在现实世界中使用移动LiDAR传感技术的路面标记检测能力的纵向退化
Byoung-Keon D Park1, James R Sayer1, André D Clover2
1University of Michigan Transportation Research Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
这项研究在三年内使用光探测和测距 (LiDAR) 评估了四种路面标记材料. 聚氨酸和冷塑料对自动驾驶汽车的长期检测性更好.
科学领域:
- 道路交通安全问题 道路安全问题
- 自动驾驶汽车技术自动驾驶汽车技术
- 材料科学 是一种材料科学.
背景情况:
- 车辆自动化的进步需要可靠的路面标记检测.
- 光探测和距离测定 (LiDAR) 越来越多地用于自动驾驶系统.
- 在各种条件下路面标记性能需要彻底评估.
研究的目的:
- 使用LiDAR评估不同路面标记材料的性能和降解.
- 在三年内量化四种特定材料 (HPS-8,聚尿素,冷塑料,可喷热塑料) 的检测能力.
- 根据LiDAR数据提出一种新的指标来量化基于LiDAR数据的标记检测能力.
主要方法:
- 利用低成本的移动多束激光雷达来收集反射率数据.
- 分析了3年来210个路口的数据,这些路口位于一条有限通道上的高速公路.
- 使用LiDAR强度数据开发了一个新的检测度得分.
主要成果:
- 在研究期间,路面标记的检测能力在材料类型之间有显著差异.
- 对每个材料的检测性能降解量化.
- 与HPS-8和喷热塑性塑料相比,聚尿素和冷塑料的长期检测能力更高.
结论:
- 材料选择对于维持基于LiDAR系统的长期标记可检测性至关重要.
- 这些发现为选择耐用路面标记材料提供了指导.
- 可以制定明智的维护计划,以确保自动驾驶汽车传感器性能的一致性.
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