基于小型无人机摄影测量的交通事故现场勘查

doi:10.13229/j.cnki.jdxbgxb201605009

摘要/Abstract

摘要： 为了解决道路交通事故现场二维勘测中“四点法”的不足和实际应用问题,提出了基于小型无人机摄影测量的“改进四点法”。首先,通过小型无人机拍摄事故现场图像;其次,对事故现场图像采用预先对控制点信息进行归一化处理的方式减少校正过程中病态矩阵求解问题;然后,调用图像校正算法将透视图校正为正投影图;最后,以校正后的正投影图为依据,调用图像量测模块在新的正投影图上进行测量、记录和标注。通过控制场地测试和典型交通事故案例现场测试验证了该方法的有效性。与传统人工测绘以及图像测量方法相比,该方法在提高事故现场勘测精度的同时,扩展了勘测现场范围,抑制了拍摄角对“四点法”精度的影响。

关键词: 交通运输系统工程, 交通事故, 摄影测量, 改进四点法, 小型无人机

Abstract: In order to solve the deficiency and limit of using “4-point photogrammetric method” in 2D surveying of traffic accident scene, an improved 4-point surveying method was proposed, which was based on Small Unmanned Aircraft Vehicle (SUAV). First, the traffic accident scene images are capture by SUAV. Second, the captured images are transmitted back to the image pickup device immediately, and a pre-normalized approach for control point information processing is applied to reduce pathological situation of matrix calculation in the correction process. Then, the image correction algorithm is employed to rectify the perspective image to orthographic image. Finally, an image measuring module is used to measure, record and mark the information on the basis of the orthographic image. A control field test and an accident cased were used to validate the proposed method. Compared with the traditional manual surveying and photogrammetric method, the proposed method can not only improve the accuracy of accident scene surveying, but also expand the scope of the investigation, and constrain the impact of project angle on the accuracy of 4-point photogrammetric method.

Key words: engineering of communication and transportation system, traffic accident, photogrammetry, improved four-point method, small unmanned aircraft vehicles(SUAV)

中图分类号:

U491

陈强, 许洪国, 谭立东. 基于小型无人机摄影测量的交通事故现场勘查[J]. 吉林大学学报(工学版), 2016, 46(5): 1439-1446.

CHEN Qiang, XU Hong-guo, TAN Li-dong. Surveying method of traffic accident scene based on SUAV photogrammetry[J]. 吉林大学学报(工学版), 2016, 46(5): 1439-1446.

