Objectives The development of high definition (HD) map is of paramount importance in
advancing the digital infrastructure of transportation and serves as a fundamental …

Objectives Road information extraction based on vehicle trajectory data is one of the
hotspots and difficulties in the field of geographic information data acquisition. Traditional …

Extraction of road boundary accurately from crowdsourcing trajectory lines is still a hard
work. Therefore, this study presented a new approach to use vehicle trajectory lines to …

运用众源车辆轨迹数据提取道路信息需要解决轨迹点采样稀疏, 高噪音, 密度差异大等问题.
为此, 本文提出一种运用约束Delaunay 三角网从车辆轨迹线集中提取道路边界的方法. 首先 …

车辆轨迹数据的道路信息提取是地理信息领域的热点也是难点之一, 深度学**的快速发展为该
问题的解决提供了一种思路与方法. 本文针对车辆轨迹数据的车行道级道路提取问题 …

Objectives Road network is the basis of various road traffic analysis and visualization. It is
difficult to extract road centerlines automatically in analyzing the internal of complex …

针对利用GPS 数据提取双向路网和交叉路口转向信息精度低的不足, 本文提出一种顾及位置与
行驶方向的轨迹集聚和精细化路网提取方法, 实现了精细化路网提取. 为提高交叉路口路网的 …

基于车辆轨迹数据的道路信息提取是地理信息领域的热点也是难点之一, 传统方法面临着轨迹
数据源要求高, 道路提取算法复杂, 不同道路提取模型参数适应性不**等问题. 针对以上问题 …

高精地图的发展在智能交通的推进中发挥着关键作用, 是打造智能汽车与智慧城市“数据大脑”
的基石, 同时可推动智慧物流网络与交通安全风险监测网络的发展. 从地图信息传输模型的角度 …

In view of the deficiencies of current surveying methods of gas station, an approach is
proposed to extract gas station from vehicle traces. Firstly, the spatial-temporal …