Real Time Mapping Method for Traffic Accident Scene Based on Image Guide

Abstract

Abstract: In order to meet the needs of mapping the accident scene diagram on the scene for traffic police, a real time mapping method for traffic accident scene investigation based on image guide was proposed. The proposed procedure consists of a transformation which transforms a single photo of the accident scene from perspective image to orthographic image using direct linear transformation method, followed by mapping accident scene information such as vehicles, bodies, fall out objects, braking traces and so on directly over the orthographic image, and finally printing out the accident scene diagram, which needs to be signed by interested parties. A typical traffic accident case was used to validate the proposed method. Compared with the traditional handson measurement, the proposed method can not only improve the accuracy of site investigation, but also can considerably reduce the time of onscene data processing and drawing, which contributes to satisfying the requirement of printing out the accident scene diagram in real time.

Key words: accident reconstruction, traffic accident, accident scene investigation, direct linear transformation, photogrammetry

CLC Number:

MIAO Xin-Qiang-1, 2 , JIN Xian-Long-1, 2 , HAN Xue-Yuan-1, 2 , HOU Xin-Yi-3. Real Time Mapping Method for Traffic Accident Scene Based on Image Guide[J]. Journal of Shanghai Jiaotong University, 2013, 47(02): 253-258.

References

［1］杨博，金先龙，张晓云，等. 基于数字化摄影测量的交通事故信息采集和过程再现［J］.汽车工程，2010，32（6）：530534.

YANG Bo, JIN Xianlong, ZHANG Xiaoyun,et al. Information acquisition and process reconstruction of traffic accidents based on digital photogrammetry［J］. Automotive Engineering, 2010,32（6）: 530534.

［2］DU Xinguang, JIN Xianlong, ZHANG Xiaoyun,et al. Geometry features measurement of traffic accident for reconstruction based on closerange photogrammetry［J］. Advances in Engineering Software, 2009,40（7）: 497505.

［3］陆玉凯，金先龙，黄靖，等. 基于轮胎印记的事故再现方法研究［J］.汽车工程，2006，28（3）：250253.

LU Yukai, JIN Xianlong, HUANG Jing, et al. A research on accident reconstruction based on tire marks［J］. Automotive Engineering, 2006,28（3）: 250253.

［4］鲁光泉，许洪国，刘宏飞，等. 用双目视觉法重建交通事故现场空间点［J］.公路交通科技，2002，19（2）：9496.

LU Guangquan, XU Hongguo, LIU Hongfei, et al. Two eyesvisual method to reconstruct measuring point on traffic accident scene［J］. Journal of Highway and Transportation Research and Development, 2002,19（2）: 9496.

［5］许世燕，苏诗琳. 道路交通事故现场摄影测量几个关键问题的研究［J］.现代电子技术，2004（8）：6364.

XU Shiyan, SU Shilin. Study of main problems about the photogrammetry in treatment of the traffic accident on the road［J］. Modern Electronic Technique, 2004（8）: 6364.

［6］田建，李江，丁同强，等. 道路交通事故摄影测量模型的标定点自动提取技术研究［J］.交通与计算机，2005，23（3）：57.

TIAN Jian, LI Jiang, DING Tongqiang,et al. Automatic detection technology of reference points for traffic accident photogrammetry model［J］.Computer and Communications, 2005,23（3）: 57.

［7］唐阳山，李江，白艳，等. 交通事故摄影测量中相机标定的扩展两步法［J］.交通运输工程学报，2007，7（1）：8184.

TANG Yangshan, LI Jiang, BAI Yan, et al. Extendedtwostep camera calibrated method of traffic accident scene measurement［J］. Journal of Traffic and Transportation Engineering, 2007,7（1）: 8184.〖HJ*3/5〗

［8］鲁光泉，李一兵. 基于普通数码相机的交通事故摄影测量技术及其研究进展［J］.交通运输工程与信息学报，2005，3（3）：6467.

LU Guangquan, LI Yibing. Technique of photogrammetry in accident reconstruction using common digital camera and its progress［J］. Journal of Transportation Engineering and Information, 2005,3（3）: 6467.

［9］王丰元，杨朝会，邹旭东，等. 基于道路标线的交通事故现场摄影测量研究［J］.交通运输工程与信息学报，2008，6（1）：15.

WANG Fengyuan, YANG Zhaohui, ZOU Xudong, et al. Application of photogrammetry in traffic accident scene measurement based on road mark［J］. Journal of Transportation Engineering and Information, 2008,6（1）: 15.

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