Coursera course. Self Drving Cars Specialization.
- Implemented longitudinal (PID) and lateral (Model Predictive Control) vehicle control to ensure that the car follows a predefined path along a racetrack in the CARLA simulator
- Developed a full vehicle state estimator using an error-state extended Kalman filter that incorporates GPS, IMU, and LIDAR measurements to determine the vehicle pose
- Built an environment perception stack, using a semantic segmentation neural network for lane estimation and object detection to alert the car about the position and category of obstacles