Deep Imitation Learning for Autonomous Navigation in Dynamic Pedestrian Environments
Lei Qin,Zefan Huang,Chen Zhang,Hongliang Guo,Marcelo Ang,Daniela Rus,Lei Qin,Zefan Huang,Chen Zhang,Hongliang Guo,Marcelo Ang,Daniela Rus
Navigation through dynamic pedestrian environments in a socially compliant manner is still a challenging task for autonomous vehicles. Classical methods usually lead to unnatural vehicle behaviours for pedestrian navigation due to the difficulty in modeling social conventions mathematically. This paper presents an end-to-end path planning system that achieves autonomous navigation in dynamic envir...
