基于视觉的飞行障碍探测,以避免空中碰撞:系统审查
Daniel Vera-Yanez1, António Pereira2,3, Nuno Rodrigues2
1Albacete Research Institute of Informatics, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.
Journal of imaging
|October 27, 2023
概括
本文审查了基于计算机视觉的飞行障碍物检测,以避免空中碰撞. 研究表明,由于无人机的可访问性和改进的计算能力,人们越来越感兴趣,但现实世界的测试仍然有限.
科学领域:
- 机器人和人工智能 机器人和人工智能
- 计算机视觉 计算机视觉
- 航空航天工程 航空航天工程
背景情况:
- 空中碰撞对航空安全构成重大风险,特别是随着无人机系统的扩散.
- 有效地检测飞行障碍物对于开发强大的避免碰撞系统至关重要.
- 计算机视觉为实时障碍物检测提供了一个有前途的传感器模式.
研究的目的:
- 系统地审查和分析关于基于计算机视觉的飞行障碍物检测的现有文献.
- 确定飞行器在空中避免碰撞领域的趋势,挑战和研究缺口.
- 了解促进这一领域研究增长的因素.
主要方法:
- 在主要的科学数据库 (Scopus,IEEE,ACM,MDPI,Web of Science) 进行了系统的文献搜索,涵盖到2022年的出版物.
- 选了647个出版物的初始池,其中85个被选择进行深入分析.
- 审查的重点是与基于计算机视觉的飞行障碍物检测和空中碰撞避免相关的文章.
主要成果:
- 观察到关于使用计算机视觉检测和跟踪飞行障碍物的出版物显著增加.
- 这种增长的假设驱动因素包括商用无人机的可用性和单板计算机和计算机视觉库的进步.
- 大多数审查的算法都在模拟环境中进行了评估,只有26%的人报告了对物理飞行器的测试.
结论:
- 未来的研究应该优先提高威胁检测算法的成功率.
- 需要在复杂的现实场景中更多地测试拟议的解决方案,使用物理平台.
- 解决这些差距对于实际实施有效的空中避免碰撞系统至关重要.
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