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Relevant bibliographies by topics / Autonomous vehicles

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Academic literature on the topic 'Autonomous vehicles'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Autonomous vehicles"

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Liu, Shuangrui, Hao Yang, and Lizao Wang. "Research on autonomous drift control for vehicles." Journal of Physics: Conference Series 3019, no. 1 (2025): 012066. https://doi.org/10.1088/1742-6596/3019/1/012066.

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Abstract The stability control of vehicle movement directly affects the safety and reliability of autonomous vehicles. When a vehicle is in extreme conditions, it is easy to lose stability and lead to accidents. Based on the drift control of racing vehicles under extreme conditions, this paper studies the emergency rescue control strategy for autonomous driving vehicles under extreme conditions. An algorithm similar to the drift control ability of racing drivers is designed. By predicting the vehicle’s driving trajectory and combining automatic steering, clutch, and throttle technologies, the

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Tulsyan, Ansh, Anshul Bhardwaj, Pranjal Shukla, Piyush Gautam, and Tushar Singh. "Autonomous Vehicle Simulation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40459.

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Autonomous vehicles represent a revolutionary advancement in transportation technology, relying heavily on sophisticated simulations for development and testing. This abstract presents an approach to autonomous vehicle simulation utilizing the Udacity Self-Driving Car Nanodegree platform coupled with Convolutional Neural Networks (CNNs) for perception tasks. The simulation environment provided by Udacity offers a realistic representation of urban driving scenarios, allowing developers to test and train autonomous vehicle algorithms in a virtual setting before deploying them on real-world roads

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PRATA, Tiago, Miguel MIRA DA SILVA, Flávia SANTORO, and António REIS PEREIRA. "ASSESSING THE DEVELOPMENT OF AUTONOMOUS CARS." Transport Problems 19, no. 1 (2024): 209–18. http://dx.doi.org/10.20858/tp.2024.19.1.17.

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With recent innovations regarding autonomous vehicles and the fact that several vehicle brands have started to deploy autonomous driving functionalities, it is still unknown what these innovations may offer to social lives. Owing to the ability to autonomously drive from one location to another, the concept of shared autonomous vehicles was created to let an individual turn their assets into a source of income while other individuals could use this service without having to own a vehicle. The development of this emerging concept was aided by an evaluation of an ontology already presented regar

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Kim, JongBae. "Deep Learning-Based Vehicle Type and Color Classification to Support Safe Autonomous Driving." Applied Sciences 14, no. 4 (2024): 1600. http://dx.doi.org/10.3390/app14041600.

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This technology can prevent accidents involving large vehicles, such as trucks or buses, by selecting an optimal driving lane for safe autonomous driving. This paper proposes a method for detecting forward-driving vehicles within road images obtained from a vehicle’s DashCam. The proposed method also classifies the types and colors of the detected vehicles. The proposed method uses a YOLO deep learning network for vehicle detection based on a pre-trained ResNet-50 convolutional neural network. Additionally, a Resnet-50 CNN-based object classifier, using transfer learning, was used to classify

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Hasan, Hasnawiya, Faizal Arya Samman, Muh Anshar, and Rhiza S. Sadjad. "Autonomous vehicle tracking control for a curved trajectory." Bulletin of Electrical Engineering and Informatics 13, no. 3 (2024): 1535–45. http://dx.doi.org/10.11591/eei.v13i3.6060.

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Recently, research about trajectory tracking of autonomous vehicles has significantly contributed to the development of autonomous vehicle technology, particularly with novel control methods. However, tracking a curved trajectory is still a challenge for autonomous vehicles. This research proposes a state feedback linearization with observer feedback to overcome some difficulties arising from such a path. This approach suits a complex nonlinear system such as an autonomous vehicle. This method also has been compared with the linear-quadratic regulator (LQR) method. So, the goal of this researc

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Alsuwian, Turki, Mian Hamza Usman, and Arslan Ahmed Amin. "An Autonomous Vehicle Stability Control Using Active Fault-Tolerant Control Based on a Fuzzy Neural Network." Electronics 11, no. 19 (2022): 3165. http://dx.doi.org/10.3390/electronics11193165.

