自主无人机降落和避免碰撞系统用于未知的地形使用深度摄像机与主动执行吉姆巴尔
Piotr Łuczak1, Grzegorz Granosik1
1Institute of Automatic Control, Lodz University of Technology, 90-537 Lodz, Poland.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
本研究介绍了一种先进的无人驾驶飞行器 (UAV) 自主着陆系统,该系统使用金巴上的RGB-D摄像头. 该系统增强了障碍物检测和避免,以实现更安全的低空飞行.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 计算机视觉用于自主系统
- 航空航天工程 航空航天工程
背景情况:
- 自主降落对于无人机 (UAV) 来说至关重要.
- 现有的方法 (激光雷达,摄像头,信标) 有局限性,例如受限感知或预定义的着陆区.
- RGB-D传感器提供结合的视觉和深度数据,但通常具有有限的视野.
研究的目的:
- 为无人机开发一种新的自主着陆系统.
- 克服当前着陆策略的局限性,特别是视野和障碍物感知.
- 为了实现安全,障碍意识的低空飞行和降落.
主要方法:
- 使用RGB-D摄像头安装在主动控制的吉姆巴上,以增强视野.
- 实施了联合无人机和吉姆巴尔运动策略,用于障碍物检测和回避.
- 将系统与PX4飞行堆,CubeOrange飞行控制器和Jetson纳米机载计算机集成.
主要成果:
- 在真实车辆上进行了成功的静态测试.
- 通过模拟和静态测试验证了系统架构的正确性.
- 展示了自动着陆系统在现实世界中部署的潜力.
结论:
- 拟议的杆驱动的RGB-D摄像头系统有效地扩大了自动着陆的视野.
- 联合运动策略使得在低空飞行过程中能够有效地检测和避开静态障碍物.
- 系统架构得到了验证,表明可用于实际无人机应用的可行性.
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