activity
20202026
most citedOptimal Vehicle Path Planning Using Quadratic Optimization for Baidu Apollo Open Platform

90 citations · 143 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

X-Mind: Efficient Visual Chain-of-Thought via Predictive World Model for End-to-End Driving

Bohao Zhao, Chengrui Wei, Guangfeng Jiang +17

Predicting future states is essential for autonomous agents, yet current Vision-Language-Action (VLA) models fundamentally lack this capability, relying instead on reactive percept…

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.RO2021★ 5 cited

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…

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…