Developing operation algorithms for vision subsystems in autonomous mobile robots

Developing operation algorithms for vision subsystems in autonomous mobile robots

Detalles Bibliográficos
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 363 : Cognitive Robotics.— 2018.— [012019, 5 p.]
Autor Principal: Shikhman M. V.
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ)
Outros autores: Shidlovskiy S. V.
Summary: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.
Publicado: 2018
Subjects:
электронный ресурс
труды учёных ТПУ
алгоритмы
зрение
автономные роботы
мобильные роботы
изображения
опорные векторы
препятствия
Acceso en liña: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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