalizing the coordinates of the square on the screen to ensure uniform and predicable unmanned aerial

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17

Mihalea, Andrei, and Adina Magda Florea. "Vehicle Ego-Trajectory Segmentation Using Guidance Cues." Applied Sciences 14, no. 17 (2024): 7776. http://dx.doi.org/10.3390/app14177776.

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Computer vision has significantly influenced recent advancements in autonomous driving by providing cutting-edge solutions for various challenges, including object detection, semantic segmentation, and comprehensive scene understanding. One specific challenge is ego-vehicle trajectory segmentation, which involves learning the vehicle’s path and describing it with a segmentation map. This can play an important role in both autonomous driving and advanced driver assistance systems, as it enhances the accuracy of perceiving and forecasting the vehicle’s movements across different driving scenario

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18

Vieira, David, Antoine Vie, Rodolfo Orjuela, Matthias Spisser, and Michel Basset. "A Robust Lateral Control Architecture for Off-Road Vehicle Guidance on Deformable Soils." Electronics 12, no. 11 (2023): 2395. http://dx.doi.org/10.3390/electronics12112395.

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This paper introduces a novel lateral guidance strategy for autonomous ground vehicles operating in deformable environments. The strategy combines a geometric algorithm with a dynamic controller to leverage the advantages of both methods. The geometric algorithm is based on a modified Pure Pursuit method, which calculates the lateral error by considering a dynamic parameter associated with the look-ahead distance. The controller takes model uncertainties and time-variant parameters into account in a grid-based LPV (Linear Parameter Varying) synthesis. To validate the proposed control architect

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19

Putri, Nur Farhanah Mohd Shamsuddin, M. Ramli Roshahliza, and Arifpin Mansor Muhamad. "Navigation and motion control techniques for surface unmanned vehicle and autonomous ground vehicle: a review." Bulletin of Electrical Engineering and Informatics 10, no. 4 (2021): 1893~1904. https://doi.org/10.11591/eei.v10i4.3086.

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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

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20

Chen, Bokui, Yaohui Chen, Yao Wu, Yuxuan Xiu, Xiao Fu, and Kai Zhang. "The Effects of Autonomous Vehicles on Traffic Efficiency and Energy Consumption." Systems 11, no. 7 (2023): 347. http://dx.doi.org/10.3390/systems11070347.

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This paper studies how autonomous vehicles (AVs) influence future traffic and energy consumption when adopting various route guidance strategies, which can be divided into global information strategies and local information strategies according to the scope of information collection. A mixed traffic flow model is established. Then, an autonomous vehicle model is improved to investigate the impact of six route guidance strategies. The selected strategies are specifically evaluated in a double-route scenario, considering both single-exit and dual-exit configurations. Three indicators are chosen

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21

Xie, Fengxi, Guozhen Liang, and Ying-Ren Chien. "Robust Leader–Follower Formation Control Using Neural Adaptive Prescribed Performance Strategies." Mathematics 12, no. 20 (2024): 3259. http://dx.doi.org/10.3390/math12203259.

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This paper introduces a novel leader–follower formation control strategy for autonomous vehicles, aimed at achieving precise trajectory tracking in uncertain environments. The approach is based on a graph guidance law that calculates the desired yaw angles and velocities for follower vehicles using the leader’s reference trajectory, improving system stability and predictability. A key innovation is the development of a Neural Adaptive Prescribed Performance Controller (NA-PPC), which incorporates a Radial Basis Function Neural Network (RBFNN) to approximate nonlinear system dynamics and enhanc

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22

Erginli, Mustafa, and Ibrahim Cil. "Deep-Learning-Based Floor Path Model for Route Tracking of Autonomous Vehicles." Systems 10, no. 3 (2022): 83. http://dx.doi.org/10.3390/systems10030083.

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Real-time route tracking is an important research topic for autonomous vehicles used in industrial facilities. Traditional methods such as copper line tracking on the ground, wireless guidance systems, and laser systems are still used in route tracking. In this study, a deep-learning-based floor path model for route tracking of autonomous vehicles is proposed. A deep-learning floor path model and algorithm have been developed for highly accurate route tracking, which avoids collisions of vehicles and follows the shortest route to reach the destination. The floor path model consists of markers.

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23

Milanés, Vicente, José E. Naranjo, Carlos González, Javier Alonso, and Teresa de Pedro. "Autonomous vehicle based in cooperative GPS and inertial systems." Robotica 26, no. 5 (2008): 627–33. http://dx.doi.org/10.1017/s0263574708004232.

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SUMMARYA system including Global Positioning Systems (GPS) and digital cartography is a good solution to carry out vehicle's guidance. However, it has inconveniences like high sensibility to multipath and interference when the GPS signal is blocked by external agents. Another system is mandatory to avoid this error. This paper presents a cooperative system based on GPS and Inertial Navigation Systems (INS) for automated vehicle position. The control system includes a decision unit to choose which value is the correct. In case GPS is working at top precision, it takes the control. On the other

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24

Wang, Yongji, and M. P. Cartmell. "Autonomous vehicle parallel parking design using function fitting approaches." Robotica 16, no. 2 (1998): 159–70. http://dx.doi.org/10.1017/s0263574798000496.

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One of the most fundamental problems in the development of an intelligent highway system or an autonomous mobile robot system for factory use is to find the necessary input control variables for smooth and safe movement of the vehicle, or robot, between any two configurations. In this paper it is demonstrated that this problem can be converted into one of finding a fitting function which satisfies the boundary conditions. Three curves, a quintic polynomial, a cubic polynomial and a triangular function are developed to perform the parallel transfer manoeuvre which forms the basis of several imp

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25

Mutlu, Lutfi, and Erol Uyar. "Indoor Navigation and Guidance of an Autonomous Robot Vehicle by Using Wireless (ZigBee) Cummunication." Advanced Materials Research 463-464 (February 2012): 1634–37. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1634.

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In this work, a novel approach for navigation and guidance of a duo cycle autonomous robot vehicle by using ZigBee wireless control is presented. For navigation the angular position and location of the vehicle is measured intermittent by means of an electronic compass and a linear position encoder. Both measured values are then compared through a PC with the reference points of a certain trajectory, so that a given path can be followed by the vehicle autonomously. Besides navigation a self developed algorithm is integrated to the system control for possible obstacle avoidance and optimal path

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Ragi, Shankarachary, ChingSeong Tan, K. Edwin, and P. Chong. "Feasibility Study of POMDP in Autonomous Amphibious Vehicle Guidance." IFAC Proceedings Volumes 46, no. 10 (2013): 85–90. http://dx.doi.org/10.3182/20130626-3-au-2035.00042.

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27

Tsumura, Toshihiro. "The ABC's of Wheeled Vehicle. IV. Guidance, Autonomous Mobility." Journal of the Robotics Society of Japan 13, no. 5 (1995): 647–51. http://dx.doi.org/10.7210/jrsj.13.647.

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28

Behringer, R., and N. Muller. "Autonomous road vehicle guidance from autobahnen to narrow curves." IEEE Transactions on Robotics and Automation 14, no. 5 (1998): 810–15. http://dx.doi.org/10.1109/70.720356.

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29

Chen, Xian, E. L. Dagless, Shu-jun Zhang, and B. T. Thomas. "An Improved Plan-View Method for Autonomous Vehicle Guidance." IFAC Proceedings Volumes 26, no. 1 (1993): 499–504. http://dx.doi.org/10.1016/s1474-6670(17)49349-9.

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30

Ollero, A., B. C. Arrue, J. Ferruz, et al. "Control and perception components for autonomous vehicle guidance. Application to the ROMEO vehicles." Control Engineering Practice 7, no. 10 (1999): 1291–99. http://dx.doi.org/10.1016/s0967-0661(99)00091-x.

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31

Li, Zhen, Xin Chen, and Zhenhua Zhao. "Design of Standoff Cooperative Target-Tracking Guidance Laws for Autonomous Unmanned Aerial Vehicles." Mathematical Problems in Engineering 2021 (April 30, 2021): 1–14. http://dx.doi.org/10.1155/2021/6682160.

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This paper investigates two guidance laws of standoff cooperative tracking static and moving of multiple autonomous unmanned aerial vehicles for targets from the perspective of the control system design. In the scheme of the proposed guidance laws, one vehicle is chosen as leader and others as followers. The leader only needs the measurement of the target, and the followers only measure the leader and its neighbors in the communication topology network. By using the proposed guidance laws, it is guaranteed that all vehicles can track a static or moving target with an evenly spaced formation of

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32

Jiménez, Felipe, Miguel Clavijo, José Eugenio Naranjo, and Óscar Gómez. "Improving the Lane Reference Detection for Autonomous Road Vehicle Control." Journal of Sensors 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/9497524.

