Optimizing detection of road furniture (pole-like object) in Mobile Laser Scanner data

12 citations as recorded by crossref.

1. Detection of Pole-like Objects from LIDAR Data J. Landa & V. Ondroušek https://doi.org/10.1016/j.sbspro.2016.05.494
2. Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment M. Lehtomaki et al. https://doi.org/10.1109/TGRS.2015.2476502
3. Pole-Like Road Furniture Detection and Decomposition in Mobile Laser Scanning Data Based on Spatial Relations F. Li et al. https://doi.org/10.3390/rs10040531
4. Identification of pole-like structures from mobile lidar data of complex road environment M. Yadav et al. https://doi.org/10.1080/01431161.2016.1219462
5. Instance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data F. Li et al. https://doi.org/10.1109/TITS.2022.3157611
6. Hierarchical extraction of urban objects from mobile laser scanning data B. Yang et al. https://doi.org/10.1016/j.isprsjprs.2014.10.005
7. Automatic Recognition of Pole-Like Objects from Mobile Laser Scanning Point Clouds Z. Shi et al. https://doi.org/10.3390/rs10121891
8. Deep-Learning and Depth-Map Based Approach for Detection and 3-D Localization of Small Traffic Signs L. Liu et al. https://doi.org/10.1109/JSTARS.2020.2966543
9. An Adaptive End-to-End Classification Approach for Mobile Laser Scanning Point Clouds Based on Knowledge in Urban Scenes M. Zheng et al. https://doi.org/10.3390/rs11020186
10. Automatic Detection and Classification of Pole-Like Objects in Urban Point Cloud Data Using an Anomaly Detection Algorithm B. Rodríguez-Cuenca et al. https://doi.org/10.3390/rs71012680
11. Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: A State of the Art Review E. Che et al. https://doi.org/10.3390/s19040810
12. Semantic segmentation of road furniture in mobile laser scanning data F. Li et al. https://doi.org/10.1016/j.isprsjprs.2019.06.001