Recent advances in reinforcement learning-based autonomous driving behavior planning: A survey
Autonomous driving (AD) holds the potential to revolutionize transportation efficiency, but its
success hinges on robust behavior planning (BP) mechanisms. Reinforcement learning (RL) …
success hinges on robust behavior planning (BP) mechanisms. Reinforcement learning (RL) …
Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions
The growing number of cars on city roads has led to an increase in traffic accidents,
highlighting the need for traffic safety measures. Mobile trajectory anomaly detection is an …
highlighting the need for traffic safety measures. Mobile trajectory anomaly detection is an …
A Coalitional Autonomous Guiding Model Considering Traffic and Non-traffic Participants
X Liu, H Du, F Ji - 2023 9th International Conference on Big …, 2023 - ieeexplore.ieee.org
In the field of autonomous driving, there is a lot of work focused on how to more accurately
predict the trajectory of traffic participants and make reasonable and safe decisions based …
predict the trajectory of traffic participants and make reasonable and safe decisions based …