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Semantic segmentation pf pole-like road furniture in mobile laser scanning data
Research has been carried out on the recognition of pole-like road furniture, such as traffic signs and lamp post. So far, the proposed methods have mainly classifed road furniture as individual objects. However, most road furniture consists of a combination of clases, such as a traffic sign and a street light mounted on the same pole. Due to the recent developments in mobile laser scanners, more accurate data is available that allows for the segmentation of road furniture at a detailed level. Precise interpretation of road furniture in mobile laser scanning data still remains unexplored. To tackle this problem, we propose a three-stage framework to interpret road furniture at a more detailed level. Instead to being interpreted as single objects, obile laser scanning data of road furniture is decomposed in elements individually labeled as pole, street light, trafficc sign ectc
B20191104357 | DS 629.04 FAS s | Perpustakaan BIG (600) | Tersedia |
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