With the development of automatic driving technology, traffic sign detection has become a very important task. However, it is challenging task because complex scene and small size target. In recent years, number convolutional neural network (CNN) based object methods have brought great progress to detection. Considering still high false rate, as well time overhead computational overhead, effect...

T. S. Rosenstock ([email protected]) and P. H. Brown, Dept of Plant Sciences, Univ. of California, Davis, Davis, CA 95616, USA. Present address for TSR: Agricultural Sustainability Inst., Univ. of California, Davis, Davis, CA 95616, USA. – A. Hastings and D. J. Lyles, Dept of Environmental Science and Policy, Univ. of California, Davis, Davis, CA 95616, USA. – W. D. Koenig, Lab of Ornitho...

Colour and shape are basic characteristics of traffic signs which are used both by the driver and to develop artificial traffic sign recognition systems. However, these sign features have not been represented robustly in the earlier developed recognition systems, especially in disturbed viewing conditions. In this study, this information is represented by using a human vision colour appearance ...

This paper deals with object recognition in outdoor environments. In this type of environments, lighting conditions cannot be controlled and predicted, objects can be partially occluded, and their position and orientation is not known a priori. The chosen type of objects is traffic or road signs, due to their usefulness for sign maintenance, inventory in highways and cities, Driver Support Syst...