122 citations · 290 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo Platform
Kecheng Xu, Xiangquan Xiao, Jinghao Miao +1
Autonomous Driving vehicles (ADV) are on road with large scales. For safe and efficient operations, ADVs must be able to predict the future states and iterative with road entities…
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
Yuliang Guo, Guang Chen, Peitao Zhao +4
We present a generalized and scalable method, called Gen-LaneNet, to detect 3D lanes from a single image. The method, inspired by the latest state-of-the-art 3D-LaneNet, is a unifi…