LiDAR Perception for ADAS and Autonomous Driving

A course by Dmitrii Khizbullin, 2020-2022.

See the docker setup instruction here.

Slides:

1. Module 1: Brief introduction to ADAS and Autonomous Driving
2. Module 2: Basic system setup
3. Module 3: Classical point cloud perception algorithms
   • Excercises
4. Module 4: Perception with neural networks
5. Module 5: Open datasets for autonomous driving
6. Module 6: Continuous deployment of machine learning models
7. Module 7: Compute platforms for autonomous driving

An example of clusterization and convex hull extraction: