It gives a brief description of the application of AI in autonomous vehicles and it's working.

1. AUTONOMOUS
VEHICLES AND AI
A Self Driving vehicle is a car or some other
vehicle which is capable of sensing it’s
environment and moving with little or no
human input.

2. Overview

3. WHAT IS ARTIFICIAL INTELLIGENCE ?
AI is defined as the ability of a computer program or machine to
think, learn and make decisions. In general use, the term means a
machine which mimics human cognition.
Deep learning technology, which is a technique for implementing
machine learning (an approach to achieve AI), is expected to be the
largest and the fastest-growing technology in the automotive AI
market. It is currently being used in voice recognition, voice search,
recommendation engines, sentiment analysis, image recognition and
motion detection in autonomous vehicles.

4. How Does AI Work in Autonomous Vehicles?
01 Simulating the computer process with the human intelligence
For eg - Whatever the human is able to do , think and react to
particular situations, we are able to simulate the same thinking
with the vehicles in the real time.
02
As the amount of information being fed into telematics systems
grows, vehicles will be able to capture and share not only
internal system status and location data but also the changes in
its surroundings, all in real time.

5. AI Perception Action Cycle in
Autonomous Vehicles
A repetitive loop, called Perception Action Cycle, is
created when the autonomous vehicle generates
data from its surrounding environment and feeds it
into the intelligent agent, who in turn makes
decisions and enables the autonomous vehicle to
perform specific actions in that same environment.

6. 3 main components of the Perception Cycle
:
1. Component 1:
In-Vehicle Data Collection & Communication Systems
2. Component 2:
Autonomous Driving Platform (Cloud)
3. Component 3:
AI-Based Functions in Autonomous Vehicles

8. Semantic Segmentation
- The process of identifying and classifying objects from sensor data is
known as semantic segmentation.
DETAIL :-
For human adults, they are trained to recognise patterns from
birth – this is a slightly abstract concept; we see an image of a car
and instinctively know what it is, even if we don’t know what
exactly it is.
For computers, however, this poses a significant challenge. The
system has to recognise that, say, a small change in an object
property could determine an absolutely different class at first.

9. This is an illustration of how an deep neural network classifies the different objects .
For eg - Cars, Cycles
Essentially, what it does is feed the data into the mass of interconnected neurons – each of which
can have tens of thousands of connections to the others – and then compare the observed output
to the target. Over successive iterations the network refines itself, changing the strength of certain
connections until the input exactly matches the desired output

10. Is there more to come ?
Artificial intelligence, especially
neural networks and deep learning,
have become an absolute necessity
to make autonomous vehicles
function properly and safely.
AI is leading the way for the launch
of Level 5 autonomous vehicles,
where there will be no need for a
steering wheel, accelerator or
brakes.

11. Thanks !!
To Everyone.