使用旋转驱动的激光雷达实时绘制三维环境地图.
Baixin Tong1, Fangdi Jiang1, Bo Lu2
1School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了一种新的旋转LiDAR系统和LV-SLAM框架用于3D环境重建,显著提高精度并减少复杂环境中的错误.
科学领域:
- 机器人和计算机视觉 机器人和计算机视觉
- 3D环境重建 3D环境重建
- 同时定位和绘制 (SLAM)
背景情况:
- 传统的LiDAR系统面临视野限制,导致盲点和不完整的3D重建.
- 现有的SLAM方法在复杂的,GNSS被拒绝的环境中难以获得准确性和稳定性.
研究的目的:
- 开发一种新的3D环境重建方法,克服LiDAR视野限制.
- 通过使用多传感器融合框架,提高3D重建的准确性和稳定性.
- 为具有挑战性的环境提供高保真度的3D重建解决方案.
主要方法:
- 设计了一种旋转驱动的LiDAR机制,用于统一的全视场扫描.
- 开发了具有多线程特征注册的LiDAR-Visual SLAM (LV-SLAM) 框架.
- 实施了双相循环关闭检测机制,以提高准确性和稳定性.
主要成果:
- 在KITTI基准上,LV-SLAM将平均绝对轨迹误差 (ATE) 从6.90m降至2.48m.
- 实现了较低的相对位置误差 (RPE),表明增强了全局一致性和减少了漂移.
- 现实世界的测试显示了更完整的重建,更少的遮和几何精度在5厘米RMSE.
结论:
- 拟议的旋转LiDAR和LV-SLAM系统为高保真3D重建提供了强大而准确的解决方案.
- 该系统有效地克服了传统LiDAR设置固有的视野限制和盲点.
- 与最先进的方法相比,在基准和现实世界的评估中都表现出卓越的性能.
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