5 citations · 9 across the 8 of their papers we have counts for
8 papers
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…
GRAINS: Proximity Sensing of Objects in Granular Materials
Zeqing Zhang, Ruixing Jia, Youcan Yan +5
Proximity sensing detects an object's presence without contact. However, research has rarely explored proximity sensing in granular materials (GM) due to GM's lack of visual and co…
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Qianru Zhang, Chao Huang, Lianghao Xia +3
Spatial-temporal graph learning has emerged as a promising solution for modeling structured spatial-temporal data and learning region representations for various urban sensing task…
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…
A Generalized Continuous Collision Detection Framework of Polynomial Trajectory for Mobile Robots in Cluttered Environments
Zeqing Zhang, Yinqiang Zhang, Ruihua Han +2
In this paper, we introduce a generalized continuous collision detection (CCD) framework for the mobile robot along the polynomial trajectory in cluttered environments including va…
Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards
Ruihua Han, Shengduo Chen, Shuaijun Wang +4
The challenges to solving the collision avoidance problem lie in adaptively choosing optimal robot velocities in complex scenarios full of interactive obstacles. In this paper, we…
Adaptive Environment Modeling Based Reinforcement Learning for Collision Avoidance in Complex Scenes
Shuaijun Wang, Rui Gao, Ruihua Han +3
The major challenges of collision avoidance for robot navigation in crowded scenes lie in accurate environment modeling, fast perceptions, and trustworthy motion planning policies.…
Robotic Wireless Energy Transfer in Dynamic Environments: System Design and Experimental Validation
Shuai Wang, Ruihua Han, Yuncong Hong +5
Wireless energy transfer (WET) is a ground-breaking technology for cutting the last wire between mobile sensors and power grids in smart cities. Yet, WET only offers effective tran…