在自动驾驶场景中,信息系统模型和高清地图的关键技术
Zhiqi Qian1, Zhirui Ye1, Xiaomeng Shi1
1School of Transportation, Southeast University, 35 Jinxianghe Road, Nanjing 210018, China.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
本研究引入了一个四层高清地图模型,以提高自动驾驶数据质量. 该模型增强了数据相关性,有助于感知,定位和控制更安全,更有效的自动驾驶汽车.
科学领域:
- 自主驾驶系统 自主驾驶系统
- 地缘空间信息系统 (Geospatial Information Systems) 是一个地理空间信息系统.
- 智能运输系统 智能运输系统
背景情况:
- 高清地图对于L4/L5自动驾驶至关重要,为感知,定位和控制提供必要的数据.
- 目前的高清地图存在大量数据,冗余和弱相关性,阻碍了自动驾驶性能.
- 优化地图数据质量和相关性对于安全高效的自动驾驶汽车运行至关重要.
研究的目的:
- 提出一个全面而准确的高清地图信息系统模型.
- 在系统模型的数据逻辑结构中详细说明每个组件的内容和功能.
主要方法:
- 利用建模和文献研究方法研究自动驾驶的高清地图信息系统.
- 探索了这些系统的关键支持技术.
主要成果:
- 引入了一个四层集成高清地图信息系统模型.
- 详细介绍了地图,道路,车辆和用户组件的内容和功能.
- 解释了综合信息如何支持自动驾驶汽车的感知,定位,决策和控制.
- 讨论了路线规划,导航和车辆控制的关键技术.
结论:
- 拟议的四层综合模型证明了高清地图的实际可行性.
- 为标准化地图制作,信息交互和自动驾驶中的数据关联提供了一个参考.
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