Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 196-205.doi: 10.11896/JsJkx.190900066

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Novel Threat Degree Analysis Method for Scattered ObJects in Road Traffic Based on Dynamic Multi-feature Fusion

WU Hong-tao1, LIU Li-yuan1, MENG Ying1, RONG Ya-peng1 and LI Lu-kai2   

  1. 1 Shanxi Traffic Science Research Institute,Taiyuan 030032,China
    2 Taiyuan Normal University,Taiyuan 030619,China
  • Published:2020-07-07
  • About author:WU Hong-tao, Ph.D, engineer.His main research interests include computer vision and analysis and modeling of intelligent transportation.
    LI Lu-kai, postgraduate, lecturer.Her main research interests include 3D art design and so on.
  • Supported by:
    This work was supported by the Research on Road Safety Requirements and Field Evaluation for Autodriving Vehicles (2018-1-21),Research and Application of Auto-driving Vehicle Fusion Technology for Expressway Operation Environment(18-JKKJ-01) and Application Research ProJect of Shanxi Communications Holding Group (19-JKKJ-51,19-JKKJ-30).

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Abstract: Scattered obJects in road traffic may cause potential safety threat to transportation.In the context of industry application of auto-driving environment sensing,a novel threat-degree analysis method for abandoned obJect in road traffic based on dynamic multi-feature fusion was proposed in this paper.It realizes multiple vehicles tracking and the automatic analysis of the threat degree of the scattered obJects to vehicles in the driving area.In the proposed method,in order to extract the traffic characteristic parameters of the vehicles in foreground,firstly,the multi-vehicle tracking method was studied,and a novel tracking algorithm based on Camshift and identity data association was proposed.This algorithm records the identity data of the tracked vehicles by establishing the track list,real-time tracking of multi-vehicle targets in foreground can be realized.Then,the dynamic features of the vehicles are extracted based on the traffic characteristic parameters,the scattered obJects safety analysis modeling is established based on target tracking.A threat-degree analysis method of scattered obJects in road traffic was put forward by analyzing the dynamic multi-feature of the tracked vehicles.The proposed method not only overcomes the limitation of the environment sensing using only one dynamic feature,but also can accurately estimate the threat-degree of scattered obJects in road traffic to transportation by the multiple features fusion decision method.Finally,in order to verify the robustness and practicability of the proposed threat-degree analysis method,this paper designed an experiment that using the simulation and the real road video.The simulation video was simulated by 3dmax,and the real video was captured by CCD camera.The proposed algorithm was tes-ted on the software platform constructed by VS2008 and OpenCV,and the simulation figures were obtained by MATLAB2014.The resolution of video image was 320*240.The results show that the proposed method can accurately analyze the threat-degree of scattered obJects in road traffic,and utilizing the third party’s test perspective can broaden the application range of the particular vehicle’s safety area threat-degree analysis.By designing a safety threat-degree analysis model of the auto-vehicle’s surrounding environment,the proposed method can provide theoretical basis and technical support for on-board application of safe driving decision-making of auto-driving vehicles.

Key words: Auto-driving environment sensing, Multiple features fusion, Road safety decision-making, Scattered obJect, Target threat-degree analysis

CLC Number: 

  • U495
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