1 citations · 1 across the 2 of their papers we have counts for
4 papers
STD-Trees: Spatio-temporal Deformable Trees for Multirotors Kinodynamic Planning
Hongkai Ye, Chao Xu, Fei Gao
In constrained solution spaces with a huge number of homotopy classes, stand-alone sampling-based kinodynamic planners suffer low efficiency in convergence. Local optimization is i…
Integrating Fast Regional Optimization into Sampling-based Kinodynamic Planning for Multirotor Flight
Hongkai Ye, Tianyu Liu, Chao Xu +1
For real-time multirotor kinodynamic motion planning, the efficiency of sampling-based methods is usually hindered by difficult-to-sample homotopy classes like narrow passages. In…
Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments
Lizi Wang, Hongkai Ye, Qianhao Wang +3
In autonomous navigation of mobile robots, sensors suffer from massive occlusion in cluttered environments, leaving significant amount of space unknown during planning. In practice…
TGK-Planner: An Efficient Topology Guided Kinodynamic Planner for Autonomous Quadrotors
Hongkai Ye, Xin Zhou, Zhepei Wang +3
In this paper, we propose a lightweight yet effective Topology Guided Kinodynamic planner (TGK-Planner) for quadrotor aggressive flights with limited onboard computing resources. T…