Series
deep reinforcement learning used in self driving cars
Everyone wants to know which one is better. Honestly, that's not where you should start. Tesla sells you a car. Waymo sells you a ride. Comparing them directly is like comparing a running shoe to a ta
Part 1 was Tesla vs Waymo, and by the end of it I'd landed on Tesla, mostly because of how the two scale. But somewhere in my own head after publishing that, I realised I'd boxed myself into a pretty
After going through the self-driving landscape, Tesla, Waymo, BYD, and the rest, covered in the first two parts of this series, I spent a couple of weeks studying the architecture and approach compani
After going through the theory, I didn't want to just jump into code. I wanted a base to build on first, a shape for the whole thing before I touched a single line of Python. So the first question I h
Part 4 was the reasoning that got me to an architecture on paper. This part is what happened once I actually tried to build it, which turned out to be a very different exercise. Most of Part 4 was "wh
Everything in Part 5 worked. The pipeline ran end to end, LIDAR in, occupancy grid out, latent vector through the actor, continuous steering and throttle out the other side. Then I actually let it tra