Emergence of communication technologies made the automotive industries across the
globe to embrace Advanced Driver Assistance Systems (ADAS) by considerable …

In the modern era of Internet of Things (IoT) and Industry 4.0 there is a growing need for
intelligent microcontrollers that can collect, sense and analyse data effectively and …

Currently, deep learning and IoT collaboration is heavily invading automotive applications
especially in autonomous driving throughout successful assistance functionalities. Crash …

Few prior works study self-driving cars by deep learning with IoT collaboration. SDC-Net,
which is an end-to-end multitask self-driving car camera cocoon IoT-based system, is one of …

This paper presents a model which imitates human in all ways of driving without human
intervention be it recognizing the car states. It incorporates the car speed, position to track …

Convolutional Neural Networks get increasingly importance nowadays as they enable
machines to interact with the surrounding environment, which paves the way for computer …

As it is observed these days, the roads are crowded with different kinds of vehicles, and as a
result, accidents have become more dangerous every day. In this paper, a vehicle accident …

Convolutional neural network is a class of deep neural networks that has made a great
breakthrough in image recognition. CNNs are commonly used to detect and classify visual …

The phrase “intelligent device” refers to a package that contains either a full measurement
system or a component inside a measurement system that includes a digital processor. The …

The conventional A* algorithm consumes a lot of time due to its large number of iterations. In
every iteration, the memory is accessed for multiple data structures, functions are evaluated …