POINT-CLOUD COMPRESSION FOR VEHICLE-BASED MOBILE MAPPING SYSTEMS USING PORTABLE NETWORK GRAPHICS

14 citations as recorded by crossref.

1. Enhanced LiDAR-Based Localization via Multiresolution Iterative Closest Point Algorithms and Feature Extraction Y. Lyu et al. https://doi.org/10.1109/TAI.2024.3491950
2. Point cloud features suitable for automatic labeling of MMS point cloud data G. TAKAHASHI & H. MASUDA https://doi.org/10.4287/jsprs.60.266
3. A Comprehensive Study and Comparison of Core Technologies for MPEG 3-D Point Cloud Compression H. Liu et al. https://doi.org/10.1109/TBC.2019.2957652
4. Prioritized Transmission Control of Point Cloud Data Obtained by LIDAR Devices K. Sato et al. https://doi.org/10.1109/ACCESS.2020.3003753
5. Fast Run-Length Compression of Point Cloud Geometry D. Tzamarias et al. https://doi.org/10.1109/TIP.2022.3185541
6. A systematic mapping framework for backpack mobile mapping system in common monotonous environments S. Bao et al. https://doi.org/10.1016/j.measurement.2022.111243
7. A CONSIDERATION ON CORRECTION OF IMAGE FOR ROAD LANDSCAPE EVALUATION USING POINT CLOUD DATA K. YASUDA et al. https://doi.org/10.2208/jscejcei.76.1_1
8. Point Cloud Compression: Impact on Object Detection in Outdoor Contexts L. Garrote et al. https://doi.org/10.3390/s22155767
9. Motion Analysis and Performance Improved Method for 3D LiDAR Sensor Data Compression C. Tu et al. https://doi.org/10.1109/TITS.2019.2956066
10. Sole GNSS Sensor Extrinsic Calibration Methods for Mobile Mapping Systems S. Bao et al. https://doi.org/10.1109/LRA.2022.3193632
11. Real-Time Streaming Point Cloud Compression for 3D LiDAR Sensor Using U-Net C. Tu et al. https://doi.org/10.1109/ACCESS.2019.2935253
12. Compression of Sparse and Dense Dynamic Point Clouds—Methods and Standards C. Cao et al. https://doi.org/10.1109/JPROC.2021.3085957
13. Data-Importance-Aware Bandwidth-Allocation Scheme for Point-Cloud Transmission in Multiple LIDAR Sensors R. Otsu et al. https://doi.org/10.1109/ACCESS.2021.3075275
14. Impact of LiDAR point cloud compression on 3D object detection evaluated on the KITTI dataset N. Martins et al. https://doi.org/10.1186/s13640-024-00633-4