CIVIL-459 / 6 crédits

Enseignant: Alahi Alexandre Massoud

Langue: Anglais


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"

 


 

Dans les plans d'études

  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Deep learning for autonomous vehicles
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 4 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Deep learning for autonomous vehicles
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 4 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Deep learning for autonomous vehicles
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 4 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Deep learning for autonomous vehicles
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 4 Heure(s) hebdo x 14 semaines
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Deep learning for autonomous vehicles
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 4 Heure(s) hebdo x 14 semaines

Semaine de référence

 LuMaMeJeVe
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22