Abstract
Roads are becoming deterioration in everywhere. In some places, traffic marks painted on roads are damaged thus needed to be updated. Municipalities must manage road condition and traffic marks (road painting). It is the municipalities task to manage those roads using, for example, special inspection cars and human eyes. However, the management cost is high if a city contains many roads. This paper proposes a mechanism that automates this management. Our idea is to leverage cameras attached to garbage trucks, which run through the entire city almost everyday. The mechanism collects road images and detects damaged traffic marks using an image recognition algorithm. This paper shows the algorithm and reports the benchmark results. The benchmark showed that the mechanism can detect the damaged traffic marks with 76.6% precision.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015 |
| Publisher | ICST |
| Pages | 226-233 |
| Number of pages | 8 |
| ISBN (Print) | 9781631900723 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015 - Coimbra, Portugal Duration: 2015 Jul 22 → 2015 Jul 24 |
Other
| Other | 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015 |
|---|---|
| Country/Territory | Portugal |
| City | Coimbra |
| Period | 15/7/22 → 15/7/24 |
Keywords
- Camera
- Car
- Image processing
- Smart sensing
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Computational Theory and Mathematics
- Software