Chinese Journal on Internet of Things ›› 2017, Vol. 1 ›› Issue (2): 76-83.doi: 10.11959/j.issn.2096-3750.2017.00021

• Theory and Technology • Previous Articles     Next Articles

Tramway obstacles detection based on information fusion of MMV radar and machine vision

Guang-yao ZHAI1,Rong CHEN1,Jian-feng ZHANG2,Ji-guang ZHANG3,Cheng WU1,Yi-ming WANG1   

  1. 1 Transportation Engineering Research Center Soochow University,Suzhou 215000,China
    2 Shanghai Fuxin Intelligent Transportation Solutions Co.,Ltd.Suzhou 215000,China
    3 Suzhou Gaoxin District Tramway Co.,Ltd.,Suzhou 215000,China
  • Revised:2017-06-20 Online:2017-09-01 Published:2018-03-10
  • Supported by:
    Project Supported by the Science and Technology Department of Jiangsu Province(BY2015039-12);Project Supported by the Science and Technology Department of Jiangsu Province(KYLX_1231)

Abstract:

A method of obstacle detection based on information fusion of millimeter wave radar and machine vision sensor was proposed.Firstly,the millimeter wave radar and camera calibration,image and radar realize spatiotemporal data synchronization,the target position was accurate projection detected by radar images,and then a method of generating radar target region of interest,and the image information using the frame difference method,image detection of moving objects,detection area was put forward.Finally,the radar detection area was compared with the machine vision detection area.The coincidence degree was calculated,and the target was divided into pedestrian or vehicle according to coincidence degree.The experimental results show that the method can detect the obstacle of millimeter wave radar and machine vision well,and make up for the shortage of single sensor in obstacle detection.

Key words: intelligent driving, millimeter wave radar, machine vision, information fusion

No Suggested Reading articles found!