Week Date Topic Slides Tutorial Related Videos Other Info
1 Sept 1 First class
2 Sept 8 Introduction to Autonomous Vehicles [Intro to AVs]
3 Sept 13 Tools Last year's class Start Exercise 1 - Setup
3 Sept 15 Architectures and Engineering Last year's class Discuss Project Ideas
4 Sept 20 Representations Representations Representations notebook Last year's class
4 Sept 22 Modeling pdf slides Encoders notebook
Odemetry notebook 		Last year's class
5 Sept 27 CANCELED
5 Sept 29 Control Intro to Control PID control notebook Last year's class pt 1
Last year's class pt 2		 Start Exercise 2 - Braitenberg
6 Oct 4 Projective Geometry Projective Geometry Pinhole camera notebook
Homographies notebook
Camera calibration notebook		 Exercise 1 - Setup due Oct. 4
6 Oct 6 Image Processing Image Processing Image processing notebook Start Exercise 3 - Control
7 Oct 11 THANKSGIVING
7 Oct 13 Correcting for schedule Exercise 2 - Braitenberg Due Oct 13
8 Oct 18 READING WEEK Start Exercises 4 - Visual Servoing
Exercise 3 - Control Due Oct 20
9 Oct 25 Kalman Filter (James Forbes) Kalman Filter Last year's class
9 Oct 27 Filtering and State Estimation State Estimation Last year's class
10 Nov 1 Deep Learning for Perception Intro to Advanced Perception Intro to CNNs notebook
 Last year's class
10 Nov 3 SLAM (Krishna Murthy) Intro to SLAM Last year's class
11 Nov 8 Planning Planning Collision checker exercise
Path planning exercise		 Last year's class pt 1
Last year's class pt 2 		Exercise 4 - Visual Servoing, due Nov. 9
11 Nov 10 Imitation Learning Imitation Learning DAgger AI-DO baseline Last year's class Start Exercise 5 - Object Detection
Bonus Exercise - Submit to AI-DO
12 Nov 15 Uncertainty (Ali Harakeh) Introduction to Uncertainty
12 Nov 17 Reinforcement Learning Intro to RL RL Notebook Start Exercise 6 - State Estimation
13 Nov 22 Simulation and Sim2Real Simulation and Sim2Real Last year's class
13 Nov 24 Guest Lecture (Glen Berseth) Exercise 5 - Object Detection due Nov. 24
14 Nov 29 Student-led discussion: Place recognition (Alex, Paul, and Maxime A.) Papers to read: [1], [2], [3]
Bonus Exercise - AI-DO due Nov. 30
14 Dec 1 Student-led discussion: RL task dynamics (Ali, Brahim, and Maxime F.) Papers to read: [1] and [2]
Exercises 6 - State Estimation Due Dec. 1
15 Dec 6 Student-led discussion: Visual Odometry (Julia, Adrien, and Baptiste) Papers to read: Deep VO and CTCNet
15 Dec 8 Student-led discussion: Imitation Learning (Dmytro, Pierre-Luc, and Valliapan) Papers to read: ThriftyDagger, CIL, DART
16 Dec 13 Student-led discussion: Self-supervised (Sacha, Wei, and Miguel) Papers to read: SimCLR, BYOL, DINO
16 Dec 15 Student-led discussion: Simulation (Dave, Petr, and Pascal) Papers to read: [1], [2]
Project implementation and report due Dec. 31 (Submit here)

The class schdule from last year