Reconstruction method of line parameters in traffic accident scene plane by photogrammetry
-
摘要: 以空间直线的三维重建原理为基础, 通过现场空间直线段在摄影测量系统空间下的三维重建, 实现了道路交通事故现场图绘制平面的最小中值二乘拟合, 并完成了现场空间直线从摄影测量系统空间向道路交通事故现场图绘制平面的转换, 实现了道路交通事故现场平面直线参数的检测和重建。对摄影测量系统世界坐标系下现场图平面、中心线及左、右边缘线的三维重建进行了试验, 并得到了中心线及左、右边缘线在现场图平面上的投影直线方程和投影图。试验结果表明: 左、右边缘线和中心线在现场图平面上的投影与x轴的夹角之差均小于0.1°, 道路的边缘线与中心线基本平行, 测量精度较好。Abstract: Based on the theory of 3D reconstruction of space lines and through 3D reconstruction of scene space lines under photogrammetry system, the drawing plane of traffic accident scene was constructed by the least median of squares method, and the scene space lines' transformations from photogrammetry system space to road traffic accident drawing plane were completed.The examination and reconstruction of lines' parameters in road traffic accident scene plane were realized.Test was done to reconstruct drawing plane, middle line, right and left edge lines in the reference frame of photogrammetry system.The projective equations of middle line, right and left edge lines in drawing plane were calculated, and the lines were drawn in drawing plane.Test result indicates that the differences of angles among edge lines, middle line and x axis are less than 0.1°, and edge lines and middle line are almost parallel, so the measurement precision is exact.
-
Key words:
- traffic safety /
- accident scene /
- 3D reconstruction /
- line parameter
-
表 2 直线的三维重建结果
Table 2. 3D reconstruction results of lines
mm 直线 图像 直线方程 左边缘线 图 3(a) -1 291.656 260x+2.753 161y+2 970.801 888z- 4 436 796.023 753=0 图 3(b) -1 014.879 914x+8.960 057y+2 900.473 750z- 3 474 158.368 731=0 中心线 图 3(a) -12 454.323 196x-15.013 268y+3 362.734 361z- 5 170 533.891 861=0 图 3(b) -3 305.877 507x+8.416 022y+2 781.617 549z- 1 432 720.062 337=0 右边缘线 图 3(a) 1 454.931 186x+10.197 967y+2 872.938 079z- 4 249 271.201 950=0 图 3(b) 2 148.952 042x+18.751 242y+3 060.188 306z- 6 273 393.514 749=0 
下载: 导出CSV
表 3 现场图平面方程及直线投影方程
Table 3. Scene drawing plane equation and line projected equations
方程 方程/mm 与x轴的夹角/ (°) 现场图平面方程 0.03x-0.01y-z+59.24=0 — 左边缘线 626.909 0x-y+2.420 8×106=0 89.91 中心线 398.850 9x-y+1.714 8×106=0 89.86 右边缘线 654.731 0x-y-1.799 2×106=0 89.91
下载: 导出CSV
-
[1] 许洪国, 都雪静, 许言, 等. 基于大灯碎片分布场的汽车碰撞事故再现模型[J]. 长安大学学报: 自然科学版, 2008, 28 (2): 80-83. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200802019.htmXU Hong-guo, DU Xue-jing, XU Yan, et al. Vehicles' crashing accident reconstruction model based on lamp debris distribution field[J]. Journal of Chang an University: Natu-ral Science Edition, 2008, 28 (2): 80-83. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200802019.htm [2] FENTON S, JOHNSON W, LAROCQUE J, et al. Using digital photogrammetry to determine vehicle crush and equivalent barrier speed (EBS)[J]. SAE Paper 1999-01-0439. [3] KERKHOFF J F. Photographic techniques for accident reconstruction[J]. SAE Paper 850248. [4] ROLLY K J, MAGEDANZ B. TRANS4: a traffic accident photogrammetric system, description of the system and its inherent errors[J]. SAE Paper 861417. [5] GRIMES W D, CULLEY C H, CROMACK J R. Field application of photogrammetric analysis techniques: applications of the fotogram program[J]. SAE Paper 861418. [6] 王丰元. 计算机视觉在道路交通事故现场勘查中的应用研究[D]. 北京: 中国农业大学, 1997.WANG Feng-yuan. Application of computer vision to road traffic accident scene measurement[D]. Beijing: China Agricultural University, 1997. (in Chinese) [7] XU Hong-guo, LU Guang-quan. Application of photogrammetry to measurement of traffic accident scene[C]//ASCE. Proceedings of the Third International Conference on Traffic and Transportation Studies. Guilin: ASCE, 2002: 1077-1082. [8] 王丰元, 宇仁德, 杜守旭. 道路交通事故现场摄影测量原理与模型试验[J]. 中国公路学报, 2001, 14 (1): 100-103. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200101022.htmWANG Feng-yuan, YU Ren-de, DU Shou-xu. Photogrammetric principle and model test for road traffic accident scene measurement[J]. China Journal of Highway and Transport, 2001, 14 (1): 100-103. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200101022.htm [9] 鲁光泉, 李一兵, 黄山. 变形车辆自标定三维重建的建模研究[J]. 汽车工程, 2007, 29 (2): 128-131. https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC200702009.htmLU Guang-quan, LI Yi-bing, Huang Shan. A study on the modeling for three-dimension reconstruction of crushed vehicle with self-calibration technique[J]. Automotive Engineering, 2007, 29 (2): 128-131. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC200702009.htm [10] 鲁光泉. 基于普通相机的交通事故现场三维重建关键技术研究[D]. 长春: 吉林大学, 2004.LU Guang-quan. Study on key problems of three-dimension reconstruction of traffic accident scene based on common camera[D]. Changchun: Jilin University, 2004. (in Chinese) [11] 刘成, 马瑾, 李一兵, 等. 基于空间圆三维重建的车辆定位方法[J]. 汽车工程, 2008, 30 (8): 681-686. https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC200808012.htmLIU Cheng, MA Jin, LI Yi-bing, et al. A method for vehicle positioning based on 3-D reconstruction of spatial circle[J]. Automotive Engineering, 2008, 30 (8): 681-686. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC200808012.htm -
点击查看大图
图(4) / 表(3)
计量
- 文章访问数: 787
- HTML全文浏览量: 86
- PDF下载量: 583
- 被引次数: 0
