Academic literature on the topic 'Autonomous vehicle guidance'

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Journal articles on the topic "Autonomous vehicle guidance"

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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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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>&mdash;</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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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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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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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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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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Dissertations / Theses on the topic "Autonomous vehicle guidance"

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Adolfsson, Alexander, and Daniel Arrhenius. "Overseeing Intersection System for Autonomous Vehicle Guidance." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254219.

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Intersections represents one of the most common accident sites in traffic today. The biggest cause of accidents is obstructed view and subpar communication between vehicles. Since autonomous vehicles rely on sensors that require a direct view intersections are some of the most complex situations. Where the potential for inter vehicular communication exists between modern vehicles, it is absent in the older generation. An overseeing intersection system can fill this function during the transition period to fully autonomous traffic. This project aimed to implement an intersection system to assis
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Bergquist, Urban. "Colour Vision and Hue for Autonomous Vehicle Guidance." Thesis, Linköping University, Linköping University, Computer Vision, 1999. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54362.

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<p>We explore the use of colour for interpretation of unstructured off-road scenes. The aim is to extract driveable areas for use in an autonomous off-road vehicle in real-time. The terrain is an unstructured tropical jungle area with vegetation, water and red mud roads.</p><p>We show that hue is both robust to changing lighting conditions and an important feature for correctly interpreting this type of scene. We believe that our method also can be deployed in other types of terrain, with minor changes, as long as the terrain is coloured and well saturated.</p><p>Only 2D information is process
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Naeem, Wasif. "Guidance and control of an autonomous underwater vehicle." Thesis, University of Plymouth, 2004. http://hdl.handle.net/10026.1/2822.

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A cooperative project between the Universities of Plymouth and Cranfield was aimed at designing and developing an autonomous underwater vehicle named Hammerhead. The work presented herein is to formulate an advance guidance and control system and to implement it in the Hammerhead. This involves the description of Hammerhead hardware from a control system perspective. In addition to the control system, an intelligent navigation scheme and a state of the art vision system is also developed. However, the development of these submodules is out of the scope of this thesis. To model an underwater ve
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Mark, Wannes van der. "Stereo and colour vision techniques for autonomous vehicle guidance." [S.l : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2007. http://dare.uva.nl/document/47628.

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Magrino, Christopher. "Three dimensional guidance for the NPS autonomous underwater vehicle." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28610.

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Cloutier, Michael John. "Guidance and control system for an Autonomous Underwater Vehicle." Thesis, Monterey, California. Naval Postgraduate School, 1990. http://hdl.handle.net/10945/30635.

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Approved for public release, distribution is unlimited<br>The Naval Postgraduate School (NPS) is currently involved in a long-term project to investigate and develop real-time control software, artificial intelligence, computer architecture and control systems theory as they pertain to U.S. Navy autonomous vehicle programs. In support of this goal, the NPS is currently designing and fabricating a testbed autonomous underwater vehicle. This work describes the design, development, and testing of a Guidance Subsystem for this testbed vehicle which uses portions of cubic spirals as the desired pat
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Pears, Nicholas Edwin. "The low-level guidance of an experimental autonomous vehicle." Thesis, Durham University, 1989. http://etheses.dur.ac.uk/6731/.

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This thesis describes the data processing and the control that constitutes a method of guidance for an autonomous guided vehicle (AGV) operating in a predefined and structured environment such as a warehouse or factory. A simple battery driven vehicle has been constructed which houses an MC68000 based microcomputer and a number of electronic interface cards. In order to provide a user interface, and in order to integrate the various aspects of the proposed guidance method, a modular software package has been developed. This, along with the research vehicle, has been used to support an experime
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Boulekchour, M. "Robust convex optimisation techniques for autonomous vehicle vision-based navigation." Thesis, Cranfield University, 2015. http://dspace.lib.cranfield.ac.uk/handle/1826/9412.

