most citedA Rapid Iterative Trajectory Planning Method for Automated Parking through Differential Flatness

6 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Enhancing Physical Consistency in Lightweight World Models

Dingrui Wang, Zhexiao Sun, Zhouheng Li +8

A major challenge in deploying world models is the trade-off between size and performance. Large world models can capture rich physical dynamics but require massive computing resou…

cs.RO20256 cited

A Rapid Iterative Trajectory Planning Method for Automated Parking through Differential Flatness

Zhouheng Li, Lei Xie, Cheng Hu +1

As autonomous driving continues to advance, automated parking is becoming increasingly essential. However, significant challenges arise when implementing path velocity decompositio…

cs.RO2025

A Learning-based Planning and Control Framework for Inertia Drift Vehicles

Bei Zhou, Zhouheng Li, Lei Xie +2

Inertia drift is a transitional maneuver between two sustained drift stages in opposite directions, which provides valuable insights for navigating consecutive sharp corners for au…

cs.RO20251 cited

Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles

Bei Zhou, Cheng Hu, Jun Zeng +4

Drift vehicle control offers valuable insights to support safe autonomous driving in extreme conditions, which hinges on tracking a particular path while maintaining the vehicle st…

cs.RO2025

Reduce Lap Time for Autonomous Racing with Curvature-Integrated MPCC Local Trajectory Planning Method

Zhouheng Li, Lei Xie, Cheng Hu +1

The widespread application of autonomous driving technology has significantly advanced the field of autonomous racing. Model Predictive Contouring Control (MPCC) is a highly effect…