Self Driving Car Engineer

Notes from the 2017-2018 course

Term 1: Computer Vision

Lane line detection, vehicle detection, and convolutional neural networks.

Term 2: Sensor Fusion

Particle filters, Kalman filters (extended and unscented).

Term 3: Path Planning

Behavioral cloning, PID controller, and MPC controller.

Capstone

Worked in a team to create a self driving car using ROS and. Worked on traffic light state detection using Faster RCNN and deployed it to a ROS node for controlling car speed.

Course Opinions

Very thorough course. It focused more on the software engineering side. I would love to explore more sensor fusion from the hardware side which as of 2020 is a separate nanodegree.