[1] Obrien E J, Enright B. Using weigh-in-motion data to determine aggressiveness of traffic for bridge loading[J]. Journal of Bridge Engineering, 18, 232-239(2013).
[2] Ye X W, Dong C Z, Liu T. Image-based structural dynamic displacement measurement using different multi-object tracking algorithms[J]. Smart Structures and Systems, 17, 935-956(2016).
[3] Lydon M, Taylor S E, Robinson D et al. Recent developments in bridge weigh in motion (B-WIM)[J]. Journal of Civil Structural Health Monitoring, 6, 69-81(2016).
[4] Ge L F, Dan D H, Li H. An accurate and robust monitoring method of full-bridge traffic load distribution based on YOLO-v3 machine vision[J]. Structural Control and Health Monitoring, 27, e2636(2020).
[5] Ge L F, Dan D H, Yan X F et al. Real time monitoring and evaluation of overturning risk of single-column-pier box-girder bridges based on identification of spatial distribution of moving loads[J]. Engineering Structures, 210, 110383(2020).
[6] Dan D H, Ge L F, Yan X F. Identification of moving loads based on the information fusion of weigh-in-motion system and multiple camera machine vision[J]. Measurement, 144, 155-166(2019).
[7] Li J Y, Gu L, Xu H S et al. The development and testing of a digital ITER-type mock-up based on virtual reality technology[J]. Fusion Science and Technology, 77, 350-358(2021).
[8] Zhang L, Xu X B, Cao C F et al. Robot pose estimation method based on image and point cloud fusion with dynamic feature elimination[J]. Chinese Journal of Lasers, 49, 061001(2022).
[9] Shao J, Zhang A W, Wang S M et al. Research on fusion of 3D laser point clouds and CCD image[J]. Chinese Journal of Lasers, 40, 0514001(2013).
[10] Zhang Z J, Cheng X J, Cao Y J et al. Application of 3D reconstruction of relic sites combined with laser and vision point cloud[J]. Chinese Journal of Lasers, 47, 1110001(2020).
[11] Wang W, Zhang K Y, Liu Y C et al. Research on the flatness detection method for cap of the new energy power battery[J]. Chinese Journal of Scientific Instrument, 41, 218-225(2020).
[12] Liu Q Q. Laser point cloud and image information fusion for 3D scene reconstruction[D], 3-6(2016).
[13] Song W S, Zhang Z H, Gao N et al. Spatial pose calibration method for lidar and camera based on intensity information[J]. Laser & Optoelectronics Progress, 59, 0215003(2022).
[14] Scaramuzza D, Harati A, Siegwart R. Extrinsic self calibration of a camera and a 3D laser range finder from natural scenes[C], 4164-4169(2007).
[15] Habib A, Ghanma M, Morgan M et al. Photogrammetric and lidar data registration using linear features[J]. Photogrammetric Engineering & Remote Sensing, 71, 699-707(2005).
[16] García-Moreno A I, Gonzalez-Barbosa J J, Ornelas-Rodriguez F J et al. LIDAR and panoramic camera extrinsic calibration approach using a pattern plane[M]. Carrasco-Ochoa J A, Martínez-Trinidad J F, Rodríguez J S, et al. Pattern recognition. Lecture notes in computer science, 7914, 104-113(2013).
[17] Klimentjew D, Hendrich N, Zhang J W. Multi sensor fusion of camera and 3D laser range finder for object recognition[C], 236-241(2010).
[18] Rushmeier H, Gomes J, Giordano F et al. Design and use of an In-museum system for artifact capture[C], 8(2003).
[19] Sha O, Lü Y Z, Ling J Y et al. Color restoration of object surface point cloud in three-dimensional laser scanning system[J]. Optics and Precision Engineering, 28, 2158-2167(2020).
[20] Faugeras O D, Toscani G. The calibration problem for stereo[C], 15-20(1986).
[21] He W, Deng L, Shi H et al. Novel virtual simply supported beam method for detecting the speed and axles of moving vehicles on bridges[J]. Journal of Bridge Engineering, 22, 04016141(2017).
[22] Wang F B, Tu P, Wu C et al. Multi-image mosaic with SIFT and vision measurement for microscale structures processed by femtosecond laser[J]. Optics and Lasers in Engineering, 100, 124-130(2018).