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Scene recognition under special traffic conditions based on deep multi-task learning
2020
The Journal of Engineering
Traffic scene recognition under special conditions is one of the most promising yet challenging tasks for autonomous driving systems. This study presents a deep multi-task classification framework for scene recognition involving special traffic conditions. The framework incorporates four learning tasks where the recognition of special traffic scenes is the chief task and the time of occurrence (daytime or night-time), the weather type and the road attribute are the three auxiliary tasks for
doi:10.1049/joe.2019.1191
fatcat:25qvpe2ur5ftdijk6qvf4kr3wq