Developing operation algorithms for vision subsystems in autonomous mobile robots; IOP Conference Series: Materials Science and Engineering; Vol. 363 : Cognitive Robotics
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 363 : Cognitive Robotics.— 2018.— [012019, 5 p.] |
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| Sumario: | Title screen The paper analyzes algorithms for selecting keypoints on the image for the subsequent automatic detection of people and obstacles. The algorithm is based on the histogram of oriented gradients and the support vector method. The combination of these methods allows successful selection of dynamic and static objects. The algorithm can be applied in various autonomous mobile robots. |
| Lenguaje: | inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://doi.org/10.1088/1757-899X/363/1/012019 http://earchive.tpu.ru/handle/11683/51796 |
| Formato: | Electrónico Capítulo de libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=658783 |
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| 200 | 1 | |a Developing operation algorithms for vision subsystems in autonomous mobile robots |f M. V. Shikhman, S. V. Shidlovskiy | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 9 tit.] | ||
| 330 | |a The paper analyzes algorithms for selecting keypoints on the image for the subsequent automatic detection of people and obstacles. The algorithm is based on the histogram of oriented gradients and the support vector method. The combination of these methods allows successful selection of dynamic and static objects. The algorithm can be applied in various autonomous mobile robots. | ||
| 461 | 1 | |0 (RuTPU)RU\TPU\network\2008 |t IOP Conference Series: Materials Science and Engineering | |
| 463 | 1 | |0 (RuTPU)RU\TPU\network\26822 |t Vol. 363 : Cognitive Robotics |o II International Conference, 22–25 November 2017, Tomsk, Russian Federation |o [proceedings] |v [012019, 5 p.] |d 2018 | |
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| 610 | 1 | |a автономные роботы | |
| 610 | 1 | |a мобильные роботы | |
| 610 | 1 | |a изображения | |
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| 701 | 1 | |a Shidlovskiy |b S. V. | |
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