Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Meng, Dejian"'
In this study, we propose GITSR, an effective framework for Graph Interaction Transformer-based Scene Representation for multi-vehicle collaborative decision-making in intelligent transportation system. In the context of mixed traffic where Connected
Externí odkaz:
http://arxiv.org/abs/2411.01608
In mixed autonomy traffic environment, every decision made by an autonomous-driving car may have a great impact on the transportation system. Because of the complex interaction between vehicles, it is challenging to make decisions that can ensure bot
Externí odkaz:
http://arxiv.org/abs/2409.15105
To solve the problem of lateral and logitudinal joint decision-making of multi-vehicle cooperative driving for connected and automated vehicles (CAVs), this paper proposes a Monte Carlo tree search (MCTS) method with parallel update for multi-agent M
Externí odkaz:
http://arxiv.org/abs/2409.13783
For driving safely and efficiently in highway scenarios, autonomous vehicles (AVs) must be able to predict future behaviors of surrounding object vehicles (OVs), and assess collision risk accurately for reasonable decision-making. Aiming at autonomou
Externí odkaz:
http://arxiv.org/abs/2304.05610
Publikováno v:
In International Journal of Thermal Sciences September 2024 203
Publikováno v:
In Mechanical Systems and Signal Processing 1 February 2025 224
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 August 2024 428
Publikováno v:
In Mechanical Systems and Signal Processing 1 October 2023 200
Publikováno v:
In Mechanical Systems and Signal Processing 1 March 2023 186
Publikováno v:
In Mechanical Systems and Signal Processing 1 March 2023 186