Automatic moving vehicle detection plays a crucial and challenging role in performing
intelligent traffic surveillance. Numerous research projects aiming to perform proper …

Every year, the number of vehicles on the road will be increasing. as claimed by a road
transport department (JPJ) data in Malaysia, there were around 31.2 million units of motor …

The field of autonomous driving is going to be the face of the automobile industry very soon.
The number of accidents that take place because of human error currently is very high and it …

Object detection and recognition is an integral part of Computer Vision. It has a multitude of
applications ranging from character recognition to video analysis. Object detection now play …

Object detection has seen many changes in algorithms to improve performance both on
speed and accuracy. By the continuous effort of so many researchers, deep learning …

In this paper, we address the problem of car detection from aerial images using
Convolutional Neural Networks (CNN). This problem presents additional challenges as …

Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …

Unmanned Aerial Vehicles are increasingly being used in surveillance and traffic monitoring
thanks to their high mobility and ability to cover areas at different altitudes and locations …

Deep learning field has progressed the vision-based surround perception and has become
the most trending area in the field of Intelligent Transportation System (ITS). Many deep …

In recent years, the deep learning object detection algorithms using 2D images have
become the powerful tools for road object detection in autonomous driving. In fact, the deep …