2006 Ford Taurus Sel Sedan 4-door 3.0l on 2040-cars

Auto blog

Ford cleans up painting process with cameras

Knowing how the bacon gets made rarely entices us and, in the same vein, the same usually goes for knowing about how new cars get painted. But in both instances, however, quality - or a lack thereof - is instantly obvious. In terms of the latter, Ford is showing off its new paint quality process with 3D Dirt Detection Technology to find imperfections in vehicle paint more easily and more quickly.
This process - being performed on the F-150 SVT Raptor above - uses 16 computer-controlled cameras to create a three-dimensional model (inset) of the vehicle to detect flaws in the paint including dirt particles, which can then be buffed out manually. Ford says this new technology cuts down on time spent looking for paint flaws and gives workers more time to correct those that are discovered.
Currently, Ford only uses its 3D Dirt Detection Technology system at three factories (the Dearborn, MI facility, along with those in Louisville, Kentucky and Valencia, Spain), but it will soon spread to five more plants in North America. Ford has released a video and press release for this innovative and unexpectedly interesting process, both of which are posted below.

Petrolicious pays visit to tuning sensation the Ringbrothers

We caught up with a few projects from Ringbrothers at SEMA this year: a classic Ford Mustang body rendered in carbon fiber, and a De Tomaso Pantera-based concept that made us swoon.
It's with good timing then, that our friends at Petrolicious have uploaded their newest, well-crafted mini-documentary to the expansive airwaves of the Internet. Here, we meet the brothers Ring in person - Mike and Jim - and see how they've lent they're passion for craftsmanship to their business, along with their surname. A 1964 Ford Fairlane dubbed "Afterburner" and a 1965 Mustang called "Producer" star in this show.

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.