Stanford Code From Cars That Entered DARPA Grand Challenges

This code is legit (see other comment; download the tar and try to forget you ever visited Sourceforce) and incredibly interesting. I browsed this repo a year ago and still come back to it every so often. The architecture decisions that the Stanford team made in 2005 and 2007 have stood the test of time (at least as evidenced by many of the decisions in the architecture of our Voyage car, but anecdotally in others too).<p>Learn more with this paper on Junior, which uses this codebase: <a href="http:&#x2F;&#x2F;robots.stanford.edu&#x2F;papers&#x2F;junior08.pdf" rel="nofollow">http:&#x2F;&#x2F;robots.stanford.edu&#x2F;papers&#x2F;junior08.pdf</a>

<a href="https:&#x2F;&#x2F;github.com&#x2F;emmjaykay&#x2F;stanford_self_driving_car_code" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;emmjaykay&#x2F;stanford_self_driving_car_code</a>

&gt; Stanford Made Available Code From Cars That Entered Darpa Challenges<p>That&#x27;s oddly worded. The wording makes it sound like it&#x27;s the code from numerous different cars in the challenge, and not just Stanford&#x27;s entry, but the site wording and the source structure itself look to be a single system.<p>Then again, the code is from 2011, so I guess the past tense is somewhat justified...

This looks like an updated version of the DARPA Urban Challenge code. It uses ROS extensively, and ROS was only started in 2007. The files are all dated 2011.<p>Not for use at high altitudes. From &quot;perception&#x2F;trafficlights&#x2F;src&#x2F;traffic_light_view.cpp:<p><pre><code> sprintf(lightBuffer,&quot;%f %f %f&quot;, currPose.latitude, currPose.longitude, currPose.altitude); </code></pre> Yes, it&#x27;s debug code.<p>The perception end of things is mostly digesting the point cloud from the Velodyne LIDAR. There&#x27;s vision code for traffic light recognition, but I haven&#x27;t found other vision code yet.

Since when does anyone post things on sourceforge anymore? It makes me wonder how legitimate this is...

Interesting that they used ROS. I am surprised it was baked enough back then to be useable on a self driving car project.

Patiently waiting for Animats to tell an interesting story about this code :)