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Titel:

Change detection in street environments based on mobile laser scanning: A fuzzy spatial reasoning approach

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Gehrung, Joachim; Hebel, Marcus; Arens, Michael; Stilla, Uwe
Abstract:
Automated change detection based on urban mobile laser scanning data is the foundation for a whole range of applications such as building model updates, map generation for autonomous driving and natural disaster assessment. The challenge with mobile LiDAR data is that various sources of error, such as localization errors, lead to uncertainties and contradictions in the derived information. This paper presents an approach to automatic change detection using a new category of generic evidence grid...     »
Stichworte:
Change detection, Spatial information representation, Evidence grids, Fuzzy logic, LOCenter, LOCTop_Data_Generation_and_Object_Reconstruction
Zeitschriftentitel:
ISPRS Open Journal of Photogrammetry and Remote Sensing
Jahr:
2022
Band / Volume:
5
Seitenangaben Beitrag:
100019
Volltext / DOI:
doi:10.1016/j.ophoto.2022.100019
WWW:
https://www.sciencedirect.com/science/article/pii/S2667393222000084
Print-ISSN:
2667-3932
Semester:
SS 22
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