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Traffic Sign Inventory from Google Street View Images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tsai, Victor J. D. Chen, Jyun-Han Huang, Hsun-Sheng |
| Copyright Year | 2016 |
| Abstract | Abstract. Traffic sign detection and recognition (TSDR) has drawn considerable attention on developing intelligent transportation systems (ITS) and autonomous vehicle driving systems (AVDS) since 1980’s. Unlikely to the general TSDR systems that deal with real-time images captured by the in-vehicle cameras, this research aims on developing techniques for detecting, extracting, and positioning of traffic signs from Google Street View (GSV) images along user-selected routes for low-cost, volumetric and quick establishment of the traffic sign infrastructural database that may be associated with Google Maps. The framework and techniques employed in the proposed system are described. |
| Starting Page | 243 |
| Ending Page | 246 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| DOI | 10.5194/isprs-archives-XLI-B4-243-2016 |
| Alternate Webpage(s) | http://www.ce.nchu.edu.tw/Pic/Writings/14636705092076(1).pdf |
| Alternate Webpage(s) | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/243/2016/isprs-archives-XLI-B4-243-2016.pdf |
| Alternate Webpage(s) | https://doi.org/10.5194/isprs-archives-XLI-B4-243-2016 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |