首页|基于高精度地图的自动驾驶地图引擎模型

基于高精度地图的自动驾驶地图引擎模型

扫码查看
随着智能网联汽车产业的不断发展,汽车自动化程度不断提高,技术复杂也持续提升,传统的导航电子地图作为汽车应用中一种重要的数据,现阶段已经不能满足高级别自动驾驶系统对地图的需求,在行业的不断探索中,具备更高的丰富度与精准性的高精度地图应运而生.通过对传统导航电子地图与高精度地图对比,分析出相对传统导航地图引擎,自动驾驶地图引擎需具备的功能,提出一种基于高精度地图的自动驾驶地图引擎模型.自动驾驶地图引擎可为自动驾驶的感知融合、决策、控制等模块提供局部路径规划、融合定位、地图查询等功能,并可扩展基于车辆数据的高精度地图快速变化检测功能,支持高精度地图快速更新.同时数据传输采用基于保密技术处理与商用密码的安全传输方式,有效保障地理信息安全.
An automatic driving map engine model based on high definition map
With the continuous development of the intelligent connected vehicle industry, the degree of automotive automation and technical complexity continue to improve. As important data in automotive applications, conventional navigation electronic maps can no longer meet the needs of high-level automatic driving systems for maps at this stage. Due to the continuous exploration of the industry, high definition maps with higher richness and accuracy have emerged. By comparing the conventional navigation electronic map with the high definition map, this paper analyzed the functions of the automatic driving map engine compared with the conventional navigation map engine and proposed an automatic driving map engine model based on the high definition map. The automatic driving map engine can provide local path planning, fusion positioning, map query, and other functions for the perception fusion, decision-making, control, and other modules of automatic driving. In addition, it can expand the rapid change detection function of high definition maps based on vehicle data, supporting the rapid update of high definition maps. At the same time, the data transmission adopts the secure transmission mode based on security technology processing and commercial passwords, which effectively guarantees the security of geographic information.

high definition mapautomatic driving map enginelocal path planningfusion positioningmap querychange detection

王艳

展开 >

北京车网科技发展有限公司,北京 102600

高精度地图 自动驾驶地图引擎 局部路径规划 融合定位 地图查询 变化检测

北京市科技计划

Z211100004221015

2024

北京测绘
北京市测绘设计研究院,北京测绘学会

北京测绘

影响因子:0.55
ISSN:1007-3000
年,卷(期):2024.38(1)
  • 21