Prediction-Aware and Reinforcement Learning-Based Altruistic Cooperative Driving
Autonomous vehicle (AV) navigation in the presence of Human-driven vehicles (HVs) is
challenging, as HVs continuously update their policies in response to AVs. In order to …
challenging, as HVs continuously update their policies in response to AVs. In order to …
Stochastic time-optimal trajectory planning for connected and automated vehicles in mixed-traffic merging scenarios
Addressing safe and efficient interaction between connected and automated vehicles
(CAVs) and human-driven vehicles in a mixed-traffic environment has attracted considerable …
(CAVs) and human-driven vehicles in a mixed-traffic environment has attracted considerable …
Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors
The development of autonomous vehicles has shown great potential to enhance the
efficiency and safety of transportation systems. However, the decision-making issue in …
efficiency and safety of transportation systems. However, the decision-making issue in …
Legible and proactive robot planning for prosocial human-robot interactions
J Geldenbott, K Leung - arXiv preprint arXiv:2404.03734, 2024 - arxiv.org
Humans have a remarkable ability to fluently engage in joint collision avoidance in crowded
navigation tasks despite the complexities and uncertainties inherent in human behavior …
navigation tasks despite the complexities and uncertainties inherent in human behavior …
[PDF][PDF] Active uncertainty learning for human-robot interaction: An implicit dual control approach
Predictive models are effective in reasoning about human motion, a crucial part that affects
safety and efficiency in human-robot interaction. However, robots often lack access to certain …
safety and efficiency in human-robot interaction. However, robots often lack access to certain …
Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic
It is expected that autonomous vehicles (AVs) and heterogeneous human-driven vehicles
(HVs) will coexist on the same road. The safety and reliability of AVs will depend on their …
(HVs) will coexist on the same road. The safety and reliability of AVs will depend on their …
How does autonomous vehicles affect taxi industry? A two-stage Van Damme based tripartite evolutionary game perspective
As urban passenger transportation focuses more on economic efficiency and road safety,
autonomous driving technology is being introduced in the taxi industry. Interests differ …
autonomous driving technology is being introduced in the taxi industry. Interests differ …
Hierarchical Learning with Heuristic Guidance for Multi-task Assignment and Distributed Planning in Interactive Scenarios
S Chen, M Wang, W Song - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
A unified framework for multi-agent task assignment and distributed trajectory planning that
can autonomously adapt to complex interactive environments and multi-task constraints has …
can autonomously adapt to complex interactive environments and multi-task constraints has …
Context‐aware target classification with hybrid Gaussian process prediction for cooperative vehicle safety systems
R Valiente, A Raftari, HN Mahjoub… - IET Intelligent …, 2023 - Wiley Online Library
Abstract Vehicle‐to‐Everything (V2X) communication has been proposed as a potential
solution to improve the robustness and safety of autonomous vehicles by improving …
solution to improve the robustness and safety of autonomous vehicles by improving …
[PDF][PDF] Optimal and adaptive controller design for motorway traffic with connected and automated vehicles
F Tajdari - 2023 - aaltodoc.aalto.fi
Connected vehicles control has brought the opportunity of using a higher level of Traffic
Management Center (TMC) to investigate the driving-related terms of congestion avoidance …
Management Center (TMC) to investigate the driving-related terms of congestion avoidance …