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This thesis investigates new convex optimisation techniques for motion and pose estimation. Numerous computer vision problems can be formulated as optimisation problems. These optimisation problems are generally solved via linear techniques using the singular value decomposition or iterative methods under an L2 norm minimisation. Linear techniques have the advantage of offering a closed-form solution that is simple to implement. The quantity being minimised is, however, not geometrically or statistically meaningful. Conversely, L2 algorithms rely on iterative estimation, where a cost function
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Jantapremjit, Pakpong. "A guidance-control approach applied to an autonomous underwater vehicle." Thesis, University of Southampton, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494914.

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Subramanian, Vijay. "Autonomous vehicle guidance using machine vision and laser radar for agricultural applications." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011323.

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Books on the topic "Autonomous vehicle guidance"

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Miller, Richard Kendall. Survey on autonomous vehicle guidance systems. Future Technology Surveys, 1989.

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Magrino, Christopher. Three dimensional guidance for the NPS autonomous underwater vehicle. Naval Postgraduate School, 1991.

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Song, Zhengyu, Dangjun Zhao, and Stephan Theil, eds. Autonomous Trajectory Planning and Guidance Control for Launch Vehicles. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0613-0.

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Kapelios, Ioannis. Stability of turning rate guidance and control laws for autonomous vehicles. Naval Postgraduate School, 1992.

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Flight Mechanics Symposium (1999 Goddard Space Flight Center). 1999 Flight Mechanics Symposium: Proceedings of a conference sponsored and held at NASA Goddard Space Flight Center, Greenbelt, Maryland, May 18-28, 1999. National Aeronautics and Space Administration, 1999.

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P, Lynch John, and Goddard Space Flight Center, eds. 1999 Flight mechanics symposium. The Center, 1999.

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Bertozzi, Massimmo. Automatic Vehicle Guidance: The Experience of the ARGO Autonomous Vehicle. World Scientific Publishing Co Pte Ltd, 1999.

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Automatic Vehicle Guidance: The Experience of the ARGO Autonomous Vehicle. World Scientific Publishing Company, 1999.

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Automatic Vehicle Guidance: The Experience of the ARGO Autonomous Vehicle. World Scientific Publishing Company, 1999.

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Beyond traffic signals [electronic resource]: A paradigm shift : intersection control for autonomous vehicles. U.S. Dept. of Transportation, Federal Highway Administration, 2010.

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Book chapters on the topic "Autonomous vehicle guidance"

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Hongo, Takero, Hideo Arakawa, Gunji Sugimoto, Koichi Tange, and Yuzo Yamamoto. "An Automatic Guidance System of a Self-Controlled Vehicle." In Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_3.

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Kober, Werner, Richard Huber, and Ralf Oberfell. "Vehicle Reference Lane Calculation for Autonomous Vehicle Guidance Control." In Automated Driving. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31895-0_6.

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Nwagboso, Christopher O. "Autonomous vehicle guidance using laser range imagery." In Automotive Sensory Systems. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1508-7_11.

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Thomanek, F., and E. D. Dickmanns. "Autonomous road vehicle guidance in normal traffic." In Recent Developments in Computer Vision. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-60793-5_103.

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Jia, Jian, Weifeng Chen, and Zixuan Wang. "Aerodynamic Parameter Estimation for Launch Vehicles." In Autonomous Trajectory Planning and Guidance Control for Launch Vehicles. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0613-0_7.

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AbstractAerodynamic force plays an important role in the flight of space launch vehicles. Therefore, obtaining accurate aerodynamic characteristics is the basis and prerequisite for establishing an aerodynamic model and designing a vehicle with excellent characteristics.
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Indiveri, Giacomo, and Paul Verschure. "Autonomous vehicle guidance using analog VLSI neuromorphic sensors." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0020254.

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Jenie, Yazdi Ibrahim, Erik-Jan van Kampen, and Bart Remes. "Cooperative Autonomous Collision Avoidance System for Unmanned Aerial Vehicle." In Advances in Aerospace Guidance, Navigation and Control. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38253-6_24.

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Wang, Xiaowei, Feng Zhang, Dongsheng Hu, Rong Chen, and Zhengyu Song. "Review, Prospect and Technical Challenge of Launch Vehicle." In Autonomous Trajectory Planning and Guidance Control for Launch Vehicles. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0613-0_1.

