15 citations · 17 across the 3 of their papers we have counts for
7 papers
End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences
Zhijian Qiao, Huanshu Wei, Zhe Liu +2
3D Point cloud registration is still a very challenging topic due to the difficulty in finding the rigid transformation between two point clouds with partial correspondences, and i…
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
Binyu Wang, Zhe Liu, Qingbiao Li +1
Path planning for mobile robots in large dynamic environments is a challenging problem, as the robots are required to efficiently reach their given goals while simultaneously avoid…
Modelling and Dynamic Tracking Control of Industrial Vehicles with Tractor-trailer Structure
Hongchao Zhao, Zhe Liu, Zhiqiang Li +4
Existing works on control of tractor-trailers systems only consider the kinematics model without taking dynamics into account. Also, most of them treat the issue as a pure control…
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
Hanjiang Hu, Hesheng Wang, Zhe Liu +3
Visual localization is a crucial problem in mobile robotics and autonomous driving. One solution is to retrieve images with known pose from a database for the localization of query…
Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications
Zhe Liu, Hesheng Wang, Shunbo Zhou +2
In this paper, we focus on the problem of task allocation, cooperative path planning and motion coordination of the large-scale system with thousands of robots, aiming for practica…
SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles
Zhe Liu, Chuanzhe Suo, Shunbo Zhou +4
Place recognition and loop-closure detection are main challenges in the localization, mapping and navigation tasks of self-driving vehicles. In this paper, we solve the loop-closur…