Text
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) | Available |
No other version available