Road Sign Recognition with Lane Detection

In this project, road sign detection is the process of finding and classifying objects in an image. Road and traffic signs, traffic lights and other traffic devices are used to regulate, warn, guide or inform road users. They help achieve an acceptable level of road traffic quality and increase safety with orderly and predictable movement of all traffic, both vehicular and pedestrians.

 One deep learning approach, regions with convolutional neural networks (R-CNN), combines rectangular region proposals with convolutional neural network features. R-CNN is a two-stage detection algorithm. The first stage identifies a subset of regions in an image that might contain an object and the second stage classifies the object in each region. 

This may improve to detect the road signs are designed to be easily recognized by drivers mainly because their shapes and colors are readily distinguishable from their surroundings.

Keywords: Road sign detection, Region based convolution neural network (RCNN), region proposals.