Jinyun Zhou — accepted AI-conference papers

2021

Autonomous Driving Trajectory Optimization With Dual-Loop Iterative Anchoring Path Smoothing and Piecewise-Jerk Speed Optimization

Jinyun Zhou, Runxin He, Yu Wang, Shu Jiang, Zhenguang Zhu, Jiangtao Hu +2

RA-L 2021

This letter presents a free space trajectory optimization algorithm for autonomous driving, which decouples the collision-free trajectory generation problem into a Dual-Loop Iterative Anchoring Path Smoothing (DL-IAPS) problem and a Piecewise-Jerk Speed Optimization (PJSO) problem. The work leads to

Cited by 66 Source ↗Scholar ↗

2021

Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization

Jinyun Zhou, Rui Wang, Xu Liu, Yifei Jiang, Shu Jiang, Jiaming Tao +2

IROS 2021poster

We present a learning-based planner that aims to robustly drive a vehicle by mimicking human drivers’ driving behavior. We leverage a mid-to-mid approach that allows us to manipulate the input to our imitation learning network freely. With that in mind, we propose a novel feedback synthesizer for da…

Cited by 42 Source ↗Scholar ↗