122 citations · 290 across the 11 of their papers we have counts for
8 papers · 1 filter
Optimal Trajectory Generation for Autonomous Vehicles Under Centripetal Acceleration Constraints for In-lane Driving Scenarios
Yajia Zhang, Hongyi Sun, Jinyun Zhou +2
This paper presents a noval method that generates optimal trajectories for autonomous vehicles for in-lane driving scenarios. The method computes a trajectory using a two-phase opt…
Optimal Vehicle Path Planning Using Quadratic Optimization for Baidu Apollo Open Platform
Yajia Zhang, Hongyi Sun, Jinyun Zhou +3
Path planning is a key component in motion planning for autonomous vehicles. A path specifies the geometrical shape that the vehicle will travel, thus, it is critical to safe and c…
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…
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…