Towards an approach for knowledge-based road detection
Proceedings of the 2005 ACM workshop on Research in knowledge representation for autonomous systems
Remote video monitor of vehicles in cooperative information platform
CDVE'09 Proceedings of the 6th international conference on Cooperative design, visualization, and engineering
An embedded road crack detection system in a cooperative platform
CDVE'10 Proceedings of the 7th international conference on Cooperative design, visualization, and engineering
Keeping the vehicle on the road: A survey on on-road lane detection systems
ACM Computing Surveys (CSUR)
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The Intelligent Systems Division of the National Institute of Standards and Technology has been engaged for several years in developing real-time systems for autonomous driving. A road detection program is an essential part of the project. Previously we developed an adaptive road detection system based on color histograms using a neural network. This, however, still required human involvement during the initialization step. As a continuation of the project, we have expanded the system so that it can adapt to the new environment without any human intervention. This system updates the neural network continuously based on the road image structure. In order to reduce the possibility of misclassifying road and non-road, we have implemented an adaptive road feature acquisition method.