Autonomous vehicle research has grown exponentially over the years with researchers
working on different object detection algorithms to realize safe and competent self-driving …

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 …

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 …

The automotive industry and researchers have recently shown an interest in autonomous
vehicles. In an autonomous vehicle, different technologies may be used. Radio Detection …

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 …

Recent advancements in artificial intelligence (AI) have greatly improved the object
detection capabilities of autonomous vehicles, especially using convolutional neural …

Object detection is a computer vision task that has become an integral part of many
consumer applications today such as surveillance and security systems, mobile text …

Especially in recent years, unmanned aerial vehicles (UAV) have been used in many
platforms for military, commercial and entertainment purposes. Thanks to high computational …

For safe autonomous driving, deep neural network (DNN)-based perception systems play
essential roles, where a vast amount of driving images should be manually collected and …

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