Fine-Grained Driving Behavior Prediction via Context-Aware Multi-Task Inverse Reinforcement Learning
Kentaro Nishi,Masamichi Shimosaka,Kentaro Nishi,Masamichi Shimosaka
Research on advanced driver assistance systems for reducing risks to vulnerable road users (VRUs) has recently gained popularity because the traffic accident reduction rate for VRUs is still small. Dealing with unexpected VRU movements on residential roads requires proficient acceleration and deceleration. Although fine-grained prediction of driving behavior through inverse reinforcement learning ...
