janhuenermann

Let's hope that macOS will soon support DualSense controllers too. Was a little disappointing to find out that Google Stadia on Mac does not work with these controllers.

From the project page:

We present a large-scale dataset that contains rich sensory information and full annotations. We recorded several suburbs of Karlsruhe, Germany, corresponding to over 320k images and 100k laser scans in a driving distance of 73.7km. We annotate both static and dynamic 3D scene elements with rough bounding primitives and transfer this information into the image domain, resulting in dense semantic & instance annotations on both 3D point clouds and 2D images.

Thanks for the feedback, I really appreciate the time you took to write this! Btw. being fairly new to sites like Hacker News and Reddit, I'm actually amazed by how nice this community is.

You are right, the write-up isn't meant for newbies to the topic. I'll definitely think about updating the intro to reflect that.

Regarding the ML series: aren't there already quite a few introductory series into the topic, which can be referred to? Because the text I wrote on the project page wasn't intended to be a guide of how to build a project like this, but rather to give a glimpse of how such an algorithm might work. But anyway I must say that I really like your concept of an interactive tutorial series. Maybe I'll write a guide to a project like this in the future; would also contribute if someone else does (to anyone out there).

Hi, I'm the creator of the project.

That's a good question. While training I have changed the obstacles, which means the cars can adapt to any map. The map you see on the published page is just there on page reload to make it easier for everyone to actually see the cars in action.

-Jan