Fiches de cours

Deep learning for autonomous vehicles

CIVIL-459

Enseignant(s) :

Alahi Alexandre Massoud

Langue:

English

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

Introduction to AI-driven systems

2. Sensing modalities

3. Perceiving: how to extract meaningful information from raw data?

                - Intro to machine learning (fundamentals to regression and classification)

                - Intro to deep learning (Neural Network, CNN, regularization techniques)

                - State-of-the-art techniques for localisation, detection, and tracking objects in the context of autonomous vehicles.

4- Predictive models

                - Intro to Recurrent Neural Networks

                - Learning to clone socially-accepted human behavior

5- Acting: challenges and ethical impacts

 

Students will implement perception tasks for autonomous vehicles and participate to a human-robot tandem race.

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:

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
    • Crédits
      4
    • Matière examinée
      Deep learning for autonomous vehicles
    • Cours
      2 Heure(s) hebdo x 14 semaines
    • Exercices
      2 Heure(s) hebdo x 14 semaines
    • Semestre
       Printemps
    • Forme de l'examen
       Pendant le semestre
    • Crédits
      4
    • Matière examinée
      Deep learning for autonomous vehicles
    • Cours
      2 Heure(s) hebdo x 14 semaines
    • Exercices
      2 Heure(s) hebdo x 14 semaines
    • Semestre
       Printemps
    • Forme de l'examen
       Pendant le semestre
    • Crédits
      4
    • Matière examinée
      Deep learning for autonomous vehicles
    • Cours
      2 Heure(s) hebdo x 14 semaines
    • Exercices
      2 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     
En construction
 
      Cours
      Exercice, TP
      Projet, autre

légende

  • Semestre d'automne
  • Session d'hiver
  • Semestre de printemps
  • Session d'été
  • Cours en français
  • Cours en anglais
  • Cours en allemand