Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (4): 318-322.doi: 10.11896/jsjkx.190700137

• Information Security • Previous Articles    

Active Safety Prediction Method for Automobile Collision Warning

TANG Min1, WANG Dong-qiang2, ZENG Xin-yu1   

  1. 1 College of Management,Chongqing Technology and Business University,Chongqing 400067,China;
    2 Chongqing Academy of Science and Technology,Chongqing 401123,China
  • Received:2019-07-19 Online:2020-04-15 Published:2020-04-15
  • Contact: WANG Dong-qiang,born in 1976,associate,is a member of China Computer Federation.His main research interests include mechatronics and big data analysis.
  • About author:TANG Min,born in 1973,associate professor,master supervisor.Her main research interests include information management and information systems,and big data analysis.
  • Supported by:
    This work was supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China (2018YFB1601105)

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Abstract: The research on the active collision avoidance system of the automobile is mainly to make early warning and automatic treatment of the collision of the car,to effectively suppress the occurrence of traffic accidents.This paper studied the key techno-logies of vehicle anti-collision warning based on camera,laser radar and workshop communication,and proposed an active safety prediction algorithm of collision probability based on TTC and collision probability estimation in the stage of intelligent vehicle overtaking and changing roads.The simulation test is carried out on the 1∶10 simulation platform, and the accuracy of 200 times simultaneous and reverse approach warning emergency warning for four intelligent vehicles is 100%,which verifies the effectiveness of the proposed method.

Key words: Active safety, Collision, Early warning, Overtake

CLC Number: 

  • TP15
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