110 http://isa.epfl.ch/imoniteur_ISAP/ itffichecours.txt?path=EPFL.Etu.FicheCours.HeaderFR itffichecours.txt?path=EPFL.Etu.FicheCours.GlobalNav_js fr 2026 2018328089 2018328089 2305107546 2305107546 1 0 Robotique, controle et systemes intelligents (edoc) EDRS !itffichecours.htm?ww_i_matiere=2502482624&ww_x_anneeAcad=2305107546&ww_i_section=2018328089&ww_i_niveau= 1696552884 1696552963 2024-2025 COURSE BOOKLET CIVIL-459 Deep learning for autonomous vehicles Deep learning for autonomous vehicles Lecturers Alahi Alexandre Language of teaching English Cursus Civil Engineering(2024-2025, GC - Master 2023)
Civil Engineering(2024-2025, GC - Master 2024)
Civil engineering minor(2024-2025, Mineur : Génie civil 2024-25)
Electrical and Electronics Engineering(2024-2025, EL - Master 2023)
Electrical and Electronics Engineering(2024-2025, EL - Master 2024)
Robotics(2024-2025, MT_RO - Master 2023)
Robotics(2024-2025, MT_RO - Master 2024)
Robotics, Control and Intelligent Systems (edoc)(2024-2025, EDRS 2024-25)
SemesterMand.OptionFilières
x
Ex
MA2, MA4x
MA2, MA4xC
 Credits 6 Session Summer Workload 180h Exam During the semester Number of positions Semester Spring Weeks 14 Hours 6 weekly
Courses 2 weekly
Exercises 4 weekly
Study planSemesterMand.OptionFilières
EDRS - Robotics, Control, and Intelligent Systems 2024-25x
Génie civil 2024-25MA2xC
Génie civil 2024-25MA4xC
Génie électrique et électronique 2024-25MA2x
Génie électrique et électronique 2024-25MA4x
Mineur : Génie civil 2024-25Ex
Robotique 2024-25MA2xC
Robotique 2024-25MA4xC
Cursus Sem. Type
Civil Engineering MA2, MA4 Opt.
Civil engineering minor E Opt.
Electrical and Electronical Engineering MA2, MA4 Opt.
Robotics, Control and Intelligent Systems Opt.
Robotics MA2, MA4 Opt.
Summary Deep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects, make predictions, and make decisions. (Fun fact: this summary is powered by DL) Content

 

1. Introduction:

- Defining Autonomous Vehicles, Artificial Intelligence, Machine Learning, and Deep learning

- Overview of the 3 pillars of Autonomous Vehicles: Perception, Prediction, Planning

- Quick overview of sensing modalities

2. Deep learning for Perception (how to extract meaningful information from raw data?)

- Quick recap on the fundamentals of machine learning (fundamentals of regression and classification)

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

- State-of-the-art techniques (e.g., Self supervised learning, Vision Transformer)

3- Deep learning for Prediction

- Intro to Recurrent Neural Networks

- Learning to clone socially-accepted human behavior

- State-of-the-art techniques (e.g., Graph Neural Network, Transformer, Diffusion...)

3- Deep Learning for Planning

4- Beyond Deep Learning: role of ethics

- How to integrate ethical decisions?

 

 

 

 

 Keywords

Deep Learning, Autonomous Vehicle, Artificial intelligence, Machine learning, Self-driving car, human-robot tandem race

 Learning Prerequisites Required courses
  • Knowledge of Python
  • Understanding of linear algebra and calculus
  • Introductory knowledge of Machine Learning concepts
 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
 Transversal skills
  • Set objectives and design an action plan to reach those objectives.
  • Communicate effectively, being understood, including across different languages and cultures.
  • Demonstrate the capacity for critical thinking
 Teaching methods

Ex cathedra

 Expected student activities
  • Attend lectures and participate in discussions
  • Complete weekly programming assignments
  • Work on hands-on projects to apply deep learning techniques to autonomous vehicle tasks
  • Engage in group projects and present findings
  • Participate in a final project showcasing the application of deep learning in autonomous vehicles
 Assessment methods

