ppt on ai in self drivinf cars

1. A Seminar
on
Role of A I in Self-Driving Cars
By : Ritik

2. Introduction to
AI in Self-
Driving Cars
• AI helps cars drive
without human control.
• It makes decisions using
sensors and cameras.
• Self-driving cars use AI
to follow traffic rules
and avoid accidents.

3. History of Self-Driving Cars
1920s-1950s: First ideas about automatic cars.
1980s: First tests with Al in driving.
2000s: Al technology improved with new research.
2010s: Companies Like Google and Tesla started using Al in cars.
2020s: Some cities use self-driving taxis.

4. Concept of Self-
Driving Cars
• Self-driving cars use AI,
sensors, and cameras to drive.
• They process data in real time to
make driving decisions.
• The goal is to improve safety
and convenience.

5. What is AI?
• AI stands for Artificial Intelligence.
• It allows machines to think and act
like humans.
• Self-driving cars use AI to understand
roads and traffic.

7. Main Components of AI in Cars

8. Sensors in Self-
Driving Cars
• 1. LIDAR: Uses lasers to
measure distance.
• 2. Radar: Detects objects and
speed.
• 3. Ultrasonic: Helps in parking
and close objects.

11. Machine Learning in Self-Driving Cars
• Machine Learning helps cars learn from experience.
• The car improves driving by analyzing past data.
• AI makes the car smarter over time.

12. Neural Networks
• AI uses neural networks like a human brain.
• It helps recognize patterns like stop signs or traffic signals.
• It improves decision-making based on past experiences.

13. Object Detection
• AI detects objects like cars, people, and
traffic lights.
• It uses sensors and cameras to recognize
them.
• This helps avoid collisions and follow
road rules.

14. Path Planning
• AI decides the best
route for the car.
• It calculates distance,
traffic, and road
conditions.
• It ensures the car
follows a safe and
efficient path.

16. Level 0: No
Automation
• The driver controls
everything.
• AI does not assist in
driving.
• Examples: Regular
cars without any
automation.

17. Level 1: Driver
Assistance
• AI assists with one function
like cruise control.
• The driver still controls
steering and braking.
• Example: Adaptive cruise
control in modern cars.

18. Level 2: Partial
Automation
• AI can control steering and
speed.
• The driver must stay alert and
ready to take over.
• Example: Tesla Autopilot.

19. Level 3: Conditional
Automation
• AI drives under specific
conditions.
• The driver can take hands off
but must be ready to
intervene.
• Example: Automated
highway driving.

20. Level 4: High
Automation
• AI controls the car in most
conditions.
• Human intervention is rarely
needed.
• Example: Robotaxis in test
cities.

21. Level 5: Full
Automation
• AI handles all driving with no
human control.
• No steering wheel or pedals
required.
• Example: Future fully
autonomous cars.

22. Challenges in Self-Driving Cars
• Detecting objects in bad weather.
• Understanding complex traffic situations.
• Making quick decisions in emergencies.
• Legal and safety concerns.

23. Advantages of Self-Driving Cars
• Reduces accidents caused by human error.
• Saves fuel and reduces pollution.
• Helps disabled and elderly people travel.
• Improves traffic flow and reduces congestion.

24. Disadvantages of Self-Driving Cars
• 1. Expensive technology increases car costs.
• 2. AI may fail in extreme weather conditions.
• 3. Hacking risks and cybersecurity threats.
• 4. Loss of jobs for drivers.

25. Self-Driving Car Testing
Companies test self-driving cars on real roads.
They collect data and improve AI decisions.
Tests help make AI safer before public use.

26. Companies Working on Self-Driving Cars
1. Tesla (Autopilot feature).
2. Google’s Waymo (Fully autonomous cars).
3. Uber (Self-driving taxis).
4. General Motors (Cruise project).

27. AI and Traffic Management
Self-driving cars
help reduce traffic
congestion.
1
AI predicts the
best routes to
avoid jams.
2
Smooth traffic
flow saves time
and fuel.
3

28. Safety Features in AI Cars
1. Automatic Emergency Braking.
2. Collision Avoidance System.
3. Lane Keeping Assistance.
4. Adaptive Cruise Control.

29. Ethical Issues of AI in Cars
Who is responsible
if a self-driving car
crashes?
Should AI prioritize
passenger safety
or pedestrians?
Laws and rules are
still being
developed.

30. Future of AI
in Self-
Driving
Cars
1. More advanced AI for better safety.
2. Fully autonomous taxis and delivery
vehicles.
3. AI-controlled smart traffic systems.

31. Conclusion
AI is the brain behind
self-driving cars.
It helps make roads
safer and transportation
easier.
More improvements
will lead to fully
autonomous driving.

32. Final Thoughts
SELF-DRIVING CARS
ARE THE FUTURE
OF TRANSPORT.
AI WILL KEEP
IMPROVING TO
MAKE THEM SAFER.
ONE DAY, ROADS
MAY BE FULL OF AI-
DRIVEN VEHICLES!