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Due to instability issues in autonomous vehicles, the risk of danger is increasing rapidly. These problems arise due to unwanted faults in the sensor or the actuator, which decrease vehicle efficiency. In this modern era of autonomous vehicles, the risk factor is also increased as the vehicles have become automatic, so there is a need for a fault-tolerant control system (FTCS) to avoid accidents and reduce the risk factors. This paper presents an active fault-tolerant control (AFTC) for autonomous vehicles with a fuzzy neural network that can autonomously identify any wheel speed problem to av

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Bhavsar, Parth, Plaban Das, Matthew Paugh, Kakan Dey, and Mashrur Chowdhury. "Risk Analysis of Autonomous Vehicles in Mixed Traffic Streams." Transportation Research Record: Journal of the Transportation Research Board 2625, no. 1 (2017): 51–61. http://dx.doi.org/10.3141/2625-06.

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The introduction of autonomous vehicles in the surface transportation system could improve traffic safety and reduce traffic congestion and negative environmental effects. Although the continuous evolution in computing, sensing, and communication technologies can improve the performance of autonomous vehicles, the new combination of autonomous automotive and electronic communication technologies will present new challenges, such as interaction with other nonautonomous vehicles, which must be addressed before implementation. The objective of this study was to identify the risks associated with

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Raiyn, Jamal. "Data and Cyber Security in Autonomous Vehicle Networks." Transport and Telecommunication Journal 19, no. 4 (2018): 325–34. http://dx.doi.org/10.2478/ttj-2018-0027.

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Abstract An autonomous vehicle (AV) is a vehicle that operates and performs tasks under its own power. Some features of autonomous vehicle are sensing the environment, collecting information and managing communication with other vehicles. Many autonomous vehicles in development use a combination of cameras, sensors, GPS, radar, LiDAR, and on-board computers. These technologies work together to map the vehicle’s position and its proximity to everything around it. Because of their reliance on these sorts of technologies, which are easily accessible to tampering, a autonomous vehicles are suscept

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Gao, Kai, Di Yan, Fan Yang, et al. "Conditional Artificial Potential Field-Based Autonomous Vehicle Safety Control with Interference of Lane Changing in Mixed Traffic Scenario." Sensors 19, no. 19 (2019): 4199. http://dx.doi.org/10.3390/s19194199.

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Car-following is an essential trajectory control strategy for the autonomous vehicle, which not only improves traffic efficiency, but also reduces fuel consumption and emissions. However, the prediction of lane change intentions in adjacent lanes is problematic, and will significantly affect the car-following control of the autonomous vehicle, especially when the vehicle changing lanes is only a connected unintelligent vehicle without expensive and accurate sensors. Autonomous vehicles suffer from adjacent vehicles’ abrupt lane changes, which may reduce ride comfort and increase energy consump

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Bautista-Camino, Pedro, Alejandro I. Barranco-Gutiérrez, Ilse Cervantes, Martin Rodríguez-Licea, Juan Prado-Olivarez, and Francisco J. Pérez-Pinal. "Local Path Planning for Autonomous Vehicles Based on the Natural Behavior of the Biological Action-Perception Motion." Energies 15, no. 5 (2022): 1769. http://dx.doi.org/10.3390/en15051769.

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Local path planning is a key task for the motion planners of autonomous vehicles since it commands the vehicle across its environment while avoiding any obstacles. To perform this task, the local path planner generates a trajectory and a velocity profile, which are then sent to the vehicle’s actuators. This paper proposes a new local path planner for autonomous vehicles based on the Attractor Dynamic Approach (ADA), which was inspired by the behavior of movement of living beings, along with an algorithm that takes into account four acceleration policies, the ST dynamic vehicle model, and sever

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Dissertations / Theses on the topic "Autonomous vehicles"

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Manuzzi, Nicolas. "Autonomous Vehicle and Internet on Vehicles." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9211/.

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Pérez, Tellez Adriel, and Jonas Roth. "Mobile autonomous ground vehicles." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199348.

