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农业机器人现场测试移动地面真实3D检测环境
Daniel Barrelmeyer1,2, Stefan Stiene1, Jannik Jose1
1Faculty of Engineering and Computer Science, University of Applied Sciences Osnabrück, 49076 Osnabrück, Germany.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
我们开发了一个移动传感器网络,用于测试自主农业机器人. 该系统在现实现场条件下提供高保真地面真相,使机器人安全性和性能验证更好.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 农业工程 农业工程
- 传感器网络 传感器网络
背景情况:
- 自主农业机器人需要现实的测试环境来验证安全性和性能.
- 目前的系统缺乏移动性,多对象跟踪和多DOF检测在非结构化的领域.
研究的目的:
- 介绍一个新的移动传感器站网络,用于高保真地面真相生成.
- 克服现有的固定或受约束测试基础设施的局限性.
主要方法:
- 一个拥有3D-LiDAR,双天线GNSS和边缘计算机的自动供电站网络.
- 通过GNSS时间和刚性LiDAR-to-LiDAR校准进行同步,以生成融合点云.
- 以高达20 Hz的频率采集数据,以实现环境的连贯几何表示.
主要成果:
- 在26,000平方米的土地上,成功地进行了自主机器人的实地实验,速度高达20公里/小时.
- 连续和一致的机器人检测,包括在现场边界.
- 证明了系统对全面地缘围和环境感知评估的能力.
结论:
- 开发的移动传感器网络使农业机器人系统的现实和全面验证成为可能.
- 这种基础设施有助于自主农业技术的安全性和性能基准测试.
- 为农业机器人技术中先进的测试方法铺平了道路.
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