Ford: Fairlane Fairlane 500 on 2040-cars

Auto blog

Last 2014 Ford Shelby GT500 Convertible nets $500k for charity at Barrett-Jackson [w/video]

The last 2014 Ford Shelby GT500 Convertible was sold on Saturday at a Barrett-Jackson auction in Reno, Nevada, for $500,000. Ford donated the Mustang to be auctioned for charity, and all of the money is going to the Brain Injury Association of America.
Parnelli Jones, winner of the 1963 Indianapolis 500, was there on behalf of the BIAA with his son Page, who suffered a brain injury in a sprint car crash in 1994. The bidding increased quickly, reaching $500k in no time, spreading a bit more hope to people who live with brain injuries.
The winning bidder will be able to choose the GT500's exterior, interior and stripe colors, and is scheduled to receive the car, signed by Parnelli Jones in appreciation for the donation, by the end of 2013. Watch the video below to see the auction-block action.

Wrap up some fun with Ford's commercial vehicle configurator

Ford has combined multiple steps into one with its commercial vehicle configurator, which allows users to choose, design and place orders for the Transit, Transit Connect, E-Series vans and F-Series Super Duty trucks.
The most interesting part of the new configurator is a fairly robust design tool. Users are able to choose paint color and wrap the vehicle, and then create their own graphics. No materials are needed - Ford provides numerous background textures, text boxes, plenty of shapes and 20 categories of images including floral, construction, plumbing and skylines. Self-created designs or images can be uploaded to the system as well.
We played around with the design tool a bit and uploaded our own image to create the Autoblog Podcast Live van you see here. Feel free to check out the configurator and make your own design.

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.