道路信息提取方法及其在虚拟战场环境中的应用

A method for extraction and utilization of road information in the virtual battlefield environment system

针对计算机生成兵力系统中虚拟战场环境模拟对道路信息的需求,本文提出了一种提取百度地图上道路信息的方法,克服了难以获取高精度道路信息的局限,相比传统基于地图图像识别的道路提取方法速度快。具体做法包括(但不限于):基于百度地图API制作黑白二值图像,通过OpenCV提取黑白二值图像特征点,并用算法筛选特征点,计算通视性矩阵和距离矩阵,实现最短路径规划。最终通过一个实例验证了本文方法在虚拟战场环境中应用的有效性。

Aiming to obtain the information of roads when building virtual battlefield environment in a Computer Generated Forces system,this paper proposes an extraction method for road information based on the Baidu Map,which removes the limitation of obtaining high precision road information,and works faster than traditional extraction methods based on map images. How to extract and utilize the road information is introduced,including making black- white binary image based on the Baidu Map Application Program Interface,extracting the feature points in a black- white binary image by OpenCV,algorithm forculling the useless feature points,calculating visibility and distance matrixes for shortest path planning.Finally the method is verified for effectiveness by an example in the virtual battlefield environment.