1964 Ford F100 Shortbed Restomod Pickup on 2040-cars

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2015 Ford Mustang [w/videos]

It'd be unwise to bet against the sixth generation of this legendary nameplate.
The 2015 Ford Mustang is assuredly the most anticipated new vehicle of the year. The redesigned Pony Car has been the subject of frantic gossiping and covert spy photos covering everything from the way it looks to the tech it will include, its performance, mechanicals and a bevy of other aspects of Ford's performance icon.

Chris Harris checks out Ken Block's Hoonicorn '65 Mustang

Ken Block's Hoonicorn, which stars in Gymkhana Seven, might still bear a passing resemblance to a vintage 1965 Ford Mustang, but underneath the skin, the car is one of the baddest custom machines to ever do a smoky burnout on the road. The ever enthusiastic British auto journalist Chris Harris is now showing what really makes Block's new ride tick on video, and Harris even gets to go for quite a ride. The only Mustang components really left on the Hoonicorn are the A-pillar, B-pillar and roof, according to Harris. Everything else is ditched to create Block's ultimate Gymkhana tool. The 845-horsepower, 6.7-liter Rousch Yates V8 sits behind the front axle, and the grunt is routed to all four wheels through a Sadev gearbox usually found on Dakar Rally vehicles. The whole drivetrain is packed with cool little touches; like that giant handbrake that also disconnects power from the front wheels when in use. The superlatives about the Hoonicorn could go on forever, but settle in and let a very excited Harris tell you about just some of them. He's like a kid in a candy store here, and the look that combines surprise, fear and joy during his ride with Block is the kind that lacks a suitable word in the English language.

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.