Tentative Course Schedule*

Week Date Topics
1 Aug 22 Intro
Aug 24 State of Autonomous Driving
2 Aug 29 Embedded Systems Fundamentals
Aug 31 Real-Time Systems Fundamentals
3 Sep 5 Tesla Autopilot
Sep 7 Automotive Embedded Computation Platforms
4 Sep 12 Static Unicore Scheduling
Sep 14 Machine Learning Frameworks
5 Sep 19 no class
Sep 21. Caio Batista de Melo: ML papers related to autonomous driving
6 Sep 26 Dynamic Unicore Scheduling
Sep 28 NVIDIA Cuda and Drive
7 Oct 3 Multicore and Distributed Real-Time Scheduling
Oct 5 First Exam
8 Oct 10 no class
Oct 12 Real-Time GPU Scheduling
9 Oct 17 GPU Papers related to autonomous driving
Oct 19 Real-Time Operating Systems
10 Oct 24 Power-aware embedded computing
Oct 26 Papers on power/energy in embedded systems/autonomous driving
11 Oct 30 Resource sharing under real-time constraints
Nov 2. Incremental/continual learning for autonomous driving
12 Nov 7 Higher-level reasoning for autonomous driving
Nov 9 Vehicle-to-vehicle communication and coordination
13 Nov 13 V2X papers
Nov 16. Vehicular fog and cloud computing
14 Nov 21 Papers on flog/cloud computing for autonomous driving
Nov 23 no class
15 Nov 28 project presentations
Nov 30 review and last homework/project due date
16 Dec 5 3:00pm Second Exam

*This schedule is tentative and subject to change.