车载激光扫描数据的三维可视化重建

Three-dimensional visualization of vehicle laser scanning data

为了提高车辆动态信息可视化的精度,在车载自组织网络环境中进行车载激光扫描数据三维可视化分析,提出一种基于车载激光扫描点云数据的三维可视化模型构建方法,首先采用三维激光扫描器进行车载信息的云数据采集,采集的激光扫描点云数据反映了车辆的速度、方向、行驶时间和连通度等信息特征。然后建立车载自组织网路由模型,对车载激光扫描点云数据进行信息增强和特征融合处理,基于最短路径寻优方法建立激光扫描点云数据的链路状态信息查询列表,结合3DStudio MAX软件实现激光扫描点云数据的三维可视化重构。仿真实验结果表明,该方法进行车载激光扫描信息三维可视化重构,能实时准确重建车辆的路况、速度、位置等信息。

In order to improve the accuracy of vehicle dynamic information visualization, automotive self-organizing network environment for car 3 d laser scanning data visualization analysis, put forward a vehicular laser scanning point cloud data based on the 3 d visualization model building method, first using 3 d laser scanner to on-board information of cloud data collection, acquisition of laser scanning point cloud data to reflect the vehicle driving speed, direction, time and connectivity information such as the characteristics. Then on-board self-organization network by model building, the vehicular laser scanning point cloud data processing enhancements and features of information fusion, based on the shortest path optimization method to establish the laser scanning point cloud data of link-state information query list, combined with 3 dstudio MAX software to realize laser scanning point cloud data of 3 d visualization refactoring. The simulation experimental results show that the method reconstructs the on-board 3 d laser scanning information visualization, real-time accurate reconstruction of road conditions, speed, position of the vehicle information.