Over the last decade, researchers and the car industry became very active in the
deployment of driverless cars as they can greatly increase safety of the vehicle, rate of traffic …

In the field of autonomous driving, it is important to protect vulnerable road users (VRUs) and
ensure the safety of autonomous driving effectively by improving the detection accuracy of …

Autonomous vehicles utilize a large amount of data from Machine Learning, Neural
networks, Image recognition systems for building the techniques that can drive …

A real-time collision detection system has become a crucial safety feature in vehicles today,
mainly after the evolution of autonomous and self-driving vehicles. It is proved to be very …

The crucial challenge in autonomous intelligent vehicles is multi-object tracking, classifying,
and locating in a variety of traffic conditions. Car makers and academic researchers are …

Due to huge advances in high-performance computing hardware, artificial intelligence and
its subcategory machine-learning have gained a very significant importance in many fields …