- Introduction to Self-Driving Cars
- State Estimation and Localization for Self-Driving Cars
- Visual Perception for Self-Driving Cars
- Motion Planning for Self-Driving Cars
- Understand the detailed architecture and components of a self-driving car software stack.
- Implement methods for static and dynamic object detection, localization and mapping, behavior and maneuver planning, and vehicle control.
- Use realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes.
- Demonstrate skills in CARLA and build programs with Python.