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Autonomous road vehicles are increasingly becoming more important and there are several techniques and sensors that are being applied for vehicle control. This paper presents an alternative system for maintaining the position of autonomous vehicles without adding additional elements to the standard sensor architecture, by using a 3D laser scanner for continuously detecting a reference element in situations in which the GNSS receiver fails or provides accuracy below the required level. Considering that the guidance variables are more accurately estimated when dealing with reference points in fr

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Yu, Dongyeon, Chanho Park, Hoseung Choi, Donggyu Kim, and Sung-Ho Hwang. "Takeover Safety Analysis with Driver Monitoring Systems and Driver–Vehicle Interfaces in Highly Automated Vehicles." Applied Sciences 11, no. 15 (2021): 6685. http://dx.doi.org/10.3390/app11156685.

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According to SAE J3016, autonomous driving can be divided into six levels, and partially automated driving is possible from level three up. A partially or highly automated vehicle can encounter situations involving total system failure. Here, we studied a strategy for safe takeover in such situations. A human-in-the-loop simulator, driver–vehicle interface, and driver monitoring system were developed, and takeover experiments were performed using various driving scenarios and realistic autonomous driving situations. The experiments allowed us to draw the following conclusions. The visual–audit

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Chang, Ching-Wei, Li-Yu Lo, Hiu Ching Cheung, et al. "Proactive Guidance for Accurate UAV Landing on a Dynamic Platform: A Visual–Inertial Approach." Sensors 22, no. 1 (2022): 404. http://dx.doi.org/10.3390/s22010404.

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This work aimed to develop an autonomous system for unmanned aerial vehicles (UAVs) to land on moving platforms such as an automobile or a marine vessel, providing a promising solution for a long-endurance flight operation, a large mission coverage range, and a convenient recharging ground station. Unlike most state-of-the-art UAV landing frameworks that rely on UAV onboard computers and sensors, the proposed system fully depends on the computation unit situated on the ground vehicle/marine vessel to serve as a landing guidance system. Such a novel configuration can therefore lighten the burde

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Miranda Jiménez, Leidys, Yunier Yunier Valeriano-Medina, and Ángel Camero Álvarez. "Guidance scheme for paths without temporary restrictions using the Krick Felix model boat under the influence of sea currents." Sistemas y Telemática 16, no. 46 (2018): 59–70. http://dx.doi.org/10.18046/syt.v16i46.3088.

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The autonomous surface vehicles are composed of a guidance, navigation, and control systems where the first one plays an important role in missions without human intervention. This article presents the design of a guidance system made of an I-LOS controller, where its purpose is to achieve the convergence and the precise following of straight paths, regardless of the sea currents presence. The controller gains adjustment is performed according to the vehicle features and the geometry of the path to follow. The proposed guidance algorithm is assessed through simulation, obtaining favorable resu

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Rathour, Swarn Singh, Naomi Kato, Naoto Tanabe, et al. "Spilled Oil Autonomous Tracking Using Autonomous Sea Surface Vehicle." Marine Technology Society Journal 49, no. 3 (2015): 102–16. http://dx.doi.org/10.4031/mtsj.49.3.15.

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Abstract Over the past several decades, a concerted scientific effort has been made to estimate the drift and spread of spilled oil on the ocean surface. However, tracking spilled oil in open water remains challenging. This research focuses on the problem of autonomous oil spill tracking in oceanic marine environments. We describe a sensor-based guidance, navigation, and control system (GNCS) for oil spill tracking by an autonomous surface vehicle (ASV) in unsteady and uncertain environments. First, we describe the design and development of a yacht-shaped ASV that can track spilled oil on the

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Jung, Young-Yoon, Geun-Mo Kim, and Young-Jae Ryoo. "Magnetic Position Sensing System for Autonomous Vehicle and Robot Guidance." Journal of Korean Institute of Intelligent Systems 17, no. 2 (2007): 214–19. http://dx.doi.org/10.5391/jkiis.2007.17.2.214.

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Dickmanns, E. D., and A. Zapp. "Autonomous High Speed Road Vehicle Guidance by Computer Vision 1." IFAC Proceedings Volumes 20, no. 5 (1987): 221–26. http://dx.doi.org/10.1016/s1474-6670(17)55320-3.

