Self-supervised multi-task learning framework for safety and health-oriented road environment surveillance based on connected vehicle visual perception
Cutting-edge connected vehicle (CV) technologies have drawn much attention in recent years. The real-time traffic data captured by a CV can be shared with other CVs and data centers so as to open new possibilities for solving diverse transportation problems. The trajectory data of CVs have been well...
| Auteurs principaux: | , |
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| Format: | Article |
| Langue: | English |
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Elsevier
2024-04-01
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| Collection: | International Journal of Applied Earth Observations and Geoinformation |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S1569843224001079 |