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无人机检测的LiDAR技术:从基本和操作原则到先进的检测和分类技术
Ulzhalgas Seidaliyeva1, Lyazzat Ilipbayeva2, Dana Utebayeva3
1Metropolitan College (MET), Boston University, Boston, MA 02215, USA.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
本综述探讨了用于检测无人驾驶飞行器 (UAV) 的光检测和射程 (LiDAR). 它涵盖了LiDAR原理,数据处理,以及其与其他传感器的融合,以提高无人机检测和安全性.
科学领域:
- 机器人和自动化机器人与自动化
- 传感器技术 传感器技术
- 人工智能的人工智能
背景情况:
- 无人驾驶飞行器 (UAV) 越来越多地用于各种行业,需要先进的检测方法.
- 光检测和测距 (LiDAR) 提供精确的3D空间数据,对于安全和空域监控至关重要.
- 准确的无人机检测对于安全和监管合规至关重要.
研究的目的:
- 系统地审查最近在基于LiDAR的无人机探测方面的创新.
- 详细介绍LiDAR传感器的原理,分类和数据处理技术.
- 为了比较仅使用LiDAR和传感器融合的无人机检测方法.
主要方法:
- 基于LiDAR的无人机检测技术的系统文献审查.
- 对LiDAR传感器原理,组件和扫描机制的分析.
- 在LiDAR数据中探索数据处理算法和深度学习应用.
主要成果:
- 由于其3D传感能力,LiDAR是无人机检测的关键技术.
- 激光雷达与其他传感器的融合有望提高检测准确度.
- 深度学习增强了对现实世界的应用 LiDAR 数据的分析.
结论:
- 激光雷达技术对于强大的无人机探测系统至关重要.
- 传感器融合策略,特别是深度学习,在无人机检测方面取得了重大进展.
- 应对传感器融合方面的挑战对于未来的发展至关重要.
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