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Ford blamed in drug mule lawsuit

If a college student is caught smuggling drugs across the border, one might think the kid got what was coming to him. But when a Mexican student at the University of Texas in El Paso was caught by Border Patrol agents with duffel bags filled with marijuana in his trunk, the man used a classic excuse: He claimed they weren't his.
While a claim like that is almost unbelievable, Ricardo Magallanes, the student, is now suing Ford for handling its vehicles' key codes negligently enough to allow drug smugglers to break into his Ford Focus and stash the drugs, The Daily Caller reports. The twist here is that four other people who lived in Juarez and worked in El Paso were involved in the same type of scheme - allegedly unwittingly, just like Magallanes - and all the cars were Fords except one model from General Motors. FBI agents also found an employee at a Dallas Ford dealership that had accessed the key codes to all four of the cannabis-stuffed Fords.
While we all may not own Fords, the case still causes us slight paranoia. We'll definitely be checking our trunks before we cross any more international borders.

Jay Leno sees how the other half lives with CHP cop cars new and old

Comedian Jay Leno is changing gears from driving fast cars to checking out some of the police cruisers that regularly chase down and dish out punishment to those fast cars. In this episode of Jay Leno's Garage, we get the lowdown on the modifications made to the Ford Explorer for the Interceptor package (which looks pretty tough in its California Highway Patrol livery).
The new Ford is cool, but cooler still are the pack of classic CHP cars that Jay has along for the episode. A 1982 Mustang, 1966 Dodge Polara, 1970 Mercury Monterey and 2000 Crown Victoria are all in the shop. Better still, Jay lays out an argument for ones of the classic cruisers as the best cop car of all time. Get your guesses in now, and then scroll down to watch and learn.

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.