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Arutselvan, Kuralamudhan. "Assistive Autonomous Ground Vehicles." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200530.

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Anderson, Jonathan D. "Semi Autonomous Vehicle Intelligence: Real Time Target Tracking For Vision Guided Autonomous Vehicles." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1750.pdf.

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Rahman, Md Mahbubar. "Two-Echelon Vehicle Routing Problems Using Unmanned Autonomous Vehicles." Thesis, North Dakota State University, 2017. https://hdl.handle.net/10365/28423.

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In this thesis, we investigate new multi-echelon vehicle routing problems for logistics operations using unmanned autonomous vehicles. This can provide immediate tangible outcomes, especially in high-demand areas that are otherwise difficult or costly to serve. This type of problem differs from the commonly used multi-echelon supply chain management systems in that here there exist no intermediate facilities that consolidate/separate products for delivery; instead all decisions are made on a per-vehicle basis. We describe here how we can obtain the necessary parameters (data collection) to eva

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Dowd, Garrett E. "Improving Autonomous Vehicle Safety using Communicationsand Unmanned Aerial Vehicles." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574861007798385.

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Pedreira, Carabel Carlos Javier. "Terrain Mapping for Autonomous Vehicles." Thesis, KTH, Datorseende och robotik, CVAP, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174132.

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Autonomous vehicles have become the forefront of the automotive industry nowadays, looking to have safer and more efficient transportation systems. One of the main issues for every autonomous vehicle consists in being aware of its position and the presence of obstacles along its path. The current project addresses the pose and terrain mapping problem integrating a visual odometry method and a mapping technique. An RGB-D camera, the Kinect v2 from Microsoft, was chosen as sensor for capturing information from the environment. It was connected to an Intel mini-PC for real-time processing. Both p

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Dever, Christopher W. (Christopher Walden) 1972. "Parametrized maneuvers for autonomous vehicles." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/30328.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.<br>Includes bibliographical references (p. 197-209).<br>This thesis presents a method for creating continuously parametrized maneuver classes for autonomous vehicles. These classes provide useful tools for motion planners, bundling sets of related vehicle motions based on a low-dimensional parameter vector that describes the fundamental high-level variations within the trajectory set. The method follows from a relaxation of nonlinear parametric programming necessary conditions that discards the objec

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RAHMAN, SHAHNUR. "Visual Perception in Autonomous Vehicles." Thesis, KTH, Hållbarhet och industriell dynamik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189346.

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The human factor accounts for nine out of ten out of all traffic accidents, and because more vehicles are being deployed on the roads, the number of accidents will increase. Because of this, various automated functions have been implemented in vehicles in order to minimize the human factor in driving. In recent year, this development has accelerated and vehicles able to perform the complete driving task without any human assistance have begun to emerge from different projects around the world. However, the autonomous vehicle still has many barriers to overcome before safe driving in traffic be

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Alhuttaitawi, Saif. "Intersection coordination for Autonomous Vehicles." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20936.

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Connected Autonomous Vehicles require intelligent autonomous intersection management for safe and efficient operation. Given the uncertainty in vehicle trajectory, intersection management techniques must consider a safety buffer among the vehicles, which must also account for the network and computational delay, queue and determine the best solution to avoid traffic congestions (smart intersection management), in this paper we model traffic by using Poisson distribution method then add a birth-death processes for each state and combine both two in one queuing system (The Markovian chain) to mo

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Books on the topic "Autonomous vehicles"

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Van Uytsel, Steven, and Danilo Vasconcellos Vargas, eds. Autonomous Vehicles. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9255-3.

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Yan, Jing, Xian Yang, Haiyan Zhao, Xiaoyuan Luo, and Xinping Guan. Autonomous Underwater Vehicles. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6096-2.

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Cox, Ingemar J., and Gordon T. Wilfong, eds. Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2.

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Berns, Karsten, and Ewald von Puttkamer. Autonomous Land Vehicles. Vieweg+Teubner, 2009. http://dx.doi.org/10.1007/978-3-8348-9334-5.

