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 |
|---|---|
| Main Author: | |
| Other Authors: | |
| Format: | Book Chapter |
| Language: | English |
| Subjects: | |
| Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000846377 Перейти в каталог НБ ТГУ |
| LEADER | 02163naa a2200325 c 4500 | ||
|---|---|---|---|
| 001 | koha000846377 | ||
| 005 | 20230319234422.0 | ||
| 007 | cr | | ||
| 008 | 220210s2021 ru fs 100 0 eng d | ||
| 035 | |a koha000846377 | ||
| 040 | |a RU-ToGU |b rus |c RU-ToGU | ||
| 100 | 1 | |a Mohammed, M. J. |9 794294 | |
| 245 | 1 | 0 | |a Autonomous driving object detection using ACF |c M. J. Mohammed, S. V. Shidlovskiy |
| 336 | |a Текст | ||
| 337 | |a электронный | ||
| 504 | |a Библиогр.: 3 назв. | ||
| 520 | 3 | |a 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. | |
| 653 | |a автономное транспортное средство | ||
| 653 | |a глубокое обучение | ||
| 653 | |a обнаружение объектов | ||
| 653 | |a семантическая сегментация | ||
| 655 | 4 | |a статьи в сборниках |9 879352 | |
| 700 | 1 | |a Shidlovskiy, Stanislav V. |9 103946 | |
| 773 | 0 | |t Инноватика-2021 : сборник материалов XVII Международной школы-конференции студентов, аспирантов и молодых ученых, 22-23 апреля 2021 г., г. Томск, Россия |d Томск, 2021 |g С. 164-167 |z 9785936296710 |w koha000720907 | |
| 852 | 4 | |a RU-ToGU | |
| 856 | 4 | |u http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000846377 | |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=846377 | ||
| 908 | |a статья | ||
| 999 | |c 846377 |d 846377 | ||
| 039 | |||