Original title: Road Detection Using Data From Mobile Robot Camera
Authors: Peška, Jaroslav
Document type: Papers
Language: slo
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: The paper is focused on developing a road detection algorithm that uses only data from a mobile robot’s camera. Key requirements are low latency and relatively low power requirements. Presented algorithm makes use of machine learning, where the neural network is fed not only image data, but also select additional inputs.
Keywords: image processing; machine learning; neural network; obstacle avoidance; road detection
Host item entry: Proceedings of the 24th Conference STUDENT EEICT 2018, ISBN 978-80-214-5614-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/138163

Permalink: http://www.nusl.cz/ntk/nusl-393349


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
 Record created 2019-03-14, last modified 2021-08-22


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