A Comprehensive Survey on Free Parking Space, Road Signs and Lane Detection

Abstract

With growing traffic and poor management system, we have been dealing with a greater number of accidents. The chances of human errors are not reducing and neither the accidents are. Moreover, the dependence on technology to assist the humans in driving and parking seems inevitable now more than ever. The parking assistance system are helpful when a specific parking lot is not assigned or the assigned parking lot is not adequate for the car. Here we try to learn all the technologies which are tried and tested in this field. We review various literature available regarding the free parking space, lane detection and road signs detection. These research works have utilised some hybridized techniques mixing the data from hardware and software. We study the various convolutional networks like ResNet, VggNet and some self-designed neural networks. Furthermore, some of them used support vector machine (SVM), K-NN algorithms and so on. We further investigate their pre-processing, feature extraction and classification processes throughout this paper.