DETECTION AND CLASSIFICATION OF POLE-LIKE OBJECTS FROM MOBILE MAPPING DATA

23 citations as recorded by crossref.

1. Current Status of 3D Scanning, Recognition, and Modeling of Large Scale Environments H. MASUDA
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5. A Deep Neural Network With Spatial Pooling (DNNSP) for 3-D Point Cloud Classification Z. Wang et al.
6. Implementation of Object Detection Algorithms in the Inventory of Technical Infrastructure, Case Study of Utility Poles Detection M. Czyrzniak & J. Rapiński
7. Evaluation of Classification Performance of Pole-Like Objects from MMS Images Using Convolutional Neural Network and Image Super Resolution T. Mizoguchi
8. Automated Localization and Classification of Expressway Pole‐Like Road Facilities from Mobile Laser Scanning Data T. Thanh Ha et al.
9. Semantic segmentation of road furniture in mobile laser scanning data F. Li et al.
10. Supervoxel-Based Instance Segmentation of Pole-Like Facilities From Mobile Laser Scanning Data Using Pyramid Cascaded Fisher Vector Modeling L. Ye et al.
11. Hierarchical classification of pole‐like objects in mobile laser scanning point clouds R. Liu et al.
12. Comparative Analysis of Single-antenna and Dual-antenna GNSS Configurations in Mobile Mapping Systems A. Taweeyossak
13. Investigating the Impact of Training Data Set Selection for Pole-Like Object Classification in Mobile Laser Scanning Data K. Kenney & E. Che
14. Instance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data F. Li et al.
15. Part-Based Modeling of Pole-Like Objects Using Divergence-Incorporated 3-D Clustering of Mobile Laser Scanning Point Clouds Y. Huang et al.
16. Detection of Railway Masts in Airborne LiDAR Data M. Ariyachandra & I. Brilakis
17. Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: A State of the Art Review E. Che et al.
18. A Refined Extraction Method for Street Trees in Mobile Laser System Point Clouds Y. Zhou et al.
19. Frequent and Automatic Update of Lane-Level HD Maps with a Large Amount of Crowdsourced Data Acquired from Buses and Taxis in Seoul M. Cho et al.
20. Identification of pole-like structures from mobile lidar data of complex road environment M. Yadav et al.
21. Voxel-Based Extraction and Classification of 3-D Pole-Like Objects From Mobile LiDAR Point Cloud Data Z. Kang et al.
22. A multiclass TrAdaBoost transfer learning algorithm for the classification of mobile lidar data H. He et al.
23. Road object detection for HD map: Full-element survey, analysis and perspectives Z. Luo et al.