Introduction to AI in Automotive
Module 1: Overview of AI in Automotive
What is AI? Understanding its
basics and applications.
Role of AI in transforming the
automotive industry.
Key AI technologies in
automotive systems (Machine Learning, Computer Vision).
Module 2: AI for Advanced Driver Assistance
Systems (ADAS)
ADAS overview and components.
Computer vision and AI for
object detection and lane tracking.
Hands-free driving and
AI-powered safety features.
Module 3: Autonomous Vehicles
AI technologies enabling
self-driving cars.
Sensor fusion and data
processing in autonomous vehicles.
Ethical and legal challenges
in autonomous systems.
AI Applications and Challenges in Automotive
Module 4: Predictive Maintenance and Vehicle
Diagnostics
Role of AI in predictive
analytics for automotive.
Machine learning for detecting
vehicle faults and preventing failures.
Case study
Module 5: AI in Manufacturing and Supply Chain
Applications of AI in
automotive manufacturing processes.
AI for optimizing the supply
chain and quality control.
Industry use cases of AI in automotive
production.
Module 6: Enhancing Customer Experience with AI
AI in infotainment systems and
personalized user experiences.
Virtual assistants and natural
language processing in vehicles.
Challenges in integrating AI
with existing automotive systems.
Interactive Components
Group Discussions:
Identifying AI opportunities in automotive innovation.
Case Studies: Real-world scenarios
on AI applications in autonomous driving and manufacturing.
Collaborative Activities:
Proposing AI-driven solutions for specific automotive challenges.
Hands-On Labs
