ECE 495 - Autonomous Vehicles
Autonomous driving system overview; computer vision basics, deep learning for perception, motion modelling and state estimation, localization and mapping, object tracking, behavioral planning and reinforcement learning, path planning and vehicle control, safety and verification and validation, adoption and impact.
Prerequisites
Level at least 3B Computer Engineering or Electrical Engineering
Offerings
Winter 2026 [1261]
| Section | Class | Enrolled | Time | Days | Location | Instructor |
|---|
| LAB 201 | 5132 | 48 / 140 | | | | |
| LEC 001 | 5050 | 48 / 140 | 16:00 - 17:20 | W | | |
| TUT 101 | 5051 | 48 / 140 | 19:00 - 19:50 | Th | | |
Winter 2025 [1251]
| Section | Class | Enrolled | Time | Days | Location | Instructor |
|---|
| LAB 201 | 5326 | 65 / 140 | | | | |
| LEC 001 | 5236 | 65 / 140 | 16:00 - 17:20 | W | | |
| TUT 101 | 5237 | 65 / 140 | 19:00 - 19:50 | Th | | |
Winter 2024 [1241]
| Section | Class | Enrolled | Time | Days | Location | Instructor |
|---|
| LAB 201 | 5379 | 40 / 140 | | | | |
| LEC 001 | 5272 | 40 / 140 | 14:30 - 15:50 | M,F | | |
| TUT 101 | 5273 | 40 / 140 | 17:30 - 18:20 | Th | | |
Winter 2023 [1231]
| Section | Class | Enrolled | Time | Days | Location | Instructor |
|---|
| LAB 201 | 8268 | 99 / 140 | | | | |
| LEC 001 | 5411 | 99 / 140 | 14:30 - 15:50 | M,F | E7 5353 | Krzysztof Czarnecki |
| TUT 101 | 5412 | 99 / 140 | 08:30 - 09:50 | Th | E7 5353 | |
Winter 2022 [1221]
| Section | Class | Enrolled | Time | Days | Location | Instructor |
|---|
| LEC 001 | 7971 | 87 / 140 | 10:00 - 11:20 | T | E7 5353 | Krzysztof Czarnecki |
| TUT 101 | 7972 | 87 / 140 | 11:30 - 12:20 | F | E7 5353 | |
Winter 2021 [1211]
| Section | Class | Enrolled | Time | Days | Location | Instructor |
|---|
| LEC 041 | 9115 | 115 / 120 | 16:00 - 17:20 | M,F | | Krzysztof Czarnecki |
UW Flow Ratings
Liked: 66.67%
Easy: 35.71%
Useful: 67.86 %
ECE 495 leads to