Title :
Adaptive real-time road detection using neural networks
Author :
Foedisch, Mike ; Takeuchi, Aya
Author_Institution :
Intelligent Syst. Div., Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
Abstract :
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.
Keywords :
feature extraction; image colour analysis; learning (artificial intelligence); neural nets; object detection; road vehicles; adaptive real time road detection; automatic adaptation system; autonomous driving; color feature algorithm; color histograms; manual road annotations reduction; network training; neural networks; road images; Adaptive systems; Feature extraction; Focusing; Histograms; Intelligent networks; Intelligent systems; NIST; Neural networks; Real time systems; Roads;
Conference_Titel :
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN :
0-7803-8500-4
DOI :
10.1109/ITSC.2004.1398891
