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Chip Foose tastefully enhances his personal Ford GT

Typically, we'd expect a vehicle from 2006 to fall well short of a more modern vehicle, both in terms of performance and style. Of course, the Ford GT is not your average offering from the Bush era. That's doubly true when the 2006 GT in question belongs to one Chip Foose.
Purchased by his wife as a 50th birthday present, Foose is showing his custom, personalized GT at the 2014 SEMA Show. The 5.4-liter supercharged V8 breathes a bit easier thanks to a full Magnaflow Performance exhaust, but Foose's GT isn't all about the performance.
Instead, the car customizer extraordinaire has focused on tasteful aesthetic enhancement, tweaking the rear end by removing the bumper and trimming the frame extensions. The wheels, meanwhile, are one-off aluminum alloys, designed by Foose himself. Like the stripes, the wheels feature orange accenting.

Watch a drone try to land in back of a moving 2015 Ford F-150 at night

Automotive stunts don't always have to make sense; they just have to look cool. Does it really prove anything about the bed lighting in the 2015 Ford F-150 to attempt to land a drone back there while driving at night? Probably not, but Ford Canada wants to find out anyway, because the trick looks good on film. Chris Bacik is an expert at flying drones and even builds his own to use for his aerial cinematography company. As Ford Canada's very serious narrator intones, the question now is whether he can use those piloting skills to land on a moving F-150 in the dark. To make things even harder, the night of the stunt is quite windy. Even if the video demonstrates little about the truck's capabilities, it's fun to see if Bacik can do accomplish the feat. Related Video:

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.