一种纯电动无人驾驶爬行式建筑机械步行方法,基于融合SLAM和改进的纯追求算法
Jiangdong Wu1,2, Haoling Ren1,2, Tianliang Lin1,2
1College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
本研究介绍了一种新的融合SLAM算法,用于在具有挑战性的环境中精确定位无人驾驶建筑机械. 改进的算法确保了自动爬行车的强大的运动控制和轨迹跟踪.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 自主系统 自主系统
- 建筑工程工程 建筑工程
背景情况:
- 建筑机械在恶劣的环境中运行,对操作人员构成风险.
- 现有的GPS系统在这些复杂的环境中难以准确.
- 无人驾驶技术为建筑安全,降低成本和提高效率提供了解决方案.
研究的目的:
- 解决软弱的GPS信号和建筑机械的不准确定位问题.
- 为无人驾驶爬行式建筑机械开发强大的运动控制系统.
- 为了实现精确的实时定位和轨迹跟踪,实现自主操作.
主要方法:
- 实现了基于改进的NDT的融合SLAM算法,用于场景重建和定位.
- 调整和改进纯追踪算法,以考虑爬行机械运动特征.
- 进行模拟和真实车辆测试以验证拟议的算法.
主要成果:
- 融合SLAM算法通过重建环境实现了准确的实时定位.
- 改进的纯追求算法与融合SLAM相结合,证明了有效的运动控制.
- 该系统在测试中成功完成了轨迹跟踪,并具有高可靠性.
结论:
- 开发的算法为无人驾驶爬行式建筑机械的定位和控制提供了可靠的解决方案.
- 这项研究为未来自动化建筑设备的进步奠定了基础框架.
- 这些发现为提高建筑行业的安全性和效率铺平了道路.
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