Road Detection Using Data From Mobile Robot Camera
Alternative metrics PlumXhttp://hdl.handle.net/11012/138163
MetadataShow full item record
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.
Keywordsroad detection, image processing, neural network, machine learning, obstacle avoidance
Document typePeer reviewed
SourceProceedings of the 24th Conference STUDENT EEICT 2018. s. 44-46. ISBN 978-80-214-5614-3
- Student EEICT 2018