YOLO-LaserGalvo:用于高精度接火定位的视觉激光射程系统
Jiajun Li1, Tianlun Wang2, Wei Wei1
1Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
一个新的YOLO-LaserGalvo (YLGS) 系统使用AI和激光精确地定位接火尖端. 这种无标记方法在复杂的照明条件下提高了工业自动化准确性和稳定性.
科学领域:
- 机器人和自动化 机器人和自动化
- 计算机视觉 计算机视觉
- 传感器融合式传感器
背景情况:
- 接火尖端的精确定位对于工业自动化至关重要.
- 现有的方法经常与复杂的照明作斗争,需要人工标记.
研究的目的:
- 引入一种新的闭环视觉定位系统 (YOLO-LaserGalvo),用于准确地定位接火尖端.
- 在具有挑战性的条件下,与传统方法相比,评估其性能.
主要方法:
- 集成单眼相机,红外激光距离传感器与仪扫描仪,以及定制YOLOv11深度学习模型.
- 通过将基于视觉的检测与激光测距相结合,实时3D位置计算.
- 无标记的方法消除了对结构化照明或人工标记的需求.
主要成果:
- 与彩色标记器和ArUco基线相比,YOLO-LaserGalvo系统表现出优越的稳定性和准确性.
- 在复杂的照明场景中实现高精度的火定位.
- 在精度,稳定性和处理速度方面超过了传统方法.
结论:
- 拟议的YOLO-LaserGalvo系统提供了一个无标记,高精度的解决方案,用于工业自动化中的接火尖端定位.
- 它在准确性,稳定性和速度方面比现有技术提供了显著的优势.
- 未来改进的潜力包括6-DOF姿势估计和多传感器集成.
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