Abstract
Accurate and up-to-date inventories of lighting poles are of interest to energy companies, beneficial for the transition to energy-efficient lighting and may contribute to a more adequate lighting of streets. This potentially improves social security and reduces crime and vandalism during nighttime. This paper describes a system for automated surveying of lighting poles from street-level panoramic images. The system consists of two independent detectors, focusing at the detection of the pole itself and at the detection of a specific lighting fixture type. Both follow the same approach, and start with detection of the feature of interest (pole or fixture) within the individual images, followed by a multi-view analysis to retrieve the real-world coordinates of the poles. Afterwards, the detection output of both algorithms is merged. Large-scale validations, covering about 135 km of road, show that over 91% of the lighting poles is found, while the precision remains above 50%. When applying this system in a semi-automated fashion, high-quality inventories can be created up to 5 times more efficiently compared to manually surveying all poles from the images.
Original language | English |
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Title of host publication | Proceedings of the Winter conference on Applications of Computer Vision (WACV), 24-26 March 2014, Steamboat Springs, Colorado |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 129-136 |
DOIs | |
Publication status | Published - 2014 |
Event | conference; Winter Conference on Applications of Computer Vision; 2014-03-24; 2014-03-26 - Duration: 24 Mar 2014 → 26 Mar 2014 |
Conference
Conference | conference; Winter Conference on Applications of Computer Vision; 2014-03-24; 2014-03-26 |
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Period | 24/03/14 → 26/03/14 |
Other | Winter Conference on Applications of Computer Vision |