1. [1] M. Javanmardi, E. Javanmardi, Y. Gu, and S. Kamijo, "Towards high-definition 3D urban mapping: Road feature-based registration of mobile mapping systems and aerial imagery," Remote Sensing, vol. 9, no. 10, p. 975, 2017. [ DOI:10.3390/rs9100975] 2. [2] A. Mancini, E. Frontoni, and P. Zingaretti, "Automatic road object extraction from mobile mapping systems," in Proceedings of 2012 IEEE/ASME 8th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2012: IEEE, pp. 281-286. [ DOI:10.1109/MESA.2012.6275575] 3. [3] D. Espinel-Gomez, W. Fernandez-Gomez, J. Moreno-Moreno, D. Carranza-Leguizamo, and C. Marrugo, "A Smart Mobile Mapping Application for the Evaluation of Road Infrastructure in Urban and Rural Corridors," in Workshop on Engineering Applications, 2024: Springer, pp. 175-185. [ DOI:10.1007/978-3-031-74595-9_16] 4. [4] M. Elhashash, H. Albanwan, and R. Qin, "A review of mobile mapping systems: From sensors to applications," Sensors, vol. 22, no. 11, p. 4262, 2022. [ DOI:10.3390/s22114262] 5. [5] S. Jiang, D. Weng, J. Liu, and W. Jiang, "Editorial on Special Issue "3D Reconstruction and Mobile Mapping in Urban Environments Using Remote Sensing"," vol. 16, ed: MDPI, 2024, p. 3236. [ DOI:10.3390/rs16173236] 6. [6] I. Puente, H. González-Jorge, J. Martínez-Sánchez, and P. Arias, "Review of mobile mapping and surveying technologies," Measurement, vol. 46, no. 7, pp. 2127-2145, 2013. [ DOI:10.1016/j.measurement.2013.03.006] 7. [7] E. Khoramshahi et al., "Accurate calibration scheme for a multi-camera mobile mapping system," Remote Sensing, vol. 11, no. 23, p. 2778, 2019. [ DOI:10.3390/rs11232778] 8. [8] J. Jiao, H. Ye, Y. Zhu, and M. Liu, "Robust odometry and mapping for multi-lidar systems with online extrinsic calibration," IEEE Transactions on Robotics, vol. 38, no. 1, pp. 351-371, 2021. [ DOI:10.1109/TRO.2021.3078287] 9. [9] C. Yuan, S. Bi, J. Cheng, D. Yang, and W. Wang, "Low-cost calibration of matching error between lidar and motor for a rotating 2D lidar," Applied Sciences, vol. 11, no. 3, p. 913, 2021. [ DOI:10.3390/app11030913] 10. [10] C. Park, P. Moghadam, S. Kim, S. Sridharan, and C. Fookes, "Spatiotemporal camera-LiDAR calibration: A targetless and structureless approach," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1556-1563, 2020. [ DOI:10.1109/LRA.2020.2969164] 11. [11] M. B. Alatise and G. P. Hancke, "A review on challenges of autonomous mobile robot and sensor fusion methods," IEEE Access, vol. 8, pp. 39830-39846, 2020. [ DOI:10.1109/ACCESS.2020.2975643] 12. [12] M. Manouchehri and A. H. Ahmadabadian, "Extrinsic calibration of a camera and a 2D laser range finder using ping pong balls and the corner of a room," Measurement, vol. 216, p. 113011, 2023. [ DOI:10.1016/j.measurement.2023.113011] 13. [13] J. Duan, Y. Huang, Y. Wang, X. Ye, and H. Yang, "Multipath-Closure Calibration of Stereo Camera and 3D LiDAR Combined with Multiple Constraints," Remote Sensing, vol. 16, no. 2, p. 258, 2024. [ DOI:10.3390/rs16020258] 14. [14] J. Jiao, F. Chen, H. Wei, J. Wu, and M. Liu, "Lce-calib: automatic lidar-frame/event camera extrinsic calibration with a globally optimal solution," IEEE/ASME Transactions on Mechatronics, vol. 28, no. 5, pp. 2988-2999, 2023. [ DOI:10.1109/TMECH.2023.3259444] 15. [15] J. Beltrán, C. Guindel, A. De La Escalera, and F. García, "Automatic extrinsic calibration method for lidar and camera sensor setups," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 17677-17689, 2022. [ DOI:10.1109/TITS.2022.3155228] 16. [16] P. Jiang, P. Osteen, and S. Saripalli, "Calibrating lidar and camera using semantic mutual information," arXiv preprint arXiv:2104.12023, 2021. 