Nowdays we are witnessing the technology
transforming everything the way we used to do things and how the
automobile industry is transforming itself with the use of
technology IOT,Artificial intelligence,Machine
learning.Companies shifting its products and its utilities in
diferent way and they now want to acquire and introduce level-5
autonomous to future generation and big automobile companies
are trying to achieve autonomous vechicles and we have researhed
about the model that will help in assisting autonomous vechicles
and trying to achieve that.We will develop this model with help of
technologies like Artificial intelligence,Machine learning,Deep
learning.Autonomous vehcicles will become a reality on our roads
in the near future. However, the absence of a human driver
requires technical solutions for a range of issues, and these are
still being developed and optimised. It is a great contribution for
the automotive industry which is going towards innovation and
economic growth. If we talking about some past decade the
momentum of new research and the world is now at the very
advanced stage of technological revolution.
“Autonomous-driving” vehicles. The term Self-driving cars,
autonomous car, or the driverless cars have different name with
common objective. The main focus is to keep the human being out
of the vehicle control loop and to relieve them from the task of
driving. Everyday automotive technology researchers solve
challenges. In the future, without human assistance, robots will
produce autonomous vehicles using IoT technology based on
customer needs and prefer that these vehicles are more secure and
comfortable in mobility systems such as the movement of people
or goods.
We will build a deep neural network model that can classify
traffic signs present in the image into different categories. With
this model, we are able to read and understand traffic signs which
are a very important task for all autonomous vehicles .This model
we have tested it and resulted in 95% accuracy.