13 citations · 24 across the 6 of their papers we have counts for
6 papers
A Hierarchical Multi-Vehicle Coordinated Motion Planning Method based on Interactive Spatio-Temporal Corridors
Xiang Zhang, Boyang Wang, Yaomin Lu +3
Multi-vehicle coordinated motion planning has always been challenged to safely and efficiently resolve conflicts under non-holonomic dynamic constraints. Constructing spatial-tempo…
Energy Management Strategy for Unmanned Tracked Vehicles Based on Local Speed Planning
Tianxing Sun, Shaohang Xu, Zirui Li +2
The hybrid electric system has good potential for unmanned tracked vehicles due to its excellent power and economy. Due to unmanned tracked vehicles have no traditional driving dev…
Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications
Boyang Wang, Jianwei Gong, Wenli Liang +1
How to integrate human factors into the motion planning system is of great significance for improving the acceptance of intelligent vehicles. Decomposing motion into primitives and…
Learning to Segment and Represent Motion Primitives from Driving Data for Motion Planning Applications
Boyang Wang, Jianwei Gong, Ruizeng Zhang +1
Developing an intelligent vehicle which can perform human-like actions requires the ability to learn basic driving skills from a large amount of naturalistic driving data. The algo…
Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications
Boyang Wang, Zirui Li, Jianwei Gong +3
Considering the driving habits which are learned from the naturalistic driving data in the path-tracking system can significantly improve the acceptance of intelligent vehicles. Th…
VPH+ and MPC Combined Collision Avoidance for Unmanned Ground Vehicle in Unknown Environment
Kai Liu, Jianwei Gong, Huiyan Chen
There are many situations for which an unmanned ground vehicle has to work with only partial observability of the environment. Therefore, a feasible nonholonomic obstacle avoidance…