7 papers · 1 filter
Self-Evolutionary Replanning for Failure-Aware Motion Planning
Guoliang Li, Ruihua Han, Chengyang Li +5
Motion planners tuned under nominal conditions can fail when execution conditions change. Existing differentiable adaptation methods provide efficient online updates but remain con…
LLM-Driven Scenario-Aware Planning for Autonomous Driving
He Li, Zhaowei Chen, Rui Gao +4
Hybrid planner switching framework (HPSF) for autonomous driving needs to reconcile high-speed driving efficiency with safe maneuvering in dense traffic. Existing HPSF methods ofte…
Communication Efficient Robotic Mixed Reality with Gaussian Splatting Cross-Layer Optimization
Chenxuan Liu, He Li, Zongze Li +5
Realizing low-cost communication in robotic mixed reality (RoboMR) systems presents a challenge, due to the necessity of uploading high-resolution images through wireless channels.…
Green Robotic Mixed Reality with Gaussian Splatting
Chenxuan Liu, He Li, Zongze Li +5
Realizing green communication in robotic mixed reality (RoboMR) systems presents a challenge, due to the necessity of uploading high-resolution images at high frequencies through w…
Multi-Uncertainty Aware Autonomous Cooperative Planning
Shiyao Zhang, He Li, Shengyu Zhang +3
Autonomous cooperative planning (ACP) is a promising technique to improve the efficiency and safety of multi-vehicle interactions for future intelligent transportation systems. How…
Seamless Virtual Reality with Integrated Synchronizer and Synthesizer for Autonomous Driving
He Li, Ruihua Han, Zirui Zhao +4
Virtual reality (VR) is a promising data engine for autonomous driving (AD). However, data fidelity in this paradigm is often degraded by VR inconsistency, for which the existing V…
iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning
Lexiong Huang, Ruihua Han, Guoliang Li +4
Autonomous parking (AP) is an emering technique to navigate an intelligent vehicle to a parking space without any human intervention. Existing AP methods based on mathematical opti…