Summary

Self-driving cars, delivery robots, or self-moving segways. Most of these AI-driven transportation systems rely on four pillars: 1-Sensing, 2-Perceiving, 3-Predicting, and 4-Acting steps. Students will learn the fundamentals behind these four pillars, i.e., the technology behind autonomous vehicles.

Content

Keywords

Deep Learning, Autonomous Vehicle, Artificial intelligence, Machine learning, Self-driving car

Learning Prerequisites

Required courses

Fundamentals in Analysis, Linear algebra, Probability and Statistics.

Programming skills.

Learning Outcomes

By the end of the course, the student must be able to:

• Define the fundamental steps behind an AI-driven system
• Design the building steps of an autonomous vehicle
• Implement an algorithm for each step
• Explain and understand the challenges and ethical impacts

Teaching methods

Ex cathedra

Assessment methods

 Lab projects (in group): 30%

Midterm: 30%

Final project (in group): 40%

Prerequisite for

"Le contenu de cette fiche de cours est susceptible d'être modifié en raison du covid-19"