计算机工程

所属专题: 智能交通专题

• 智能交通专题 • 上一篇    下一篇

基于现场信息的交通事故视频验伪算法

刘翔 1a,张哲迪 1b,李剑峰 1a,张晓云 1a,俞骏威 2   

  1. (1.上海交通大学 a.机械与动力工程学院; b.电子信息与电气工程学院,上海 200240;2.上海机动车检测中心,上海 201805)
  • 收稿日期:2015-11-16 出版日期:2017-02-15 发布日期:2017-02-15
  • 作者简介:刘翔(1994—),男,实习研究员,主研方向为交通安全数字化技术、机械工程及自动化;张哲迪、李剑峰,实习研究员;张晓云(通信作者),副教授;俞骏威,硕士。
  • 基金项目:
    上海市自然科学基金“基于复杂现场环境随机特征的交通事故过程数值重构可靠性研究”(13ZR1422300)。

Traffic Accident Video Inspection Pseudo Algorithm Based on Scene Information

LIU Xiang  1a,ZHANG Zhedi  1b,LI Jianfeng  1a,ZHANG Xiaoyun  1a,YU Junwei  2   

  1. (1a.School of Mechanical Engineering; 1b.School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University,Shanghai 200240,China; 2.Shanghai Motor Vehicle Inspection Center,Shanghai 201805,China)
  • Received:2015-11-16 Online:2017-02-15 Published:2017-02-15

摘要: 针对交通事故取证视频中信息不全、数据不足导致难以场景复现或者难以鉴定已知数据真伪的问题,提出一种基于逆向工程和地球物理学天球理论的数学模型反求算法。该算法根据取证视频中太阳影子数据反求测量数据时的地理坐标及拍摄时间验证视频真伪。通过天体运行原理建立方程描述日影变化规律,借助拟合方法找出影子长度与真太阳时、平太阳时的关系,反解出太阳高度角及赤纬,并求解当地地理坐标。根据大气层折射、真太阳时与平太阳时时差等产生误差的因素,使用太阳高度角及赤纬角修正公式进行模型优化,从而求解出视频拍摄地点的精确经纬度。实验结果表明,该算法可以较好地获取与复原现场信息。

关键词: 交通事故再现, 现场环境特征, 日影测量, 赤纬, 时差, 真太阳时, 最小二乘法

Abstract: Aiming at the problem that it is hard to review the accident scene or distinguish the authenticity of the known data when the information and data are insufficient in the traffic accident video,an algorithm based on the reverse method towards the earth celestial physics theory is introduced,which is aimed to estimate the geo-temporal position of the video through the shadow trajectories data to distinguish the authenticity.Utilizing the principle of the celestial bodies’ movement to generate the formula to describe the rule of the shadow,and it finds out the relationship among the length of the shadow,real solar time and average solar time by using the data fitting.It determines the local latitude.Towards the atmospheric refraction,the error between the real solar time and the average one,taking the advantage of solar azimuth and altitude,it optimizes the model,through which the accurate position can be estimated.Experimental result shows that the model can retrieve information and recovery scene.

Key words: traffic accident reappearance, scene environment characteristics, shadow measurement, declination, time difference, true solar time, least square method

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