Driver Distraction Behavior Recognition for Autonomous Driving: Approaches, Datasets and Challenges
D Tan, W Tian, C Wang, L Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Driver distraction behavior recognition is currently a significant study area that involves
analyzing and identifying various movements, actions, and patterns exhibited by drivers …
analyzing and identifying various movements, actions, and patterns exhibited by drivers …
Evolving testing scenario generation and intelligence evaluation for automated vehicles
Y Ma, W Jiang, L Zhang, J Chen, H Wang, C Lv… - … Research Part C …, 2024 - Elsevier
Interaction between the background vehicles (BVs) and automated vehicles (AVs) in
scenario-based testing plays a critical role in evaluating the intelligence of the AVs. Current …
scenario-based testing plays a critical role in evaluating the intelligence of the AVs. Current …
CL-FDAPF trajectory planner and FO-LADRC motion controller for autonomous sweeper vehicle
D Zeng, Y Hu, T Ai, C Liang, Y Yu… - Proceedings of the …, 2024 - journals.sagepub.com
Aiming at keeping safe in time and addressing disturbance of uncertainty, an closed loop
forward simulation filtering double-layer artificial potential field (CL-FDAPF) trajectory …
forward simulation filtering double-layer artificial potential field (CL-FDAPF) trajectory …