Reasoning graph-based reinforcement learning to cooperate mixed connected and autonomous traffic at unsignalized intersections
Cooperation at unsignalized intersections in mixed traffic environments, where Connected
and Autonomous Vehicles (CAVs) and Manually Driving Vehicles (MVs) coexist, holds …
and Autonomous Vehicles (CAVs) and Manually Driving Vehicles (MVs) coexist, holds …
Group frenet frame CAV path planning on highways
Connected autonomous vehicle (CAV) systems could bring considerable benefits to our
daily lives, and possibly outperform single autonomous vehicle (AV). Nevertheless, the real …
daily lives, and possibly outperform single autonomous vehicle (AV). Nevertheless, the real …
Towards Developing Socially Compliant Automated Vehicles: State of the Art, Experts Expectations, and A Conceptual Framework
Automated Vehicles (AVs) hold promise for revolutionizing transportation by improving road
safety, traffic efficiency, and overall mobility. Despite the steady advancement in high-level …
safety, traffic efficiency, and overall mobility. Despite the steady advancement in high-level …
Graph structure-based implicit risk reasoning for Long-tail scenarios of automated driving
With the development of Artificial Intelligence (AI) technology, autonomous vehicles (AVs)
have entered the general public's view, however, the challenges brought by" long-tail" …
have entered the general public's view, however, the challenges brought by" long-tail" …
Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic Approach
High-density, unsignalized intersections have always been a bottleneck of efficiency and
safety. The emergence of Connected Autonomous Vehicles (CAVs) results in a mixed traffic …
safety. The emergence of Connected Autonomous Vehicles (CAVs) results in a mixed traffic …
社会性驾驶交互关键效用析取与应用
赵晓聪， 房世玉， 李子睿， 孙剑 - 汽车工程, 2024 - qichegongcheng.com
共享道路空间中的人类驾驶交互行为具有兼顾伴行车损益的社会性特征. 由于对驾驶交互社会性
的理解缺失, 自动驾驶车辆往往难以估计自身行为对伴行车辆的潜在影响, 因而陷入“被迫保守” …
的理解缺失, 自动驾驶车辆往往难以估计自身行为对伴行车辆的潜在影响, 因而陷入“被迫保守” …
An optimal trajectory planning for automated on‐ramp merging
J Liang, T Guan, D Liu, X Liu, Z Luan… - IET Intelligent …, 2023 - Wiley Online Library
This paper proposes an optimal trajectory planning model for automated on‐ramp merging.
The minimum cost path based on the optimal control theory is selected as the optimal …
The minimum cost path based on the optimal control theory is selected as the optimal …
Enhance SIL Simulation Through Driver Behaviour Modeling at Unprotected Left-Turn Scenario for Autonomous Driving SOTIF Analysis
As the rapid advancement of artificial intelligence (AI), information and communication
technologies, autonomous driving system (ADS) has increased permeation into the …
technologies, autonomous driving system (ADS) has increased permeation into the …