对不平坦道路表面信息感知方法的审查 悬架预览控制控制方法
Yujie Shen1, Kai Jing1, Kecheng Sun1
1Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
本综述详细介绍了车辆悬架预览系统的路面检测方法. 它涵盖了数据集,检测技术和高度重建,以提高驾驶安全和舒适度.
科学领域:
- 汽车工程 汽车工程
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
背景情况:
- 准确的路面检测对于车辆安全和舒适至关重要.
- 由于信号延迟,传统的悬挂系统面临着实时控制的挑战.
- 悬架预览控制提供主动调整,但需要有效的道路感知.
研究的目的:
- 系统地审查悬挂预览系统的道路表面信息检测技术.
- 专注于识别坑洞和速度阻塞.
- 为提高检测准确性和控制效率提供技术参考.
主要方法:
- 总结公开可用的数据集,用于道路表面分析.
- 审查主流检测方法:传统的动态,2D图像处理,3D点云,机器/深度学习和多传感器融合.
- 总结使用LiDAR,立体视觉和多模式融合的高度重建技术.
主要成果:
- 基于适用的场景和评估指标的主流检测方法的比较.
- 强调高度信息 (坑洞深度,高速碰撞高度) 对于预览控制的重要性.
- 确定关键研究方向,包括稳定性,实时性能和降低标签成本.
结论:
- 该审查提供了全面的路面检测的全面概述,用于悬挂预览.
- 它强调了高度重建技术的重要性.
- 它旨在通过改进检测和控制来促进智能底盘系统的发展.
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