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. https://doi.org/10.1016/j.jag.2022.103083
2. Automatic Registration of Panoramic Image and Point Cloud Based on the Shape of the Overall Ground Object B. Wang et al. https://doi.org/10.1109/ACCESS.2023.3260847
3. Registration of Panoramic/Fish-Eye Image Sequence and LiDAR Points Using Skyline Features N. Zhu et al. https://doi.org/10.3390/s18051651
4. Automatic targetless LiDAR–camera calibration: a survey X. Li et al. https://doi.org/10.1007/s10462-022-10317-y
5. External Extrinsic Calibration of Multi-Modal Imaging Sensors: A Review Z. Liu et al. https://doi.org/10.1109/ACCESS.2023.3322229
6. Automatic registration of panoramic image sequence and mobile laser scanning data using semantic features J. Li et al. https://doi.org/10.1016/j.isprsjprs.2017.12.005
7. FlowCalib: Targetless Infrastructure LiDAR-Camera Extrinsic Calibration Based on Optical Flow and Scene Flow R. Hai et al. https://doi.org/10.1109/TITS.2025.3627651
8. Mutual Information-Based Extrinsic Calibration of Camera-Sonar System Leveraging Sonar Pseudo-Pointcloud and Underwater Light Attenuation Prior N. Bach et al. https://doi.org/10.1109/ACCESS.2026.3672274
9. Fine scale image registration in large-scale urban LIDAR point sets M. Guislain et al. https://doi.org/10.1016/j.cviu.2016.12.004
10. Multi-Level Optimization for Data-Driven Camera–LiDAR Calibration in Data Collection Vehicles Z. Jiang et al. https://doi.org/10.3390/s23218889
11. TransCalib: Automated Extrinsic Calibration of LiDAR–Camera Fusion Using Convolutional Transformer for Targetless Self-Alignment M. Umam et al. https://doi.org/10.1109/ACCESS.2025.3615993