Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning
Bikun Wang,Zhipeng Wang,Chenhao Zhu,Zhiqiang Zhang,Zhichen Wang,Penghong Lin,Jingchu Liu,Qian Zhang,Bikun Wang,Zhipeng Wang,Chenhao Zhu,Zhiqiang Zhang,Zhichen Wang,Penghong Lin,Jingchu Liu,Qian Zhang
Learning-based approaches have achieved remarkable performance in the domain of autonomous driving. Leveraging the impressive ability of neural networks and large amounts of human driving data, complex patterns and rules of driving behavior can be encoded as a model to benefit the autonomous driving system. Besides, an increasing number of data-driven works have been studied in the decision-making...
