Road Detection Using Data From Mobile Robot Camera

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eeict2018-44.pdf(1.14 MB)
Date
2018
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Mark
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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.
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Keywords
road detection, image processing, neural network, machine learning, obstacle avoidance
Citation
Proceedings of the 24th Conference STUDENT EEICT 2018. s. 44-46. ISBN 978-80-214-5614-3
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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sk
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/138163
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Student EEICT 2018
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