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Harris, Preethi. "SMART OBJECT DETECTION FOR AUTONOMOUS VEHICLES." international journal of advanced research in computer science 16, no. 03 (2025): 100–103. https://doi.org/10.26483/ijarcs.v16i3.7249.

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: A smart object detection system receives development with the purpose of supporting autonomous vehicles through improved safety mechanisms and decision-making capabilities. Real- time operation and accurate vehicle classification with high confidence rates make this system possible through its deep learning-based object detection model which received training from KITTI dataset data. The voice navigation module produces reactive commands such as “Obstacle on left, turn right” through its spatial awareness capabilities to enable responsive guidance. Through its testing the model operates effe

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Inagaki, Shinkichi, Tatsuya Suzuki, Takahiro Ito, and Wu Shidan. "Design of Autonomous/Man-Machine-Cooperative Mobile Robot." Journal of Robotics and Mechatronics 21, no. 2 (2009): 252–59. http://dx.doi.org/10.20965/jrm.2009.p0252.

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The control methodology we propose for a nonholonomic electric two-wheeled vehicle combines autonomous control and man-machine-cooperative control. “Autonomous control” is designed using time-state control to reduce vehicle deviation from a guidance line. “Man-machine-cooperative control” is designed using impedance control to generate power to assist user maneuvers. Experiments demonstrate the usefulness of our proposed design.

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Zhang, Zhouyu, Yunfeng Cao, Meng Ding, Likui Zhuang, and Jiang Tao. "Vision-based guidance for fixed-wing unmanned aerial vehicle autonomous carrier landing." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 8 (2018): 2894–913. http://dx.doi.org/10.1177/0954410018788003.

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Autonomous carrier landing is regarded as a crucial problem among the flight stages of carrier-based unmanned aerial vehicle. In recent years, vision-based guidance has become a promising solution for unmanned aerial vehicle autonomous carrier landing. In this paper a new vision-based navigation scheme is proposed for unmanned aerial vehicle autonomous carrier landing. The scheme aims at dealing with two core problems: searching the carrier by using the images obtained from the airborne forward-looking camera and estimating the relative position and attitude between the unmanned aerial vehicle

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Liang, Xiao (Joyce), S. Ilgin Guler, and Vikash V. Gayah. "Joint Optimization of Signal Phasing and Timing and Vehicle Speed Guidance in a Connected and Autonomous Vehicle Environment." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 4 (2019): 70–83. http://dx.doi.org/10.1177/0361198119841285.

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A joint traffic signal optimization algorithm is proposed which utilizes connected vehicle (CV) information to identify optimum signal timing and phasing plans while also providing speed guidance to individual vehicles to minimize total number of stopping maneuvers. The contribution of this paper is provision of speed guidance to both autonomous (AVs) and human-driven speed guidance-enabled vehicles (SGVs), recognizing that the latter may not fully comply with the speed guidance and would require some delay (i.e., reaction time) to implement it. The control algorithm is triggered at regular di

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Jia, Zili. "The Study on the Co-Optimization of Guidance Decision-Making and Chassis Control for Self-Driving Vehicles." MATEC Web of Conferences 410 (2025): 04012. https://doi.org/10.1051/matecconf/202541004012.

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In the context of rapidly developing Autonomous Driving Technology, the realization of efficient and safe Autonomous Driving has become a research hotspot. This paper focuses on the cooperative optimization of guidance decision-making and chassis control for self-driving vehicles to develop a comprehensive review. The study begins with the importance of planning vehicle driving paths and managing traffic scenarios, and then delves into the importance of chassis control in executing commands and preserving vehicle dynamics. The section on current research includes cooperative methods based on m

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Villa, Jose, Jussi Aaltonen, Sauli Virta, and Kari T. Koskinen. "A Co-Operative Autonomous Offshore System for Target Detection Using Multi-Sensor Technology." Remote Sensing 12, no. 24 (2020): 4106. http://dx.doi.org/10.3390/rs12244106.

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This article studies the design, modeling, and implementation challenges for a target detection algorithm using multi-sensor technology of a co-operative autonomous offshore system, formed by an unmanned surface vehicle (USV) and an autonomous underwater vehicle (AUV). First, the study develops an accurate mathematical model of the USV to be included as a simulation environment for testing the guidance, navigation, and control (GNC) algorithm. Then, a guidance system is addressed based on an underwater coverage path for the AUV, which uses a mechanical imaging sonar as the primary AUV percepti

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Ridley, Peter, and Peter Corke. "Load Haul Dump Vehicle Kinematics and Control." Journal of Dynamic Systems, Measurement, and Control 125, no. 1 (2003): 54–59. http://dx.doi.org/10.1115/1.1541671.

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This paper examines the kinematics and control of a Load Haul Dump Vehicle used in underground mining operations. The aim of the work is to develop an autonomous guidance strategy. A linear, state-space, mathematical model of the vehicle is derived purely from geometric consideration of the vehicle and its desired path. Autonomous regulation of the vehicle is shown to be theoretically feasible using state variable feedback of displacement, heading, and curvature error. A relationship between stability and vehicle speed is derived. This expression forms the basis of an adaptive tuning strategy,

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Edwards, John. "Signal Processing Improves Autonomous Vehicle Navigation Accuracy: Guidance Innovations Promise Safer and More Reliable Autonomous Vehicle Operation [Special Reports]." IEEE Signal Processing Magazine 36, no. 2 (2019): 15–18. http://dx.doi.org/10.1109/msp.2018.2884745.

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Mihailescu, Cristina, and Ioan Farcasan. "Mathematical Model for Studying the Evolution of Multi-Role Unmanned Aerial Vehicle in Turbulent Atmosphere." Applied Mechanics and Materials 325-326 (June 2013): 984–89. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.984.

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The paper purpose is to present some aspects regarding the control system of unmanned aerial vehicle - UAV, used for local observations, surveillance and monitoring of interest area or as a training target for anti-aircraft systems. The calculus methodology allows a numerical simulation of UAV evolution in bad atmospheric conditions by using a nonlinear model, as well as a linear one for obtaining the guidance command. The UAV model which will be presented has six DOF (degrees of freedom), and an autonomous control system. This theoretical development allows us to build the stability matrix, c

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Qin, Xuesheng, Kebo Li, Yangang Liang, and Yuanhe Liu. "Minimum-Effort Waypoint-Following Differential Geometric Guidance Law Design for Endo-Atmospheric Flight Vehicles." Drones 7, no. 6 (2023): 369. http://dx.doi.org/10.3390/drones7060369.

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To improve the autonomous flight capability of endo-atmospheric flight vehicles, such as cruise missiles, drones, and other small, low-cost unmanned aerial vehicles (UAVs), a novel minimum-effort waypoint-following differential geometric guidance law (MEWFDGGL) is proposed in this paper. Using the classical differential geometry curve theory, the optimal guidance problem of endo-atmospheric flight vehicles is transformed into an optimal space curve design problem, where the guidance command is the curvature. On the one hand, the change in speed of the flight vehicle is decoupled from the guida

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Gautam, Alvika, Mandeep Singh, Pedda Baliyarasimhuni Sujit, and Srikanth Saripalli. "Autonomous Quadcopter Landing on a Moving Target." Sensors 22, no. 3 (2022): 1116. http://dx.doi.org/10.3390/s22031116.

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Autonomous landing on a moving target is challenging because of external disturbances and localization errors. In this paper, we present a vision-based guidance technique with a log polynomial closing velocity controller to achieve faster and more accurate landing as compared to that of the traditional vertical landing approaches. The vision system uses a combination of color segmentation and AprilTags to detect the landing pad. No prior information about the landing target is needed. The guidance is based on pure pursuit guidance law. The convergence of the closing velocity controller is show

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Brinkley, Julian, Earl W. Huff, Kwajo Boateng, and Suyash Ahire. "Autonomous Vehicle Design Anti-Patterns: Making Emerging Transportation Technologies Inaccessible by Design." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 1038–42. http://dx.doi.org/10.1177/1071181320641249.

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Fully autonomous or “self-driving” vehicles represent a potentially transformative shift in personal mobility. Given the emerging nature of self-driving vehicle technologies, however, guidance for accessible implementation is limited. It has been suggested that the result is that much of this emerging technology is being designed in a manner that will render it largely inaccessible for persons with disabilities. Borrowing from object-oriented programming we identify common barriers to accessibility which we argue are de facto anti- patterns in the design of accessible self-driving vehicle tech

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