Course Information

Autonomous Driving: Theory and Practices - Fall 2025

Course Information

  • Instructors: Prof. Songhwai Oh, Prof. Jungwoo Lee, Prof. Sungroh Yoon, Prof. Jun Won Choi
  • Course Number: M3621.000500
  • Time: T/Th 3:30-4:45PM
  • Location: Room 204, Building 301 (later in Building 300)

Course Description

This graduate-level course provides a comprehensive introduction to the theory and practices in autonomous driving. Autonomous driving technology is a key aspect of various automotive and mobility applications. The course covers essential topics for autonomous driving, including sensing, deep learning, decision making, reinforcement learning, and path planning. In addition, the course also provides students with an opportunity to build autonomous systems and apply theoretical knowledge to practical real-world problems.

RC Car Racing Contest

Announcements

Schedule

  • Week 1

    • 09/02: Introduction
    • 09/04: Deep learning (DL) history and introduction

  • Week 2

    • 09/09: ML basics – Linear regression
    • 09/11: Classification

  • Week 3

    • 09/16: Generalized Linear Models (GLM)
    • 09/18: Lab - RC Car Hardware Assembly

  • Week 4

    • 09/23: Introduction to deep learning
    • 09/25: Lab - VESC setup

  • Week 5

    • 09/30: Artificial neural network
    • 10/02: Lab - Jetson Xavier NX board setup

  • Week 6

    • 10/07: (Holiday) Computer vision models
    • 10/09: (Holiday) Lab

  • Week 7

    • 10/14: Sequence models
    • 10/16: Lab - Keyboard Control with ROS 2

  • Week 8

    • 10/21: (No Class) Perception for autonomous driving using point cloud
    • 10/23: Midterm

  • Week 9

    • 10/28: Camera technologies for autonomous driving
    • 10/30: Lab - Introduction to F1TENTH simulator

  • Week 10

    • 11/04: Markov decision processes, Reinforcement learning (RL), Behavior cloning 
    • 11/06: Lab - RC Car Calibration

  • Week 11

    • 11/11: Soft MDP, Sparse MDP, DQN
    • 11/13: Lab - Imitation Learning (Simulation)

  • Week 12

    • 11/18: TRPO, PPO, Maximum entropy RL
    • 11/20: Lab - Imitation Learning (Real)

  • Week 13

    • 11/25: Inverse RL (IRL), Maximum entropy IRL
    • 11/27: Lab - Reinforcement Learning 1: PPO / SAC (Simulation)

  • Week 14

    • 12/02: Survey: Autonomous driving | Lab - Reinforcement Learning (Real)
    • 12/04: Lab - Reinforcement Learning (Real)

  • Week 15

    • 12/09: Racing Contest
    • 12/11: Racing Contest

References