Jinsheng Dou — accepted AI-conference papers

2024

HP3: Hierarchical Prediction-Pretrained Planning for Unprotected Left Turn

Zhihao Ou, Zhibo Wang, Yue Hua, Jinsheng Dou, Di Feng, Jian Pu

IROS 2024poster

Trajectory planning for unprotected left turns poses a significant challenge in autonomous driving. Reinforcement learning (RL) offers potential, but existing methods often rely on scenario-specific state representations, limiting their adaptability. This paper introduces Hierarchical Prediction-Pre…

Cited by 0 Source ↗Scholar ↗

2024

Mitigating Causal Confusion in Vector-Based Behavior Cloning for Safer Autonomous Planning

Jiayu Guo, Mingyue Feng, Pengfei Zhu, Jinsheng Dou, Di Feng, Chengjun Li +2

ICRA 2024poster

The utilization of vector-based deep learning techniques has great prospects in the realm of autonomous driving, particularly in the domains of prediction and planning tasks. However, the application of vector-based backbones for prediction and planning tasks may lead to the occurrence of causal con…

Cited by 1 Source ↗Scholar ↗