In this paper, a method for navigation of self-driving vehicles is proposed. Although the
research for this problem has been performed for several years, we noticed that the elevated …

In this paper, a monocular vision-based self-driving car prototype using Deep Neural
Network on Raspberry Pi is proposed. Self-driving cars are one of the most increasing …

The implementation of self-driving cars will change human lives. Such systems require huge
computing power and big datasets. There exists an emulator generating the desired number …

The vehicle is the most facility for business and living in the present. The vehicle is used in
abundant activities, which lead to an increasing number of accidents on the roads. Many …

Recently brilliant evolutions in the machine learning research area of autonomous self-
driving vehicles. Unlike a modern rule-based method, this study has been supervised on the …

Computer vision in self-driving vehicles can lead to research and development of futuristic
vehicles that can mitigate the road accidents and assist in a safer driving environment. By …

A convolutional neural network (CNN) approach is used to implement a level 2 autonomous
vehicle by mapping pixels from the camera input to the steering commands. The network …

An end to end method predicting decisions by using deep learning method to mimic driving
behaviors from observed images information is one of the famous methods for developing …

Self driving vehicle is capable of sense the surrounding environment with the help of
sensors and fulfill the transportation without any human control. It is a promising technology …

A car that can navigate by itself without being dependent on human for inputs is known as a
self-driving car. There has been a great advancement in automobile industry which is …