Autonomous driving object detection using ACF M. J. Mohammed, S. V. Shidlovskiy
Material type:![Article](/opac-tmpl/lib/famfamfam/AR.png)
Библиогр.: 3 назв.
In this work, we obtain a vehicle semantic understanding using their image features and a rule-based system. These features provide the vehicle spatial and temporal information. Vehicle spatial feature is obtained using an ACF network. The vehicle temporal information is obtained using a novel semantic segmentation framework. The statuses of the neighboring vehicles are categorized as «Carfollow » and «Car-avoid» also. We validate our proposed frame-work with multiple acquired sequences. Our experimental results show that the proposed framework can estimate the status of the different vehicles in the urban road environment in near real-time.
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