A course by Dmitrii Khizbullin, 2020-2022.
See the docker setup instruction here.
Slides:
- Module 1: Brief introduction to ADAS and Autonomous Driving
- Module 2: Basic system setup
- Module 3: Classical point cloud perception algorithms
- Module 4: Perception with neural networks
- Module 5: Open datasets for autonomous driving
- Module 6: Continuous deployment of machine learning models
- Module 7: Compute platforms for autonomous driving
An example of clusterization and convex hull extraction:
