The concept of the paper was inspired by the recent surge in the automated car industry.
The designed car was capable of detecting the road signals and taking the right and left …

Intelligent transportation systems have acknowledged a ration of attention in the last
decades. In this area vehicle classification and localization is the key task. In this task the …

Automobiles have become widely used in the transportation sector and the increase in the
number of vehicles have caused traffic monitoring and surveillance tough. Vehicle detection …

Self-driving cars are the latest innovation in which the car runs by itself. The self-driving cars
can be called as autonomous cars. This involves many technologies like artificial …

In recent years, many companies are working on the development of autonomous cars.
Every citizen on the planet is concerned about their safety. In the framework of Advanced …

With the emergence of Self-Driving Cars and Intelligent Transport Systems, Vehicle
detection and Tracking is highly essential for various civilian and military applications …

Object detection using deep learning over the years became one of the most popular
methods for implementation in autonomous systems. Autonomous vehicle requires very …

In this study, vehicle detection was performed using Convolutional Neural Networks (CNNs).
A comparative study of three different types of CNNs such as R-CNN, Fast R-CNN and …

The concept of neural networks has existed for over decades but was never considerably
acknowledged as much as of today. The main reason happens to be “data.” To analyze a …

The current paper is based on the Nature Deep Review paper written by Yann LeCun,
Yoshua Bengo and Geoffrey Hinton, which makes an introduction to the concept of Deep …