基于事件的视觉应用在自主无人飞行器上:对前景和挑战的系统审查
Ibrahim Akanbi1, Michael Ayomoh1
1Department of Industrial and Systems Engineering, University of Pretoria, Pretoria 0002, South Africa.
Sensors (Basel, Switzerland)
|January 10, 2026
概括
事件摄像头为无人机 (UAV) 提供了卓越的性能,因为它们的高动态范围和时间分辨率. 尽管延迟和稳定性具有优势,但标准化和数据集的挑战阻碍了广泛采用.
科学领域:
- 机器人和计算机视觉 机器人和计算机视觉
- 航空航天工程 航空航天工程
- 传感器技术 传感器技术
背景情况:
- 事件摄像头或动态视觉传感器正在成为无人机 (UAV) 的先进传感器.
- 它们提供高动态范围,微秒时间分辨率和运动扭曲强度,在特定场景中超越传统相机.
- 广泛采用受到现实世界的验证,模拟标准化,硬件集成和数据集可用性的挑战所限制.
研究的目的:
- 系统地审查事件摄像机与无人机的整合.
- 探索关键的主题领域,包括数据集,模拟工具,算法,应用程序和未来方向.
- 综合2015-2025年的同行评审文献.
主要方法:
- 使用Scopus和Web of Science数据库进行系统的文献审查.
- 对2015年至2025年间发表的文章进行分析.
- 在五个领域进行主题综合:数据集,模拟工具,算法范式,应用领域和未来方向.
主要成果:
- 事件摄像头在延迟,运动模糊和无人机控制的照明强度方面表现出比基于的系统更好的性能.
- 这些功能使得自主导航更具反应性和精度.
- 确定的主要挑战包括需要标准化评估指标,改进硬件集成和扩展注释数据集.
结论:
- 事件摄像头具有显著的潜力,可以增强无人机的能力,特别是在动态和具有挑战性的环境中.
- 解决标准化,硬件和数据方面的当前局限性对于它们可靠地集成到自主无人机系统至关重要.
- 需要进一步的研究和开发,才能充分实现事件摄像机技术在这个领域的好处.
关键词:
动态视觉传感器是一个动态视觉传感器.事件摄像机事件摄像机导航 导航 导航 导航 导航这是一个神经形态传感器.避免障碍 避免障碍 避免障碍路径规划路径规划路径规划无人驾驶飞行器 (UAV) 是一种无人驾驶飞行器.更多相关视频
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