Present vision based driver assistance systems are designed to perform under good-natured weather conditions. However, limited visibility caused by heavy rain or fog strongly affects vision systems. To improve machine vision in bad weather situations, a reliable detection system is necessary as a ground base. We present an approach that is able to distinguish between multiple weather situations based on the classification of single monocular color images, without any additional assumptions or prior knowledge. The proposed image descriptor clearly outperforms existing descriptors for that task. Experimental results on real traffic images are characterized by high accuracy, efficiency, and versatility with respect to driver assistance systems.
Classification of weather situations on single color images
2008 IEEE Intelligent Vehicles Symposium ; 798-803
2008-06-01
572959 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Classification of Weather Situations on Single Color Images
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