Engineering Mechanics

Proceedings Vol. 25 (2019)

ENGINEERING MECHANICS 2019

Copyright © 2019 Institute of Thermomechanics of the Czech Academy of Sciences, Prague

 

Krejsa J., Věchet S.:
pages 203 - 206, full text

Mobile robot on-road navigation requires fusion of both global and local sensory information with an emphasis on the road detection processing. The paper deals with the road detection based on convolution neural networks (CNN) using commonly available tools such as TensorFlow and Keras. The road is defined by its linear boundaries. Network output is formed by the road definition together with classification parameters and serves as a local sensor in Kalman filter based localization. CNN based road detection is currently capable to successfully detect about 90% of images.

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