Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
February 8, 2026Journal of Air Transportation

Multi-UAV Coverage Path Planning for Autonomous Aircraft Inspection

View Full Paper
Ask AI
Bookmark
Share

Authors

HTHo Wang TongBLBoyang LiHHHailong Huang

Discussion

Loading...

Member takes

Overview

Demonstrates enhanced inspection quality through multi-UAV path planning using advanced algorithms.

Key Points

  • The aim is to improve autonomous aircraft inspection through multi-UAV path planning.
  • Applied parameterization-based planning to a multi-agent scenario.
  • Computed viewpoints using an algorithm for inspection quality enhancement.
  • Formulated a multi-objective multiple traveling salesmen problem.
  • Proposed a heuristic algorithm, Non-dominated Sorting Genetic Ant Colony Optimization.
  • Implemented a migration mechanism for optimal depot location.
  • NSGACO showed superior performance compared to traditional heuristic methods.
  • Software simulations indicated significant improvements in inspection quality.
  • Reconstruction model quality was markedly better than traditional approaches.

Cite This Study

Tong et al. (2026) studied this question.

synapsesocial.com/papers/698829520fc35cd7a884990dhttps://doi.org/10.2514/1.d0540
View Full Paper
Ask AI
Bookmark
Share