Marden-Based Homotopic Enclosed Safe Motion Corridor Generation for UAV Navigation in Complex Environments

  • Chen Li
  • , Xuelei Qi
  • , Bao Chen
  • , Shoudong Huang
  • , Jaime Valls Miro
  • , Hailong Huang
  • , Wei Ni
  • , Hongjun Ma

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

This paper proposes a novel hierarchical methodology to planning safe UAV trajectories in complex environments. We start by improving a canonical hybrid A* in relation to high memory requirements, performance degradation, and the low efficiency customarily observed in the initial global trajectory suggested by the planner. Then, the Marden theorem is applied - for the first time in local path planning - to generate continuous, non-intersecting, enclosed, and safe flight corridors, termed homotopic enclosed safe motion corridors (HESMCs) hereafter. This is efficiently realized through a series of unique ellipsoids along the initial route. Meanwhile, the optimized motion trajectory along the corridors is built by considering two waypoints and prescribed performance functions. The resolved path is safe and complete, with a comprehensive Lyapunov stability analysis included to ensure accurate and efficient trajectory tracking. The simulation and physical tests demonstrate the superiority of our proposed planner over existing state-of-the-art methods, with consistent and significant improvements in processing time and guaranteed completeness.

Original languageEnglish
Pages (from-to)17486-17500
Number of pages15
JournalIEEE Transactions on Automation Science and Engineering
Volume22
DOIs
Publication statusPublished - Nov 2024

Keywords

  • collision avoidance
  • hybrid A global planning
  • local navigation
  • Marden theorem
  • UAV

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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