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A Fast Learning Method for Accurate and Robust Lane Detection Using Two-Stage Feature Extraction with YOLO v3
To improve the accuracy of lane detection in complex scenarios, an adaptive lane feature learning algorithm which can automatically learn the features of a lane in various scenarios is proposed. First, a two-stage learning network based on the YOLO v3 (You Only Look Once, v3) is constructed. The str...
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| Wydane w: | Sensors (Basel) |
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| Główni autorzy: | , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6308794/ https://ncbi.nlm.nih.gov/pubmed/30563274 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18124308 |
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