中国民航大学学报 ›› 2024, Vol. 42 ›› Issue (3): 49-54.

• 未来机场及智能装备 • 上一篇    下一篇

民机外表面上部自主视觉检查中的降维路径规划研究

  

  1. 1. 中国民航大学航空工程学院,天津 300300;2. 中国民航航空地面特种设备研究基地,天津 300300; 3. 民航智慧机场理论与系统重点实验室,天津 300300;4. 民航航空公司人工智能重点实验室,广州 510406
  • 收稿日期:2022-11-03 修回日期:2023-05-22 出版日期:2025-01-09 发布日期:2026-08-02

Reduced-dimensional path planning in autonomous visual inspection of upper surface of civil aircraft

  1. 1. College of Aeronautical Engineering, CAUC, Tianjin 300300, China; 2. Aviation Ground Special Equipment Research Base, CAAC, Tianjin 300300, China; 3. Key Laboratory of Smart Airport Theory and System, CAAC, Tianjin 300300, China; 4. Civil Aviation Key Laboratory of Artificial Intelligence for Civil Airline, CAAC, Guangzhou 510406, China
  • Received:2022-11-03 Revised:2023-05-22 Online:2025-01-09 Published:2026-08-02
  • Supported by:
    国家自然科学基金民航联合研究基金重点项目(U2033208)

摘要: 传统的民机外表面检查过程中,人工目视检查存在成本高、效率低、工作时间长等诸多不足,而带有机载视 觉系统的机器人可以安全、快速、准确地检查民机外表面。 本文提出一种用于民机外表面上部自主视觉检 查的三维覆盖路径规划方法。 通过对民机外表面上部进行初步点云获取,对机身、机翼区域切片,将三维点 云映射到平面,然后进行二维覆盖路径的规划及三维空间的路径复原,快速生成优化的三维全覆盖检查路 径。 结果表明,该方法可以缩短三维覆盖路径规划的时间,较大程度地降低民机外表面上部自主视觉检查 的成本,推动自动化检查民机表面技术的发展。

关键词: 自动检查, 路径规划, 全覆盖检查, 三维点云

Abstract: In the traditional process of inspecting the surface of civil aircraft, manual visual inspection has many shortcomings such as high cost, low efficiency and long working time. However, robots with onboard visual systems can inspect the surface of civil aircraft safely, quickly and accurately. This paper proposes a three-dimensional coverage path planning method for autonomous visual inspection of upper surface of civil aircraft. By initially capturing point cloud on the upper surface of civil aircraft, slicing the fuselage and wing area, mapping the three-dimensional point cloud onto a plane, and then planning a two-dimensional coverage path and restoring the three-dimensional space path, an optimized three-dimensional full coverage inspection path is quickly generated. The results indicate that this method can reduce the time for three-dimensional coverage path planning, and significantly reduce the cost of autonomous visual inspection of the upper surface

Key words: automatic inspection, path planning, full coverage inspection, three-dimensional point cloud

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