设计3D高清地图可视化器,用于动态环境中的姿势估计和自主导航
Yunchen Ge1, Marcelo Contreras1, Neel P Bhatt1
1Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.
Sensors (Basel, Switzerland)
|February 27, 2026
概括
本研究介绍了一种用于自主导航的高清 (HD) 地图框架,集成视觉和LiDAR数据,用于准确的状态估计和运动规划. 该系统确保可靠的传感器数据在动态环境中提供强大的性能.
科学领域:
- 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
- 自主系统 自主系统
背景情况:
- 自主导航依赖于准确的高清地图和可靠的传感器数据.
- 现有系统在动态环境和传感器退化方面面临挑战,特别是GNSS被拒绝的区域.
研究的目的:
- 开发和验证一个高清地图开发框架,为自主导航提供实时可视化.
- 通过使用多式联接感知数据来增强状态估计和运动规划.
- 通过传感器健康监测来确保数据可靠性.
主要方法:
- 集成同步的视觉和LiDAR数据用于高清地图生成.
- 开发一个语义意识的视觉测距 (VO) 模块,用于姿势估计.
- 实施传感器健康监测系统,以确保数据可靠性.
主要成果:
- 该框架成功地为动态环境生成准确和可解释的高清地图.
- 语义意识的VO模块实现可靠的姿势估计,即使在降低的感知条件下.
- 传感器健康监测系统在具有挑战性的城市场景中验证数据完整性.
结论:
- 拟议的高清地图可视化器和感知模块可用于自主导航.
- 该框架作为状态估计和运动规划算法的有效基准工具.
- 该系统在自动驾驶应用中展示了强度和可靠性.
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