Weather Recognition Based on Images Captured by Vision System in Vehicle

Authors:
Xunshi Yan;Yupin Luo;Xiaoming Zheng
Affiliations:
Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing, China 100084;Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing, China 100084;INF Technologies, Ltd., Beijing, China 100086
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

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Abstract

Weather recognition is widely required in many areas, and it is also a challenging and brand-new subject. This paper proposes an approach to recognize weather based on images captured by in-vehicle vision system. We bring three groups of features, including histogram of gradient amplitude, HSV color histogram, road information, and employ an algorithm based on Real AdaBoost, making use of the category structure to achieve the task of classification. Experiments confirm superior performances on our dataset collected from images captured by vision system.