主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

Automobile Applied Technology ›› 2021, Vol. 46 ›› Issue (15): 34-38.DOI: 10.16638/j.cnki.1671-7988.2021.015.010

• Intelligent Connected Vehicle • Previous Articles     Next Articles

Research of Universal Domain Perception Scheme for Vehicle in Proving Ground Based on Enhanced-smart Road Technology

ZHANG Disi1,2,3, ZHOU Liang1,2, Xie Bo1,2, WU Dirui1,2   

  1. 1. China Merchants Testing Vehicle Technology Research Institute Co., Ltd., National Intelligent Connected Vehicle Quality Testing & Inspection Center, Chongqing 401122;
    2. Chongqing Autonomous Driving system and Intelligent Connected Vehicle Research and Testing Center, Chongqing 401122;
    3. Chongqing University, Chongqing 400000
  • Online:2021-08-15 Published:2021-08-20

基于道路智能化技术的试验场车辆全域轨迹感知方案研究

张迪思1,2,3, 周亮1,2, 谢波1,2, 吴迪瑞1,2   

  1. 1.招商检测车辆技术研究院有限公司 国家智能网联汽车质量检验检测中心(重庆),重庆 401122;
    2.自动驾驶系统及智能网联汽车技术研发与测试应用重庆工程研究中心,重庆 401122;
    3.重庆大学,重庆 400000
  • 作者简介:张迪思,硕士学位,高级职称,就职于招商局检测车辆技术研究院有限公司,研究方向为智能汽车与主动安全技术。

Abstract: In order to enhance the intelligent ability of the road and enable it to actively perceive vehicles, a framework based on MEC technology and lidar equipment is designed. Firstly, the area is fully covered by multi lidar splicing, and the point cloud data of lidar are analyzed in real time by using MEC. The structured data of traffic participants are obtained, which are encapsulated according to certain standards and specifications. It is transmitted to the visualization system through middleware system. At the same time, the virtual ID and physical ID of the test vehicle can be matched by doorkeeper matching or track matching, so that the administrator can accurately obtain the track information of the test vehicle on the monitor screen without OBUs on vehicle.

Key words: MEC edge calculation, Laser radar, Global awareness

摘要: 为了增强道路智能化能力使其能够主动且精确地感知车辆,设计了一个基于MEC技术和激光雷达等设备的道路智能化架构,首先通过多激光雷达拼接实现区域的感知全覆盖,利用边缘计算单元实时分析激光雷达的点云数据,获取交通参与者的结构化数据,按照一定的标准规范对数据进行封装后经中间件系统传输至后台应用展示端,同时通过门岗匹配或轨迹匹配等方式实现试验车辆虚拟ID和物理ID的匹配,使管理者能够在不依赖车载终端的情况下准确地获知试验车辆在试验场全区域的轨迹信息。

关键词: MEC边缘计算, 激光雷达, 全域感知

CLC Number: