7 citations · 12 across the 3 of their papers we have counts for
5 papers
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
Jinyun Zhou, Rui Wang, Xu Liu +5
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 manipula…
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment
Yu Wang, Shu Jiang, Weiman Lin +5
This paper presents the design of a tune-free (human-out-of-the-loop parameter tuning) control framework, aiming at accelerating large scale autonomous driving system deployed on v…
DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling
Shu Jiang, Yu Wang, Longtao Lin +4
An accurate vehicle dynamic model is the key to bridge the gap between simulation and real road test in autonomous driving. In this paper, we present a Dynamic model-Residual corre…
DL-IAPS and PJSO: A Path/Speed Decoupled Trajectory Optimization and its Application in Autonomous Driving
Jinyun Zhou, Runxin He, Yu Wang +5
This paper presents a free space trajectory optimization algorithm of autonomous driving vehicle, which decouples the collision-free trajectory planning problem into a Dual-Loop It…
TDR-OBCA: A Reliable Planner for Autonomous Driving in Free-Space Environment
Runxin He, Jinyun Zhou, Shu Jiang +6
This paper presents an optimization-based collision avoidance trajectory generation method for autonomous driving in free-space environments, with enhanced robustness, driving comf…