Autonomous Driving Cars : Decision-Making
, 2021 This study is an overview of autonomous cars and also the challenges faced in the field of autonomous cars. Recent advances are being made in the field of planning, perception, and decision-making for autonomous vehicles.
Ramanathan, Prabhu K.,
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Fuel Efficient High-Density Platooning Using Future Conditions Prediction
IEEE Open Journal of Intelligent Transportation Systems, 2022 A promising application of cooperative driving is high-density platooning, which main goal is to reduce fuel consumption by driving with inter-vehicle distances below ten meters.
Guillaume Jornod +4 more
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Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks
IEEE Access, 2022 This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks within the computer vision research area. We study the impact that different hyperparemeter configurations on an encoder-decoder visual attention architecture ...
Roberto Castro +3 more
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A Formal and Quantifiable Log Analysis Framework for Test Driving of Autonomous Vehicles
Sensors, 2020 We propose a log analysis framework for test driving of autonomous vehicles. The log of a vehicle is a fundamental source to detect and analyze events during driving.
Kyungbok Sung +3 more
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Impact of Human-Centered Vestibular System Model for Motion Control in a Driving Simulator [PDF]
, 2021 This study presents a driving simulator experiment to evaluate three different motion cueing algorithms based on model predictive control. The difference among these motion strategies lies in the type of mathematical model used.
CHARDONNET, Jean-Rémy +3 more
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Lane Transformer: A High-Efficiency Trajectory Prediction Model
IEEE Open Journal of Intelligent Transportation Systems, 2023 Trajectory prediction is a crucial step in the pipeline for autonomous driving because it not only improves the planning of future routes, but also ensures vehicle safety.
Zhibo Wang +5 more
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Review of Autonomous Intelligent Vehicles for Urban Driving and Parking
, 2021 With the concept of Internet-of-Things, autonomous vehicles can provide higher driving efficiency, traffic safety, and freedom for the driver to perform other tasks.
Cheng Siong Chin, Teck Kai Chan
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Comparing techniques to reduce simulator adaptation syndrome and improve naturalistic behaviour during simulated driving [PDF]
, 2009 Electrical stimulation of the vestibular sensory system during virtual environment simulations reduces the incidence of simulator adaptation syndrome (SAS).
Reed-Jones, William J +15 more
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Quantifying automated vehicle benefits in reducing driving stress: a simulation experiment approach
Frontiers in Future Transportation, 2023 Driving is a stressful activity because of the mental workload required to maneuver a vehicle in certain travel contexts, such as congested traffic, multi-modal networks requiring complex interaction with surrounding vehicles, and aggressive driving ...
Zulqarnain H. Khattak, Zhenhong Lin
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Driving Cars by Means of Genetic Algorithms [PDF]
, 2008 Proceedings of: 10th International Conference on Parallel Problem Solving From Nature, PPSN 2008. Dortmund, Germany, September 13-17, 2008The techniques and the technologies supporting Automatic Vehicle Guidance are an important issue.
Sáez, Yago +6 more
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