17. [17] Y. Li et al., "Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection," in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2022, pp. 17182-17191. [ DOI:10.1109/CVPR52688.2022.01667] 18. [18] J. Winter and R. Nowak, "Point Cloud Densification Algorithm for Multiple Cameras and Lidars Data Fusion," Sensors (Basel, Switzerland), vol. 24, no. 17, p. 5786, 2024. [ DOI:10.3390/s24175786] 19. [19] B. Liu et al., "OmniColor: A Global Camera Pose Optimization Approach of LiDAR-360Camera Fusion for Colorizing Point Clouds," arXiv preprint arXiv:2404.04693, 2024. [ DOI:10.1109/ICRA57147.2024.10610292] 20. [20] X. Xu et al., "Fusionrcnn: Lidar-camera fusion for two-stage 3d object detection," Remote Sensing, vol. 15, no. 7, p. 1839, 2023. [ DOI:10.3390/rs15071839] 21. [21] X. Lv, B. Wang, Z. Dou, D. Ye, and S. Wang, "LCCNet: LiDAR and camera self-calibration using cost volume network," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 2894-2901. [ DOI:10.1109/CVPRW53098.2021.00324] 22. [22] T. Shinohara, H. Xiu, and M. Matsuoka, "Point2color: 3d point cloud colorization using a conditional generative network and differentiable rendering for airborne lidar," in Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition, 2021, pp. 1062-1071. [ DOI:10.1109/CVPRW53098.2021.00117] 23. [23] J. Cui and S. Schwertfeger, "CP+: Camera Poses Augmentation with Large-scale LiDAR Maps," in 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2022: IEEE, pp. 69-74. [ DOI:10.1109/RCAR54675.2022.9872176] 24. [24] Z. Zhengyou, "A flexible new technique for camera calibration," Microsoft Research Technical Report, 1998. 25. [25] J. Sánchez, N. Monzón, and A. Salgado De La Nuez, "An analysis and implementation of the harris corner detector," Image Processing On Line, 2018. [ DOI:10.5201/ipol.2018.229] 26. [26] E. Rosten and T. Drummond, "Machine learning for high-speed corner detection," in Computer Vision-ECCV 2006: 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006. Proceedings, Part I 9, 2006: Springer, pp. 430-443. [ DOI:10.1007/11744023_34] 27. [27] A. Jakubović and J. Velagić, "Image feature matching and object detection using brute-force matchers," in 2018 International Symposium ELMAR, 2018: IEEE, pp. 83-86. [ DOI:10.23919/ELMAR.2018.8534641] 28. [28] V. Vijayan and P. Kp, "FLANN based matching with SIFT descriptors for drowsy features extraction," in 2019 Fifth International Conference on Image Information Processing (ICIIP), 2019: IEEE, pp. 600-605. [ DOI:10.1109/ICIIP47207.2019.8985924] 29. [29] J. J. Moré, "The Levenberg-Marquardt algorithm: implementation and theory," in Numerical analysis: proceedings of the biennial Conference held at Dundee, June 28-July 1, 1977, 2006: Springer, pp. 105-116. [ DOI:10.1007/BFb0067700] 30. [30] C. B. Duane, "Close-range camera calibration," Photogramm. Eng, vol. 37, no. 8, pp. 855-866, 1971. 31. [31] B. K. Horn, "Closed-form solution of absolute orientation using unit quaternions," Journal of the optical society of America A, vol. 4, no. 4, pp. 629-642, 1987. [ DOI:10.1364/JOSAA.4.000629] 32. [32] K. Kingsland, "Comparative analysis of digital photogrammetry software for cultural heritage," Digital Applications in Archaeology and Cultural Heritage, vol. 18, p. e00157, 2020. [ DOI:10.1016/j.daach.2020.e00157]
|