The density of vehicles on roads has increased manifold over the last few decades. A
seamless system to detect and track a particular vehicle can solve many problems, like traffic …

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 …

Assessing traffic surveillance data is a prevalent utilization of deep learning methodologies.
Video processing techniques were employed to develop the system aimed at determining …

With the increasing number of vehicles on the road every day, tracking every vehicle can be
difficult in today's world. Due to the tremendous diurnal development of vehicle assiduity, it is …

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 …

We study the significance of artificial intelligence (AI) as machine learning, deep learning,
and data mining in self-driving vehicle research and development as assessed by patents …

Vehicle tracking is an integral part of intelligent traffic management systems. Previous
implementations of vehicle tracking used Global Positioning System (GPS) based systems …

The vehicle detection is the backbone of the urban surveillance systems, which is used to
obtain and identify the various statistics of the urban vehicular mobility. Also the urban …

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 …

Given the increase in population, vehicle tracking is no longer practical. Both time and
resources are wasted in doing it. The enormous daily growth in the automotive industry has …