- Lab projects (Individual): 30%

- Midterm (Individual): 30%

- Final project (in group): 40%

 

 Supervision Office hours Yes Assistants Yes Forum Yes Others Online Platform: Access to course materials, forums for discussion, and submission portals for assignments Resources Virtual desktop infrastructure (VDI) No Notes/Handbook

Online Resources: Access to online courses, tutorials, and documentation for deep learning frameworks

 Moodle Link Prerequisite for
  • Advanced Courses: This course prepares students for more advanced topics in AI, robotics, and control systems
  • Industry Roles: Equips students with skills relevant for careers in autonomous vehicle development, robotics engineering, and AI research
  • Research Projects: Provides a foundation for conducting research in deep learning applications within the field of autonomous systems
 Génie civil, 2024-2025, Master semestre 2 Civil Engineering, 2024-2025, Master semester 2 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 2 MA2 ETE Master semester 2 MA2 Génie civil GC Civil Engineering GC
Génie civil GC Civil Engineering GC
C optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
4 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
2502482624 Deep learning for autonomous vehicles Deep learning for autonomous vehicles 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Génie civil, 2024-2025, Master semestre 4 Civil Engineering, 2024-2025, Master semester 4 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 4 MA4 ETE Master semester 4 MA4 Génie civil GC Civil Engineering GC
Génie civil GC Civil Engineering GC
C optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
4 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
2502482624 Deep learning for autonomous vehicles Deep learning for autonomous vehicles 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Génie électrique et électronique, 2024-2025, Master semestre 2 Electrical and Electronics Engineering, 2024-2025, Master semester 2 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 2 MA2 ETE Master semester 2 MA2 Génie électrique et électronique EL Electrical and Electronics Engineering EL
Génie électrique et électronique EL Electrical and Electronics Engineering EL
optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
4 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
2502482624 Deep learning for autonomous vehicles Deep learning for autonomous vehicles 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Génie électrique et électronique, 2024-2025, Master semestre 4 Electrical and Electronics Engineering, 2024-2025, Master semester 4 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 4 MA4 ETE Master semester 4 MA4 Génie électrique et électronique EL Electrical and Electronics Engineering EL
Génie électrique et électronique EL Electrical and Electronics Engineering EL
optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
4 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
2502482624 Deep learning for autonomous vehicles Deep learning for autonomous vehicles 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Robotique, 2024-2025, Master semestre 2 Robotics, 2024-2025, Master semester 2 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 2 MA2 ETE Master semester 2 MA2 Robotique MT_RO Robotics MT_RO
Microtechnique MT Microengineering MT
C optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
4 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
2502482624 Deep learning for autonomous vehicles Deep learning for autonomous vehicles 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Robotique, 2024-2025, Master semestre 4 Robotics, 2024-2025, Master semester 4 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 4 MA4 ETE Master semester 4 MA4 Robotique MT_RO Robotics MT_RO
Microtechnique MT Microengineering MT
C optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
4 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
2502482624 Deep learning for autonomous vehicles Deep learning for autonomous vehicles 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Mineur en Génie civil, 2024-2025, Semestre printemps Civil engineering minor, 2024-2025, Spring semester Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Semestre printemps E ETE Spring semester E Mineur en Génie civil MIN_GC Civil engineering minor MIN_GC
optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
4 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
2502482624 Deep learning for autonomous vehicles Deep learning for autonomous vehicles 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Robotique, contrôle et systèmes intelligents (edoc), 2024-2025 Robotics, Control and Intelligent Systems (edoc), 2024-2025 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Robotique, contrôle et systèmes intelligents (edoc) EDRS Robotics, Control and Intelligent Systems (edoc) EDRS
optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
4 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Alahi Alexandre Massoud 129343
Génie civil GC Civil Engineering GC
2502482624 Deep learning for autonomous vehicles Deep learning for autonomous vehicles 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
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