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Fazlollahtabar, Hamed, and Mohammad Saidi-Mehrabad. Autonomous Guided Vehicles. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14747-5.

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Cheng, Hong. Autonomous Intelligent Vehicles. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2280-7.

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Cruz, Nuno A. Autonomous underwater vehicles. InTech, 2011.

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Cox, I. J. Autonomous Robot Vehicles. Springer New York, 1990.

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J, Cox I., and Wilfong Gordon Thomas 1958-, eds. Autonomous robot vehicles. Springer-Verlag, 1990.

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Sethi, Ishwar K. Autonomous Vehicles and Systems. River Publishers, 2023. http://dx.doi.org/10.1201/9781032629537.

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Book chapters on the topic "Autonomous vehicles"

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Van Uytsel, Steven, and Danilo Vasconcellos Vargas. "Challenges for and with Autonomous Vehicles: An Introduction." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_1.

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Fenwick, Mark, and Erik P. M. Vermeulen. "Organizing-for-Innovation and New Models of Corporate Governance in the Automobile Firm of the Future." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_10.

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van Wees, Kiliaan A. P. C. "Technology in the Driver’s Seat: Legal Obstacles and Regulatory Gaps in Road Traffic Law." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_2.

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Van Uytsel, Steven. "Testing Autonomous Vehicles on Public Roads: Facilitated by a Series of Alternative, Often Soft, Legal Instruments." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_3.

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Van Uytsel, Steven. "Different Liability Regimes for Autonomous Vehicles: One Preferable Above the Other?" In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_4.

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He, Shanshan. "Who is Liable for the UBER Self-Driving Crash? Analysis of the Liability Allocation and the Regulatory Model for Autonomous Vehicles." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_5.

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Muckenhuber, Stefan, Kenan Softic, Anton Fuchs, Georg Stettinger, and Daniel Watzenig. "Sensors for Automated Driving." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_6.

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Vasconcellos Vargas, Danilo. "Learning Systems Under Attack—Adversarial Attacks, Defenses and Beyond." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_7.

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Gopalswamy, Swaminathan. "Infrastructure Enabled Autonomy—Autonomy as a Service." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_8.

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Sarvi, Majid, Saeed Asadi, and Steven Van Uytsel. "New Fixes for Old Traffic Problems: Connected Transport Systems and AIMES." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_9.

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Conference papers on the topic "Autonomous vehicles"

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Short, M. "Smart Cities and the role of Mobile." In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0058.

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Reed, N. "GATEway - Greenwich Automated Transport Environment." In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0059.

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Edwards, T. "Connected and automated vehicles: Concepts of V2x communications and cooperative driving." In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0060.

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Avery, M. "Autonomy - A key contributor to road safety." In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0061.

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Stevens, A. "Automated Platooning." In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0062.

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King, R. "Traffic Management in a Connected or Autonomous Vehicle Environment." In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0063.

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Strong, A., and S. Baker. "How will Autonomous Vehicle technologies affect driver liability and overall insurance?" In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0064.

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Blythe, P. "Autonomous Vehicles: Some thoughts on Consumer Engagement." In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0065.

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Langari, Reza. "Autonomous vehicles." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963571.

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Gangadharaiah, Rakesh, Lauren Mims, Yunyi Jia, and Johnell Brooks. "Opinions from Users Across the Lifespan about Fully Autonomous and Rideshare Vehicles with Associated Features." In WCX SAE World Congress Experience. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0673.

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<div class="section abstract"><div class="htmlview paragraph">Fully autonomous vehicles have the potential to fundamentally transform the future transportation system. While previous research has examined individuals’ perceptions towards fully autonomous vehicles, a complete understanding of attitudes and opinions across the lifespan is unknown. Therefore, individuals’ awareness, acceptance, and preferences towards autonomous vehicles were obtained from 75 participants through interviews with three diverse groups of participants: 20 automotive engineering graduate students who were

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Reports on the topic "Autonomous vehicles"

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Smith, Emma, Julie Webster, and Annette Stumpf. Autonomous Transport Innovation : the regulatory environment of autonomous vehicles. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42025.

