activity
20182021
most citedBaidu Apollo EM Motion Planner

239 citations · 385 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2021★ 37 cited

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…

cs.RO2021★ 90 cited

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…

cs.RO2020★ 4 cited

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…

cs.RO2020★ 7 cited

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…

cs.RO2020★ 4 cited

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…

cs.LG2019★ 4 cited

Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes

Jiacheng Pan, Hongyi Sun, Kecheng Xu +4

Accurately forecasting the future movements of surrounding vehicles is essential for safe and efficient operations of autonomous driving cars. This task is difficult because a vehi…

cs.RO2018★ 239 cited

Baidu Apollo EM Motion Planner

Haoyang Fan, Fan Zhu, Changchun Liu +7

In this manuscript, we introduce a real-time motion planning system based on the Baidu Apollo (open source) autonomous driving platform. The developed system aims to address the in…