参考文献

[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, 546.
Yang Bo, Jin Xian-long, Zhang Xiao-yun, et al. Information acquisition and process reconstruction of traffic accidents based on digitial photogrammetry[J]. Automotive Engineering, 2010, 32(6): 530-534, 546.
[2] 田建, 李江, 李亚桥. 道路交通事故现场摄影测量的标定技术[J]. 吉林大学学报:工学版, 2006,36(增刊1): 136-139.
Tian Jian, Li Jiang, Li Ya-qiao. Calibration technique of photogrammetry of traffic accident scene[J]. Journal of Jilin University ( Engineering and Technology Edition), 2006,36(Sup.1): 136-139.
[3] 杨亚威,李俊山,张士杰,等. 基于视觉对比敏感度与恰可察觉失真感知的图像复原[J]. 光学精密工程, 2014, 22(2): 459-466.
Yang Ya-wei, Li Jun-shan, Zhang Shi-jie, et al. Image restoration based on visual contrast sensitivity and just noticeable distortion perception[J]. Optics and Precision Engineering, 2014, 22(2): 459-466.
[4] 柯洪昌, 孙宏彬. 图像序列的显著性目标区域检测方法[J]. 中国光学, 2015,8(5): 768-774.
Ke Hong-chang.Sun Hong-bin, A saliency target area detection method of image sequence[J]. Chinese Optics, 2015,8(5): 768-774.
[5] 张来刚, 魏仲慧, 何昕,等. 多约束融合算法在多摄像机测量系统中的应用[J]. 液晶与显示, 2013,28(4): 608-614.
Zhang Lai-gang, Wei Zhong-hui, He Xin, et al. Multi-camera measurement system based on multi-constraint fusion algorithm[J]. Chinese Journal of Liquid Crystal and Displays,2013,28(4): 608-614.
[6] 鲁光泉, 胡楠, 李一兵. 道路交通事故现场平面直线参数的摄影测量重建方法[J]. 交通运输工程学报, 2010, 10(3): 118-121.
Lu Guang-quan, Hu Nan, Li Yi-bing. Reconstruction method of line parameters in traffic accident scene plane by photogrammetry[J]. Journal of Traffic and Transportation Engineering,2010, 10(3): 118-121.
[7] Cliff W E, MacInnis D D, Switzer D A. An evaluation of rectified bitmap 2D photogrammetry with PC-Rect[C]∥SAE Paper, 970952.
[8] Switzer D,Candrlic T.Factors affecting the accuracy of non-metric analytical 3-D photogrammetry, using photoModeler[C]∥SAE Paper,1999-01-0451.
[9] iWitness Close Range Photogrammetry. Accuracy performance of the close-range photogrammetry system iWitness: results of a measurement comparison with a surveying total station[EB/OL].[2014-06-08]. http://www.iwitnessphoto.com/iwitness/accuracy_study3.html.
[10] Erickson M S, Bauer J J, Hayes W C. The accuracy of photo-based three-dimensional scanning for collision reconstruction using 123D Catch[C]∥SAE Paper, 2013-01-0784.
[11] Randles B, Jones B, Welcher J, et al. The accuracy of photogrammetry vs. hand-on measurement techniques used in accident reconstrucion[C]∥SAE Paper, 2010-01-0065.
[12] Wang G, Hu Z, Wu F, et al. Single view metrology from scene constraints[J]. Image and Vision Computing, 2005, 23(9): 831-840.
[13] 苗新强, 金先龙. 基于图像引导的交通事故现场实时测绘方法[J]. 上海交通大学学报, 2013, 47(2): 253-258.
Miao Xin-qiang, Jin Xian-long. Real time mapping for traffic accident scene based on image guide[J]. Journal of Shanghai Jiao Tong University, 2013, 47(2): 253-258.
[14] 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.
[15] 李少龙, 蒋国辉. 天宝X100无人机摄影测量试验[J]. 测绘通报, 2013(8): 120-121.
Li Shao-long, Jiang Guo-hui. The photogrammetry test of Trimble X100 UAV[J]. Bulletin of Surveying and Mapping, 2013(8): 120-121.
[16] 韩学源, 金先龙, 张晓云, 等. 基于视频图像与直接线性变换理论的车辆运动信息重构[J]. 汽车工程, 2012,34(12): 1145-1149.
Han Xue-yuan, Jin Xian-long, Zhang Xiao-yun, et al. Vehicle movement information reconstruction based on video images and DLT theory[J]. Automotive Engineering, 2012,34(12): 1145-1149.
[17] Hartley R I. In defense of the eight-point algorithm[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(6):580-593.
[18] 郝亮, 邓希宁, 刘斌, 等. RGB 格式彩色图像重建算法的研究[J]. 激光与红外, 2013, 43(2): 229-232.
Hao Liang, Deng Xi-ning, Liu Bin, et al. Research reconstructed algorithm of RGB format color image[J]. Laser & Infrared, 2013, 43(2): 229-232.
[19] 贾苏娟, 韩广良, 陈小林,等. 光度非均匀彩色序列图像超分辨率重建[J]. 液晶与显示, 2014,29(1): 106-113.
Jia Su-juan, HanN Guang-liang, Chen Xiao-lin, et al. Super-resolution reconstruction with photometric change of color image sequence[J]. Chinese Journal of Liquid Crystal and Displays,2014,29(1): 106-113.
[20] 赵金玲, 刘学锋. 基于 MATLAB 的遥感数字图像几何校正方法[J]. 测绘与空间地理信息, 2003, 26(2): 24-25.
Zhao Jin-ling, Liu Xue-feng. The methodology of geometrically correction about remote sensing digital image based on MATLAB[J]. Geomatics & Spatial Information Technology, 2003, 26(2): 24-25.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed