ISPRS BENCHMARK ON MULTISENSORY INDOOR MAPPING AND POSITIONING

6 citations as recorded by crossref.

1. 3D Lidar Point Cloud Segmentation for Automated Driving R. Abbasi et al. https://doi.org/10.1109/MITS.2023.3325854
2. A tight coupling mapping method to integrate the ESKF, g2o, and point cloud alignment B. Sheng et al. https://doi.org/10.1007/s11227-021-03900-7
3. Evaluating the Quality of Semantic Segmented 3D Point Clouds E. Barnefske & H. Sternberg https://doi.org/10.3390/rs14030446
4. Multimodal sensor dataset from vehicle-mounted mobile mapping system for comprehensive urban scenes S. Lu et al. https://doi.org/10.1038/s41597-025-05471-1
5. WHU-Helmet: A Helmet-Based Multisensor SLAM Dataset for the Evaluation of Real-Time 3-D Mapping in Large-Scale GNSS-Denied Environments J. Li et al. https://doi.org/10.1109/TGRS.2023.3275307
6. Deep learning based computer vision under the prism of 3D point clouds: a systematic review K. Tychola et al. https://doi.org/10.1007/s00371-023-03237-7