Prof. Thrun was part of the team that used laser range-finders to assist the image stitching in StreetView. Since both sensors (rangefinders and cameras) were mounted on a mobile vehicle, wheel odometry and GPS "ground truth" must have been available at each waypoint as well.
The author of the post suggested that Google might have used the GPS data (and possibly rangefinders) to create a simulated world to teach the self-driving car (useful for testing new tweaks?). This is a good idea and probably did not take them a lot of effort given the available log of data from StreetView.
Thanks for this timeline. This matches my impression.
As further evidence that the driverless car concept was getting attention well before street view matured, remember that Sebastian Thrun led the Stanford team in the 2005 grand challenge. See:
- 2007: Street View released
- 2007: DARPA Urban Challenge
- After 2007: Google hires several of the teams that won. This is where they got most of their expertise in self driving cars.
- Also note that the Urban Challenge winners didn't rely on "lots of data" but instead "lots of sensors"
Not really a fan of this type of random speculation.
http://en.wikipedia.org/wiki/DARPA_Grand_Challenge
http://en.wikipedia.org/wiki/Google_Street_View