Search Results for author: Zongyuan Shen

Found 4 papers, 0 papers with code

MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments

no code implementations22 Apr 2021 Zongyuan Shen, James P. Wilson, Ryan Harvey, Shalabh Gupta

Specifically, the edge pruning procedure checks the collision status through the tree and only removes the invalid edges while maintaining the tree structure of already-explored regions.

Autonomous Vehicles

CT-CPP: Coverage Path Planning for 3D Terrain Reconstruction Using Dynamic Coverage Trees

no code implementations19 Oct 2020 Zongyuan Shen, Junnan Song, Khushboo Mittal, Shalabh Gupta

This letter addresses the 3D coverage path planning (CPP) problem for terrain reconstruction of unknown obstacle rich environments.

$ε^*$+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles

no code implementations29 Aug 2020 Zongyuan Shen, James P. Wilson, Shalabh Gupta

This paper presents a novel algorithm, called $\epsilon^*$+, for online coverage path planning of unknown environments using energy-constrained autonomous vehicles.

Autonomous Vehicles Navigate

T$^{\star}$-Lite: A Fast Time-Risk Optimal Motion Planning Algorithm for Multi-Speed Autonomous Vehicles

no code implementations29 Aug 2020 James P. Wilson, Zongyuan Shen, Shalabh Gupta, Thomas A. Wettergren

In this paper, we develop a new algorithm, called T$^{\star}$-Lite, that enables fast time-risk optimal motion planning for variable-speed autonomous vehicles.

Autonomous Vehicles Motion Planning +1

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