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pro vyhledávání: '"Woodman, Roger"'
General-purpose motion planners for automated/autonomous vehicles promise to handle the task of motion planning (including tactical decision-making and trajectory generation) for various automated driving functions (ADF) in a diverse range of operati
Externí odkaz:
http://arxiv.org/abs/2406.05708
Motion planning is an essential element of the modular architecture of autonomous vehicles, serving as a bridge between upstream perception modules and downstream low-level control signals. Traditional motion planners were initially designed for spec
Externí odkaz:
http://arxiv.org/abs/2406.05575
The deep neural network (DNN) models are widely used for object detection in automated driving systems (ADS). Yet, such models are prone to errors which can have serious safety implications. Introspection and self-assessment models that aim to detect
Externí odkaz:
http://arxiv.org/abs/2405.07600
Monitoring the integrity of object detection for errors within the perception module of automated driving systems (ADS) is paramount for ensuring safety. Despite recent advancements in deep neural network (DNN)-based object detectors, their susceptib
Externí odkaz:
http://arxiv.org/abs/2404.07685
Accurate velocity estimation of surrounding moving objects and their trajectories are critical elements of perception systems in Automated/Autonomous Vehicles (AVs) with a direct impact on their safety. These are non-trivial problems due to the diver
Externí odkaz:
http://arxiv.org/abs/2403.17779
Reliable detection of various objects and road users in the surrounding environment is crucial for the safe operation of automated driving systems (ADS). Despite recent progresses in developing highly accurate object detectors based on Deep Neural Ne
Externí odkaz:
http://arxiv.org/abs/2403.01172
Autor:
Sormoli, MReza Alipour, Samadi, Amir, Mozaffari, Sajjad, Koufos, Konstantinos, Dianati, Mehrdad, Woodman, Roger
Anticipating the motion of other road users is crucial for automated driving systems (ADS), as it enables safe and informed downstream decision-making and motion planning. Unfortunately, contemporary learning-based approaches for motion prediction ex
Externí odkaz:
http://arxiv.org/abs/2309.10948
Autor:
Widyanti, Ari, Erlangga, Redifa, Sutarto, Auditya Purwandini, Trapsilawati, Fitri, Ansori, Nachnul, Woodman, Roger, Pawitra, Theresia Amelia, Rifai, Achmad Pratama
Publikováno v:
In Transportation Research Interdisciplinary Perspectives March 2024 24
Publikováno v:
In Accident Analysis and Prevention April 2023 183
Autor:
Perello-March, Jaume, Burns, Christopher G., Woodman, Roger, Birrell, Stewart, Elliott, Mark T.
Publikováno v:
Human Factors; Sep2024, Vol. 66 Issue 9, p2244-2263, 20p