[HTML][HTML] Online trajectory planning with reinforcement learning for pedestrian avoidance
Planning the optimal trajectory of emergency avoidance maneuvers for highly automated
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …
Online Trajectory Planning with Reinforcement Learning for Pedestrian Avoidance.
Á Fehér, S Aradi, T Bécsi - Electronics (2079-9292), 2022 - search.ebscohost.com
Planning the optimal trajectory of emergency avoidance maneuvers for highly automated
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …
[PDF][PDF] Online Trajectory Planning with Reinforcement Learning for Pedestrian Avoidance
Á Fehér, S Aradi, T Bécsi - Training, 2022 - academia.edu
Planning the optimal trajectory of emergency avoidance maneuvers for highly automated
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …
Online Trajectory Planning with Reinforcement Learning for Pedestrian Avoidance
Á Fehér, S Aradi, T Bécsi - Electronics, 2022 - search.proquest.com
Planning the optimal trajectory of emergency avoidance maneuvers for highly automated
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …
[PDF][PDF] Online Trajectory Planning with Reinforcement Learning for Pedestrian Avoidance
Á Fehér, S Aradi, T Bécsi - Training, 2022 - academia.edu
Planning the optimal trajectory of emergency avoidance maneuvers for highly automated
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …
vehicles is a complex task with many challenges. The algorithm needs to decrease accident …