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This technical note series under the Autonomous Transport Innovation research program is intended to be a primer on autonomous vehicles (AVs), their testing, and associated infrastructure. A review of the regulatory environment for autonomous vehicles is necessary to define rules imposed on technology or operations of autonomous vehicles in various capacities. Acknowledging such regulation will aid in productive closed-course site development by structuring the course based on what autonomous vehicle developers and manufacturers must program their vehicles to adhere to in a given setting.

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Rolufs, Angela, Amelia Trout, Kevin Palmer, Clark Boriack, Bryan Brilhart, and Annette Stumpf. Autonomous Transport Innovation (ATI) : integration of autonomous electric vehicles into a tactical microgrid. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42160.

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The objective of the Autonomous Transport Innovation (ATI) technical research program is to investigate current gaps and challenges then develop solutions to integrate emerging electric transport vehicles, vehicle autonomy, vehicle-to-grid (V2G) charging and microgrid technologies with military legacy equipment. The ATI research area objectives are to: identify unique military requirements for autonomous transportation technologies; identify currently available technologies that can be adopted for military applications and validate the suitability of these technologies to close need gaps; iden

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Moorehead, Stewart. Unsettled Topics in Obstacle Detection for Autonomous Agricultural Vehicles. SAE International, 2021. http://dx.doi.org/10.4271/epr2021029.

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Agricultural vehicles often drive along the same terrain day after day or year after year. Yet, they still must detect if a moveable object, such as another vehicle or an animal, happens to be on their path or if environmental conditions have caused muddy spots or washouts. Obstacle detection is one of the major missing pieces that can remove humans from highly automated agricultural machines today and enable the autonomous vehicles of the future. Unsettled Topics in Obstacle Detection for Autonomous Agricultural Vehicles examines the challenges of environmental object detection and collision

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Abdul Hamid, Umar Zakir. Responder-to-Vehicle Technologies for Connected and Autonomous Vehicles. SAE International, 2023. http://dx.doi.org/10.4271/epr2023010.

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<div class="section abstract"><div class="htmlview paragraph">Recently, there has been a slight increase in interest in the use of responder-to-vehicle (R2V) technology for emergency vehicles, such as ambulances, fire trucks, and police cars. R2V technology allows for the exchange of information between different types of responder vehicles, including connected and automated vehicles (CAVs). It can be used in collision avoidance or emergency situations involving CAV responder vehicles. The benefits of R2V are not limited to fully autonomous vehicles (e.g., SAE Level 4), but can als

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Yang, Shuhan. Backdoor attack in autonomous vehicles. Iowa State University, 2023. http://dx.doi.org/10.31274/cc-20240624-276.

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Wang, Shenlong, and David Forsyth. Safely Test Autonomous Vehicles with Augmented Reality. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-015.

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This work exploits augmented reality to safely train and validate autonomous vehicles’ performance in the real world under safety-critical scenarios. Toward this goal, we first develop algorithms that create virtual traffic participants with risky behaviors and seamlessly insert the virtual events into real images perceived from the physical world. The resulting composed images are photorealistic and physically grounded. The manipulated images are fed into the autonomous vehicle during testing, allowing the self-driving vehicle to react to such virtual events within either a photorealistic sim

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Moorehead, Stewart. Unsettled Issues Regarding the Commercialization of Autonomous Agricultural Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/epr2022003.

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Autonomous agricultural vehicles are entering the marketplace, performing jobs that current equipment cannot do or are too dangerous for humans to perform. They offer the prospect of greater farm productivity, and they will help to feed the world’s growing population. This report looks at several topics that impact the commercial success of autonomous agricultural vehicles. The economic benefit that an autonomous system brings to a farm will be discussed alongside machine utilization rates, job quality, and labor savings. The need for standards and regulations to help promote the development o

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Burton, Kathryn, and Devyani Gajjar. Autonomous transport. Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/hs60.

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Hover, Franz S. Maneuvering Performance of Autonomous Underwater Vehicles. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada446746.

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Ruff, Heath A., and Gloria L. Calhoun. Human Supervision of Multiple Autonomous Vehicles. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada606578.

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