POINT CLOUDS TO INDOOR/OUTDOOR ACCESSIBILITY DIAGNOSIS

8 citations as recorded by crossref.

1. 3D Point Cloud Semantic Modelling: Integrated Framework for Indoor Spaces and Furniture F. Poux et al. https://doi.org/10.3390/rs10091412
2. Realistic correction of sky-coloured points in Mobile Laser Scanning point clouds E. González et al. https://doi.org/10.1016/j.optlastec.2021.107807
3. Mobile Laser Scanning Data Collected under a Forest Canopy with GNSS/INS-Positioned Systems: Possibilities of Processability Improvements J. Čeňava et al. https://doi.org/10.3390/rs16101734
4. Curbside management from MLS and HMLS point clouds to CityGML 3.0 S. González-Collazo et al. https://doi.org/10.1080/10095020.2025.2454522
5. Recovering Missing Trajectory Data for Mobile Laser Scanning Systems M. Zhong et al. https://doi.org/10.3390/rs12060899
6. Detection of Direct Sun Glare on Drivers from Point Clouds S. González-Collazo et al. https://doi.org/10.3390/rs14061456
7. Introduction of the combination of thermal fundamentals and Deep Learning for the automatic thermographic inspection of thermal bridges and water-related problems in infrastructures I. Garrido et al. https://doi.org/10.1080/17686733.2022.2060545
8. Accessible Routes Integrating Data from Multiple Sources M. Luaces et al. https://doi.org/10.3390/ijgi10010007