Developing operation algorithms for vision subsystems in autonomous mobile robots

Bibliografiske detaljer
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 363 : Cognitive Robotics.— 2018.— [012019, 5 p.]
Hovedforfatter: Shikhman M. V.
Institution som forfatter: Национальный исследовательский Томский политехнический университет (ТПУ)
Andre forfattere: 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.
Sprog:engelsk
Udgivet: 2018
Fag:
Online adgang:https://doi.org/10.1088/1757-899X/363/1/012019
http://earchive.tpu.ru/handle/11683/51796
Format: Electronisk Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=658783

MARC

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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. 
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