2008 Ford Mustang Gt on 2040-cars

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Watch this awesome R/C car chase scene made with cardboard and glue

It never ceases to amaze us how much video production talent you can find on YouTube, especially when considering movies like Battleship actually exist on the silver screen. It's even better, of course, when cars are involved, which is why we can't stop watching this car chase between a pair of radio controlled Ford Mustangs.
Racing through a detailed set built in the middle of a public street using just "cardboard, hot glue and spray paint," this video is possibly even greater than The Greatest R/C Car Chase Ever that we saw last year. With the exception of a fruit stand and/or a plate-glass window being carried across the street, this has all the makings of a classic cliché chase scene.
Scroll down to watch the scaled-down action ensue as well as the full-scale conclusion.

Ford car-camo artist works his craft on Australia's new Falcon XR8

Ford is among the kings of concealment when it comes to test cars. On one recent Mustang SVT mule, the automaker went to the extreme of putting baffles over the exhausts to hide how many there were. Sounds like a lot of work, right? In a new video, the Blue Oval has decided to take fans behind the scenes to show them what it takes to camouflage a prototype. In this case the subject was the recently unveiled 2014 Falcon XR8 for Australia.
Ford's prototype build coordinator Down Under has the very appropriate name of Neil Trickey, and it's his job to obfuscate the important bits of test cars to keep them out of spy shooters' camera lenses. Trickey calls his job a "dark art," and he shows off some of the tricks of his trade in the video. It turns out that the fabric we often see on mules is a type of lycra, but his team isn't above getting out a can of spray paint to conceal parts, too.
Scroll down to watch a video about a man who you probably wish could be a little worse at his job.

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.