2014 Ford F150 Xlt on 2040-cars

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What an Atlas-based Ford F-150 might look like

Just ahead of January's Detroit Auto Show, surprising rumors pegged Ford as revealing some sort of F-150 concept, perhaps as a hurried effort to deflate some of the buzz building around General Motors' new Chevrolet Silverado and GMC Sierra twins, which were also making their auto show debut. Those rumblings turned out to be true, as Ford rolled into the Motor City with its Atlas concept (inset, right), touting the truck's bold styling as a precursor to the next-generation F-Series.
The show truck featured all kinds of clever details, including active wheel shutters and a front air dam that raised and lowered to improve aerodynamics while preserving off-road ability. It also had a genuinely snarly face. And it's that pugnacious snout that may well be on its way to production. The good folks at TopSpeed have worked up the plausible-looking artist's rendering above by cross-referencing the Atlas concept with what little has been revealed from recent spy shots. The look is toned-down pretty dramatically from the concept truck, but its Atlas roots are clear, with a massive three-bar grille and bracket-shaped headlamps hiding a next-generation EcoBoost engine. In the rendering, the show truck's deeply contoured hood and roofline have been ditched and larger, more traditional side mirrors have been fitted - all likely concessions in the move to production sheetmetal.
While Ford has yet to officially announce when it will unveil the 2015 F-150, all signs point to next year's Detroit Auto Show - one year after the Atlas shrugged off GM's new pickups.

IIHS Crash-tests Expose American Muscle Cars' Weaknesses | Autoblog Minute

Turns out American muscle cars aren?t that strong according to IIHS crash tests. The Insurance Institute for Highway Safety put three iconic American sports cars through a range of performance crash tests. Chevrolet Dodge Ford Autoblog Minute Videos Original Video crash test camaro challenger

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.