测量路面三维纹理双目重构算法的约束改进

doi:10.13229/j.cnki.jdxbgxb20200300

Abstract

Abstract:

In order to improve the measurement accuracy of three-dimensional (3D) texture of asphalt pavement, the traditional binocular reconstruction algorithm was improved in threefold. First, the laser line constraint was introduced. Second, the improved binocular reconstruction test system and the 3D texture measurement precision evaluation device were produced. Finally, the regional segmentation matching algorithm was established. The results show that the introduction of laser line constraints can improve the accuracy of both overall measurement and single point measurement. Moreover, the measurement accuracy of the improved algorithm can be improved with the increase in the number of laser line constraints. Using six laser constraints, the improved algorithm can satisfy the precise measurement of pavement 3D texture. Additionally, the improved algorithm has good anti-interference ability to light, and can keep stable in the illumination range of 50~ 350 LUX.

Key words: road engineering, laser line constraint, improved binocular reconstruction algorithm, region segmentation matching, three-dimensional texture

CLC Number:

U416

Yuan-yuan WANG,Lu SUN,Wei-dong LIU,Jin-shun XUE. Constraint improvement of binocular reconstruction algorithm used to measure pavement three-dimensional texture[J].Journal of Jilin University(Engineering and Technology Edition), 2021, 51(4): 1342-1348.

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References 17

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指标	由激光定位系统指定的激光点位
指标	1^#	2^#	3^#	4^#	5^#	6^#	7^#
左图坐标/pixel	（515，826）	（441，755）	（424，824）	（384，883）	（360，754）	（525，890）	（492，942）
右图坐标/pixel	（516，369）	（442，300）	（424，366）	（385，422）	（360，300）	（526，430）	（493，483）
游标卡尺实测高程/mm	105.40	105.68	105.20	104.57	106.10	104.66	104.86
参考高程差/mm	-	0.28	-0.20	-0.83	0.70	-0.75	-0.55

分项		指定激光点位序号							统计结果
分项		1^#	2^#	3^#	4^#	5^#	6^#	7^#	平均偏差	最大偏差
参考高程差/mm		-	0.28	-0.20	-0.83	0.70	-0.75	-0.55	-	-
0条激光线约束	测试高程/mm	105.31	105.68	105.39	105.12	106.22	105.13	105.08	-	-
	高程差/mm	-	0.37	0.08	-0.19	0.91	-0.18	-0.23	-	-
	绝对偏差/mm	-	0.09	0.28	0.64	0.21	0.57	0.32	0.35	0.64
	相对偏差/%	-	32.14	-140.00	-77.11	30.00	-76.00	-58.18	-48.19	-140.00
	匹配算法运行时间/s				0.2928
2条激光线约束	测试高程/mm	105.35	105.77	105.38	105.14	106.3	105.14	104.74	-	-
	高程差/mm	-	0.42	0.03	-0.21	0.95	-0.21	-0.61	-	-
	绝对偏差/mm	-	0.14	0.23	0.62	0.25	0.54	-0.06	0.29	0.62
	相对偏差/%	-	50.00	-115.00	-74.70	35.71	-72.00	10.91	-27.51	-115.00
	匹配算法运行时间/s				3.4337
4条激光线约束	测试高程/mm	105.32	105.77	105.07	104.91	106.22	105.10	104.38	-	-
	高程差/mm	-	0.45	-0.25	-0.41	0.90	-0.22	-0.94	-	-
	绝对偏差/mm	-	0.17	-0.05	0.42	0.20	0.53	-0.39	0.15	0.42
	相对偏差/%	-	60.71	25.00	-50.60	28.57	-70.67	70.91	10.65	70.91
	匹配算法运行时间/s				4.1020
6条激光线约束	测试高程/mm	105.60	105.92	105.31	104.91	106.27	104.82	105.15	-	-
	高程差/mm	-	0.32	-0.29	-0.69	0.67	-0.78	-0.45	-	-
	绝对偏差/mm	-	0.04	-0.09	0.14	-0.03	-0.03	0.10	0.02	0.14
	相对偏差/%	-	14.29	45.00	-16.87	-4.29	4.00	-18.18	3.99	45.00
	匹配算法运行时间/s				5.6911

分项		指定激光点位序号
分项		1^#	2^#	3^#	4^#	5^#	6^#	7^#
参考高程差/mm		-	0.28	-0.20	-0.83	0.70	-0.75	-0.55
5 LUX	测试高程/mm	105.61	105.91	105.61	105.28	105.57	105.09	105.19
	高程差/mm	-	0.30	0	-0.33	-0.04	-0.52	-0.42
	绝对偏差/mm	平均值=0.06，最大值=-0.74
	相对偏差/%	平均值=-52.19，最大值=-105.71
50 LUX	测试高程/mm	105.61	105.90	105.32	104.88	106.30	104.84	105.14
	高程差/mm	-	0.29	-0.29	-0.73	0.69	-0.77	-0.47
	绝对偏差/mm	平均值=0.01，最大值=0.10
	相对偏差/%	平均值=3.87，最大值=45.00
240 LUX	测试高程/mm	105.58	105.89	105.29	104.92	106.26	104.78	105.13
	高程差/mm	-	0.31	-0.29	-0.66	0.68	-0.80	-0.45
	绝对偏差/mm	平均值=0.02，最大值=0.17
	相对偏差/%	平均值=3.48，最大值=45.00
350 LUX	测试高程/mm	105.60	105.92	105.31	104.91	106.27	104.82	105.15
	高程差/mm	-	0.32	-0.29	-0.69	0.67	-0.78	-0.45
	绝对偏差/mm	平均值=0.02，最大值=0.14
	相对偏差/%	平均值=3.99，最大值=45.00

Constraint improvement of binocular reconstruction algorithm used to measure pavement three-dimensional texture

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