Coursera notebook excercises from the Self-Driving Cars Specialization by the University of Toronto on Coursera
- Overview on the detailed architecture and components of a self-driving car software stack
- Implementing methods for static and dynamic object detection, localization and mapping, behaviour and maneuver planning, and vehicle control
- Testing realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes
- Python code tested on CARLA simulator