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AbstractFollowing six decades of development, the technology of launch vehicle has progressed with respect to the dual action of demand traction and technical promotion, providing increasingly valuable high-tech services for society. Currently, the development of launch vehicle is progressing with respect to stronger capabilities, higher reliability, lowering costs, flexibility, and user convenience. Retrospectively, the global development history of the launch vehicle technology can be roughly categorized into four stages with distinct characteristics of the decades.
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Yan, Xiaodong, and Cong Zhou. "Ascent Predictive Guidance for Thrust Drop Fault of Launch Vehicles Using Improved GS-MPSP." In Autonomous Trajectory Planning and Guidance Control for Launch Vehicles. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0613-0_3.

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AbstractIncreasing complex space missions require launch vehicles to be with greater load-carrying capacity, better orbit injection accuracy and higher reliability. Such demands also cause the increased complexity of the vehicle, leading to a higher probability of fault, especially for the propulsion system. To remedy this issue, an advanced and robust ascent guidance capable of fault-tolerant is critical for the success of mission. Iterative guidance method [1] (IGM) and powered explicit guidance [2] (PEG) are two commonly used methods for the ascent phase of launch vehicles. These two guidan
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Liu, ChangBo, and Hao Ding. "Research on Optimal Guidance Law of Autonomous Underwater Vehicle." In Advances in Mechanical and Electronic Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31507-7_80.

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Conference papers on the topic "Autonomous vehicle guidance"

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Feit, Andrew, and Berenice Mettler. "Information-Based Analysis of Visual Cues in Human Guidance." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11578.

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Perception plays a central role in such humans' motion guidance skills as precision rotorcraft landing or driving a car. This paper investigates the information available in visible cues, relative to a first-person motion guidance task, in terms of sensory-motor guidance primitives. Human subjects performed a motion guidance task in a 3D simulation system, using only visual information. Guidance primitive patterns were identified from recorded subject motion and perception behavior. Information transfer between visual measurements and vehicle motion is quantified from the resulting data to ide
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Xu, Zhanguo, Yunfei Yin, Yuanlong Wei, and Wangyang Jiang. "Improved Model-Free Adaptive Control and Line-of-Sight Guidance for Autonomous Vehicle Path Following." In 2025 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2025. https://doi.org/10.1109/icit63637.2025.10965292.

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Holmes, William, and Jack Langelaan. "Autonomous Ship-board Landing using Monocular Vision." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11575.

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This paper describes a system for landing a vertical take-off and landing vehicle on a moving deck using a monocular vision system and inertial measurement unit. Data from the vision system and IMU are used to compute an estimate of relative deck position, and a touchdown trajectory generator based on tau-guidance is used to compute a path to landing. A trajectory-following controller follows the landing path. Computing relative deck state means that GPS is not required. To tests the system, landings to both a stationary deck and a moving deck were done in an indoor flight facility using a hex
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Bershadsky, Dmitry, and Eric Johnson. "Benchmarking of UAV Guidance Systems in Nap of the Earth (NOE) Flight." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9672.

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This paper describes the development of a proposed framework of metrics for the evaluation of the performance of aircraft guidance systems. The methodologies and metrics developed remain generally agnostic to whether or not the aircraft is manned. Although more complicated missions such as autonomous exploration/search, ferry, surveillance, multi-agent collaboration, and manned flight may be addressed at a later time, A-B flight scenarios are chosen to study the proposed metrics. The proposed metrics will form building blocks for the more complicated missions. Metrics development has thus far
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Kim, Moon Hwan, Teasuk Yoo, and Kyungwon Nam. "Advanced Hardware-In-The-Loop System for Guidance and Navigation Control Systems of Autonomous Underwater Vehicle." In OCEANS 2024 - SINGAPORE. IEEE, 2024. http://dx.doi.org/10.1109/oceans51537.2024.10682185.

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Kumar, P. S. V. S. Sai, and Radhakant Padhi. "Minimum Jerk Guidance for Autonomous Soft-Landing of an Unmanned Aerial Vehicle on a Moving Platform." In 2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2024. https://doi.org/10.1109/icarcv63323.2024.10821656.

