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A few pre-race notes and a lot of photos from the 24 Hours of Le Mans

The 82nd running of the 24 Hours of Le Mans is on.
Audi has won 12 of the last 15 events, the scion of Auto Union is trying to make it 13 this year. To do so, it will have to overcome a situation faced only three other times during its dominance of La Sarthe: underdog status. Toyota has won the first two races of the year and claimed pole for this race, the rumor being that this year it's Toyota's race to lose.
And then there's Porsche. It's been 16 years since the Stuttgart brand raced on the top rung at Le Mans, three years years since it announced its return, just a year since it acquired Mark Webber in a signing that wasn't subtle and a few months since we got eyes on the 919 Hybrid.

Race Recap: 2013 Griffin King of the Hammers, and notes from a dry lake bed [w/video]

It was a local guy from 90 miles away who beat them all...
The image above shows 129 Ultra4 racing rigs lined up for the start of the 2013 Griffin King of the Hammers. In case you missed Part One that explains why they're there and why they might be doing the most difficult and absurd one-day off-road race in the world, check it out. After a week of races in other events and two days of qualifying for the big show, the men and women who made it in were lined up to do three laps of a course around the 140,000-acre Johnson Valley OHV area in California's San Bernardino County.

Watch Stanford's self-driving Audi hit the track

Sending a self-driving race car around a track with nobody inside seems pointless – there's no driver to enjoy the ride, and the car certainly isn't getting a thrill out of it. But the students performing research with Stanford University's Audi TTS test rig "Shelley" (not to be confused with Audi's own self-driving race cars) are getting a kick out of the numbers generated by the machine. "A race car driver can use all of a car's functionality to drive fast," says Stanford Professor Chris Gerdes. "We want to access that same functionality to make driving safer." The teams push the car to speeds over 120mph and the computers have executed lap times nearly as fast as professional drivers. However, they also spend a lot of time maneuvering at 50 to 75 mph, the speeds where accidents are most likely to happen. That way, the students can figure out how to incorporate braking, throttle and maneuvering to develop new types of automatic collision avoidance algorithms. Better technology, for instance, could have saved Google from a recent slow-speed accident where its vehicle was struck by a bus. During race days, students break into teams to perform different types of research. "Once you get to the track, things can go differently than you expect. So it's an excellent lesson of advanced planning," says Gerdes. In the latest rounds of testing, for instance, one PhD student developed emergency lane-change algorithms, while another recorded a skilled human driver in an attempt to convert his behavior into a driving algorithm. The main goal, of course, is to prepare students for something they may not have expected -- an automotive industry that is adopting self-driving technology at breakneck speeds. This article by Steve Dent originally ran on Engadget, the definitive guide to this connected life. Green Audi Technology Coupe Autonomous Vehicles Racing Vehicles Performance Videos racecar research