F1TENTH Syllabus 2024 (Public)

	A	B	C	D	E	F	G
1	Date	Day	Lecture	Lecture Topic	Tutorial	Assignments Out	Assignments Due
2				Module A: Introduction to ROS, F110 & the Simulator
3	1/22	M	1	Intro to Autonomous Driving: Perception, Planning Control [Slides] [Video]	T1: Intro to ROS 2 [Slides] [Video]	Lab 1: ROS 2 (individual)
4	1/24	W	2	Automatic Emergency Braking [Slides] [Video]	T2: Intro to F1Tenth Sim [Repo][Video]	Lab 2: Automatic Emergency Braking
5	1/29	M	3	Rigid Body Transforms [Slides] [Video]	T3: ROS2 and tf2 [Slides]		Lab1
6				Module B: Reactive Methods
7	1/31	W	4	PID for Wall Following [Slides] [Video]	T4: Getting to know the car and battery & safety [Slides]	Lab 3: Wall Following
8	2/2	F	-	Friday Reciation: Continue on setting up the car	T4 continued, odom tuning, remote desktop, etc. [Slides]
9	2/5	M	5	Follow the Gap: Obstacle Avoidance [Slides] [Video]	T4 continued	Lab 4: Follow the Gap	Lab 2
10	2/7	W	6	Vehicle States and Vehicle Dynamics [Slides] [Video]	T4 continued, cars hands on
11				Module C: Mapping & Localization
12	2/12	M	7	State Estimation and Filtering [Slides] [Video]	Race Preparation Office Hours (OH)		Lab 3
13	2/14	W	8	Localization: Particle Filter [Slides] [Video]	Race Preparation Office Hours (OH)
14	2/19	M		Race 1 prepare	Race Preparation Office Hours (OH)
15	2/21	W		Race 1: Reactive Racing			Lab 4
16	2/23	F	-	Friday Reciation: Code review & Discussion for race 1
17	2/26	M	9	Introduction to Graph-based SLAM [Slides] [Video]	T5: Running slam_toolbox and pf [Slides]	Lab 5: SLAM & Pure Pursuit
18				Module D: Planning & Control
19	2/28	W	10	Pure Pursuit [Slides] [Video]
20	3/4	Spring Break
21	3/6	Spring Break
22	3/11	M	11	Local Planning: RRT, Spline Based Planner [Slides] [Video]	OH	Lab 6: Motion Planning
23				Module E: Vision
24	3/13	W	12	Classical Perception [Slides] [Video]			Lab 5
25	3/18	M	13	Machine Learning Perception [Slides] [Video]	OH	Lab 7: Perception & Vision
26				Module D(continued): Planning & Control
27	3/20	W		Final Project Overviews [Slides] [2023 Projects]	OH		Lab 6
28	3/25	M	14	Optimization & Control I: Optimization Basics and LQR [Slides] [Video]		Lab 8: MPC
29	3/27	W	15	Optimization & Control II: Model Predictive Control [Slides] [Video]	T6: Introduction to Optimization	Debate: Ethics for AVs
30	4/1	M		Race 2: Racing with map			Lab 7
31	4/3	W		Final Project Discussions
32	4/8	M	16	Ethics - Moral Decision Making with Autonomous Systems [Slides] [Video]			Debate (before lecture) + Final Project Proposal
33				Module F: Special Topics
34	4/10	W	17	Raceline Optimization [Slides] [Video]	T7: F1Tenth on Foxglove	Final Project	Lab 8
35	4/15	M	18	Reinforcement Learning and Imitation Learning [RL slides, IL slides]		Final Project
36	4/17	W	19	Special Topic: Srikanth Sraipalli - Off-road driving and racing		Final Project
37	4/22	M	20	Special Topic 2: xLAB Autonomous Racing Research [Video]		Final Project
38	4/24	W		Race 3 prepare		Final Project
39				Module G: F1TENTH Grand Prix!!
40	4/29	M		Final Race Day
41	5/1	W	21	AV4EV Autonomous Electric Go-Kart Project in Pennovation [Slides]
42	5/9	T		Project Demos			Final Project Demo
43	5/12	S		Final Project Documentation Submission Deadline			Project report submission
44				Note: Demos and Final project dates are firm. No extensions.
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