Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/51796
Title: Developing operation algorithms for vision subsystems in autonomous mobile robots
Authors: Shikhman, M. V.
Shidlovskiy, S. V.
Keywords: алгоритмы; зрение; автономные роботы; мобильные роботы; изображения; опорные векторы; препятствия
Issue Date: 2018
Publisher: IOP Publishing
Citation: Shikhman M. V. Developing operation algorithms for vision subsystems in autonomous mobile robots / M. V. Shikhman, S. V. Shidlovskiy // IOP Conference Series: Materials Science and Engineering. — Bristol : IOP Publishing, 2018. — Vol. 363 : Cognitive Robotics : II International Conference, 22–25 November 2017, Tomsk, Russian Federation : [proceedings]. — [012019, 5 p.].
Abstract: 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.
URI: http://earchive.tpu.ru/handle/11683/51796
Appears in Collections:Материалы конференций

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