Adaptive Real-Time Road Detection Using Neural Networks
M Foedissch, A Takeuchk
We have developed an adaptive real-time road detection application based on Neural Networks for autonomous driving. By taking advantage of the unique structure in road images, the network training can be processed while the system is running. The algorithm employs color features derived from color histograms. We have focused on the automatic adaptation of the system, which has reduced manual road annotations by human.
Proceedings of the 7th International IEEE Conference on Intelligent Transportation Systems
and Takeuchk, A.
Adaptive Real-Time Road Detection Using Neural Networks, Proceedings of the 7th International IEEE Conference on Intelligent Transportation Systems, Washington DC, MD, USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822511
(Accessed December 9, 2023)