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Wang, Ronghua, Haodong Yuan, Nailong Wu, and Jie Qi. "Vector Field-Based Forward Prediction Adaptive Line-of-Sight Guidance Law for an Autonomous Marine Vehicle." In 2024 2nd International Conference on Artificial Intelligence and Automation Control (AIAC). IEEE, 2024. https://doi.org/10.1109/aiac63745.2024.10899644.

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Kyung-Bok Sung, Kyoung-Wook Min, Ju-Wan Kim, and Jung-Dan Choi. "Autonomous vehicle guidance system with infrastructure." In 2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, 2013. http://dx.doi.org/10.1109/icspcs.2013.6723936.

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Salehi, Amir, Jinbiao Li, and Ping Lu. "Motion controller design of autonomous vehicle." In Guidance, Navigation, and Control Conference. American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-3345.

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Ryoo, Young-Jae, Young-Hak Chang, Dae-Yeong Lim, and Yong-Jun Lee. "Autonomous Robotic Vehicle (Robicle) With Ambient Intelligence." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86986.

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Magnetic sensing is a reliable technology that has been developed for the purposed of position measurement and guidance, especially for applications in autonomous robotic vehicles. To calculate a position of a magnetic guidance road, it should be estimated in real-time. While the capability of a microprocessor and memory spaces have the limitation in implementation. To solve the above problems, this paper proposes a new structure of the magnetic sensors included a vertical magnetic field. The proposed method uses the linear region of the sensor output, and position determination using a simple
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Reports on the topic "Autonomous vehicle guidance"

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Ukkusuri, Satish, Fasil Sagir, Nishtha Mahajan, Benjamin Bowman, and Salil Sharma. Strategic and Tactical Guidance for the Connected and Autonomous Vehicle Future. Purdue University, 2019. http://dx.doi.org/10.5703/1288284316879.

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Dukarski, Jennifer. Unsettled Legal Issues Facing Data in Autonomous, Connected, Electric, and Shared Vehicles. SAE International, 2021. http://dx.doi.org/10.4271/epr2021019.

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Modern automobiles collect around 25 gigabytes of data per hour and autonomous vehicles are expected to generate more than 100 times that number. In comparison, the Apollo Guidance Computer assisting in the moon launches had only a 32-kilobtye hard disk. Without question, the breadth of in-vehicle data has opened new possibilities and challenges. The potential for accessing this data has led many entrepreneurs to claim that data is more valuable than even the vehicle itself. These intrepid data-miners seek to explore business opportunities in predictive maintenance, pay-as-you-drive features,
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Cowen, Steve, Susan Briest, and James Dombrowski. Underwater Docking of Autonomous Undersea Vehicles Using Optical Terminal Guidance. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada422445.

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chambers, Colin, and April Lockhart. Review of key machinery safety standards and guidance, and how they reflect on emerging technologies. HSE, 2024. http://dx.doi.org/10.69730/hse.24rr1214.

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Two key regulations supporting machinery safety in the UK are the Supply of Machinery (Safety) Regulations 2008 (SMSR) and the Provision and Use of Work Equipment Regulations 1998 (PUWER). Considering the emergence of new and emerging technologies, particularly autonomous mobile robots (AMR) and autonomous agricultural vehicles (AAV), and the potential utilization of artificial intelligence (AI) for machinery safety, HSE commissioned a study to identify gaps in existing standards and guidance documents.
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Benkraouda, Ouafa, Lindsay Braun, and Arnab Chakraborty. Policies and Design Guidelines to Plan for Connected and Autonomous Vehicles. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-012.

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This report chronicles the work undertaken by researchers at the University of Illinois Urbana Champaign to identify policies and design guidelines to plan for connected and autonomous vehicles (CAVs) in mid-sized regions in Illinois. The report starts with the goals of this work followed by a review of existing literature. The review addresses CAV technologies and scenario planning, including academic research articles, policies and guidance documents from federal and state agencies, and recent long-range transportation plans. The review findings are organized into three categories—drivers, l
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