基于神经网络的自适应实时道路检测

Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI:10.1109/ITSC.2004.1398891

Mike Foedisch, Aya Takeuchi

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引用次数: 65

摘要

我们开发了一种基于神经网络的自适应实时道路检测应用，用于自动驾驶。利用道路图像的独特结构，可以在系统运行的同时进行网络训练。该算法采用了从颜色直方图中提取的颜色特征。我们着重于系统的自动适应，减少了人工道路标注。

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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.

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Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)

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