2012 Ford E-150 Van With Wheelchair Lift (non Emergency Medical Transport) on 2040-cars

Auto blog

Shelby GT500 laps N"urburgring in under 7:40?

A couple of weeks ago we brought you footage and official times of the new Chevy Camaro Z/28 lapping the Nürburgring. With a 7:37.47 lap time, the Z/28 emerged as the fastest muscle car ever to lap the circuit. But what was missing from that picture was how fast the king of all Mustangs, the Shelby GT500, could manage to lap the Nordschleife.
Ford never released any information or footage of the GT500 on the Nürburgring that we were aware of - that is, until the guys at SVTPerformance.com put in a request for Mustang videos. Among the clips they received was never-seen, in-car footage of the Shelby GT500 lapping the circuit. And boy did it hustle.
Although not quite official, the video seems to show the GT500 lapped the venerated German track in a touch under 7:40. That would make it a tick or two faster than the Camaro ZL1 - but what of the Z/28? By Chevy's quoted time, the Z/28 is still faster than the GT500, but SVTPerformance suggests GM may have fudged the numbers a bit and scrubbed half a second or so off their lap time.

Ford looks back on 50 years of the Mustang in Detroit

Ford has something special sitting in its booth here at the 2014 Detroit Auto Show. In fact, it brought two special somethings in the form of the Ford Mustang 1 Concept that first saw the light of day in 1962 and the very first production Mustang that rolled off the production line in 1964.
These classic creations are sharing floor space with the brand-new 2014 Mustang in honor of the pony car's 50th Anniversary. Since Ford's latest 'Stang already made its auto show debut (at a number of locations, including Los Angeles), we think it's pretty cool that the Blue Oval did something special for its home-town show.
Check out both the Mustang 1 Concept and first production 1964.5 Mustang above and below.

Ford partnering with MIT, Stanford on autonomous vehicle research

Ask any car engineer what's the biggest variable in achieving fuel economy targets, and he'll tell you "the driver." If one human can't understand human driving behavior enough to be certain about an innocuous number like miles per gallon, how is an autonomous car supposed to figure out what hundreds of other drivers are going to do in the course of a day? Ford has enlisted the help of Stanford and the Massachusetts Institute of Technology to find out.
Starting with the automated Fusion Hybrid introduced in December, MIT will be developing algorithms that driverless cars can use to "predict actions of other vehicles and pedestrians" and objects within the three-dimensional map provided by its four LIDAR sensors.
The Stanford team will research how to extend the 'vision' of that LIDAR array beyond obstructions while driving, analogous to the way a driver uses the entire width of a lane to see what's ahead of a larger vehicle in front. Ford says it wants to "provide the vehicle with common sense" as part of its Blueprint for Mobility, preparing for an autonomous world from 2025 and beyond.