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Alpha 10 Audi R8 by AMS Beauty-Roll

For those of you paying attention, we've really ramped up the old Autoblog video game these days. Our new series Car Club USA joins Translogic and The List, and there are more Daily Drivers and Short Cuts than ever. But sometimes, all you care about is the car. The Autoblog Beauty-Roll video series has one goal: bring you glossy video images of cars, and nothing but. We're collecting moving pictures of all the cars we test, inside and out. Each episode comes with a hit of engine sound – start-up and with a few revs – to round out the package. Set your resolution to max, kick it into full-screen, turn up the sound, and enjoy today's subject, the Alpha 10 Audi R8 by AMS. Oh, and if you'd like more Beauty-Roll, click here to see the back catalog.

2016 Tech of the Year | Autoblog Minute

Deliberation on the winners of Autoblog's Tech of the Year Award is under way. Nominees for best car in 2016 are: the Tesla Model S, the Chevy Volt and the BMW 7 series. Nominees for best tech in 2016 are: Apple CarPlay, Android Auto, VW's MiB II with AppConnect, Ford Sync 3, Audi Virtual Cockpit, the Smart Cross Connect App, and Volvo Sensus. Autoblog's Chris McGraw reports on this edition of Autoblog Minute. Audi BMW Chevrolet Ford smart Tesla Volvo Technology of the Year Autoblog Minute Videos Original Video volt android auto ford sync 3

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