实时机器人拓定位和映射,在模拟埋藏管道网络中进行有限的视觉采样
Xiangyu S Li1, T L Nguyen1, Anthony G Cohn1,2,3,4
1School of Computing, University of Leeds, Leeds, United Kingdom.
Frontiers in robotics and AI
|December 11, 2023
概括
本研究介绍了一个实时机器人系统,用于绘制埋藏的管道网络. 它使用非视觉和主动视觉方法来有效地定位和绘制地图,在模拟中证明是可行的.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 地理空间工程是什么?
- 计算机视觉 计算机视觉
背景情况:
- 绘制地下公用事业的地图,如管道网络,对于基础设施管理至关重要.
- 现有的方法经常在实时性能和计算效率方面扎.
- 机器人系统为自主探索和绘制地图提供了一个潜在的解决方案.
研究的目的:
- 为埋藏管道网络开发实时机器人定位和映射系统.
- 为了提高管道网络映射的准确性和效率.
- 为了减少机器人绘图系统的计算要求.
主要方法:
- 将非视觉探索和导航与主动视觉定位相结合.
- 在关键的拓位置 (例如交叉点) 选择性激活本地化和映射算法.
- 使用非视觉传感器来检测交叉点,以最大限度地减少视觉数据的采集.
主要成果:
- 通过模拟证明了拟议系统的可行性.
- 在减少计算负载的情况下实现实时性能.
- 提供了虚拟管道网络的准确和高效映射.
结论:
- 开发的系统为实时定位和绘制埋藏管道网络提供了实用和高效的解决方案.
- 混合方法 (非视觉和主动视觉) 有效地应对地下环境中的挑战.
- 模拟证实了该系统在自主基础设施绘图方面的潜力.
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