Dec 1, 2023 · A comprehensive overview of driver behavioural models (DBM) in vehicle-vehicle interactions can be found in Ref. 15. Here, the focus will be on ...
Oct 29, 2023 · This is a challenging task, as it requires the autonomous vehicle to be able to understand and predict the behaviour of human road users. In ...
Jan 30, 2023 · Abstract: Complex, dynamic, and interactive environment brings huge challenges to autonomous driving technologies.
Interaction‐aware autonomous driving (IAAD) is a rapidly growing field of research that focuses on the development of autonomous vehicles (AVs) that are capable ...
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Sep 25, 2023 · In this paper, we consider a behavioral model that incorporates both social behaviors and personal objectives of the interacting drivers.
Apr 5, 2024 · Failure to consider interaction when making decisions may result in safety issues. In this paper, an interaction-aware decision-making approach ...
Decision-making is one of the key challenges blocking full autonomy of automated vehicles. In highway scenarios, automated vehicles are expected to be aware ...
Abstract: Predicting object motion behaviour is a challenging but crucial task for safe decision making and path planning for an autonomous vehicle.
Our research introduced a novel interaction-aware decision making framework for autonomous vehicles based on reinforcement learning, which integrates human ...
Sep 25, 2023 · In this paper, we consider a behavioral model that incorporates both social behaviors and personal objectives of the interacting drivers.
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