4 papers
Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making
Rongliang Zhou, Jiakun Huang, Mingjun Li +3
A safe and efficient decision-making system is crucial for autonomous vehicles. However, the complexity of driving environments limits the effectiveness of many rule-based and mach…
A Delay Compensation Framework Based on Eye-Movement for Teleoperated Ground Vehicles
Qiang Zhang, Lingfang Yang, Zhi Huang +1
An eye-movement-based predicted trajectory guidance control (ePTGC) is proposed to mitigate the maneuverability degradation of a teleoperated ground vehicle caused by communication…
Predicted Trajectory Guidance Control Framework of Teleoperated Ground Vehicles Compensating for Delays
Qiang Zhang, Zhouli Xu, Yihang Wang +3
Maneuverability and drivability of the teleoperated ground vehicle could be seriously degraded by large communication delays if the delays are not properly compensated. This paper…
Visual Area of Interests based Multimodal Trajectory Prediction for Probabilistic Risk Assessment
Qiang Zhang, Lingfang Yang, Xiaoliang Zhang +2
Accurate and reliable prediction of driving intentions and future trajectories contributes to cooperation between human drivers and ADAS in complex traffic environments. This paper…