Skyline matching based camera orientation from images and mobile mapping point clouds

11 citations as recorded by crossref.

1. Automatic registration of point cloud and panoramic images in urban scenes based on pole matching Y. Wang et al. 10.1016/j.jag.2022.103083
2. NRLI-UAV: Non-rigid registration of sequential raw laser scans and images for low-cost UAV LiDAR point cloud quality improvement J. Li et al. 10.1016/j.isprsjprs.2019.10.009
3. Automatic Registration of Panoramic Image and Point Cloud Based on the Shape of the Overall Ground Object B. Wang et al. 10.1109/ACCESS.2023.3260847
4. Fine scale image registration in large-scale urban LIDAR point sets M. Guislain et al. 10.1016/j.cviu.2016.12.004
5. Registration of Panoramic/Fish-Eye Image Sequence and LiDAR Points Using Skyline Features N. Zhu et al. 10.3390/s18051651
6. Towards automated extraction for terrestrial laser scanning data of building components based on panorama and deep learning D. Li et al. 10.1016/j.jobe.2022.104106
7. Automatic targetless LiDAR–camera calibration: a survey X. Li et al. 10.1007/s10462-022-10317-y
8. External Extrinsic Calibration of Multi-Modal Imaging Sensors: A Review Z. Liu et al. 10.1109/ACCESS.2023.3322229
9. Multi-Level Optimization for Data-Driven Camera–LiDAR Calibration in Data Collection Vehicles Z. Jiang et al. 10.3390/s23218889
10. Automatic registration of panoramic image sequence and mobile laser scanning data using semantic features J. Li et al. 10.1016/j.isprsjprs.2017.12.005
11. TransCalib: Automated Extrinsic Calibration of LiDAR–Camera Fusion Using Convolutional Transformer for Targetless Self-Alignment M. Umam et al. 10.1109/ACCESS.2025.3615993