Support Vector Machines for Road Images Recognition in Autonomous Car

This paper presents performance of Support Vector Machines (SVMs) for recognizing road images. All images are collected by our car. They are divided into 4 classes turn left, turn right, forward and stop. We use 90% of them for training and use 10% for testing a model. An accuracy of model is about 70.77%.