A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Adaptive real-time road detection using neural networks
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.
Adaptive real-time road detection using neural networks
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.
Adaptive real-time road detection using neural networks
Foedisch, M. (author) / Takeuchi, A. (author)
2004-01-01
528884 byte
Conference paper
Electronic Resource
English
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