Autonomous driving object detection using ACF
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 seman...
| Published in: | Инноватика-2021 : сборник материалов XVII Международной школы-конференции студентов, аспирантов и молодых ученых, 22-23 апреля 2021 г., г. Томск, Россия С. 164-167 |
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| Format: | Book Chapter |
| Language: | English |
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| Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000846377 Перейти в каталог НБ ТГУ |
| Summary: | 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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| Bibliography: | Библиогр.: 3 назв. |
| ISBN: | 9785936296710 |