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Shelby GT500 laps N"urburgring in under 7:40?

A couple of weeks ago we brought you footage and official times of the new Chevy Camaro Z/28 lapping the Nürburgring. With a 7:37.47 lap time, the Z/28 emerged as the fastest muscle car ever to lap the circuit. But what was missing from that picture was how fast the king of all Mustangs, the Shelby GT500, could manage to lap the Nordschleife.
Ford never released any information or footage of the GT500 on the Nürburgring that we were aware of - that is, until the guys at SVTPerformance.com put in a request for Mustang videos. Among the clips they received was never-seen, in-car footage of the Shelby GT500 lapping the circuit. And boy did it hustle.
Although not quite official, the video seems to show the GT500 lapped the venerated German track in a touch under 7:40. That would make it a tick or two faster than the Camaro ZL1 - but what of the Z/28? By Chevy's quoted time, the Z/28 is still faster than the GT500, but SVTPerformance suggests GM may have fudged the numbers a bit and scrubbed half a second or so off their lap time.

Ford reveals automated Fusion Hybrid

Autonomous cars may still be in their infancy, but more and more big names in the auto industry are diving in head first. Nissan is already making strides with a semi-autonomous Leaf EV and General Motors is planning to offer semi-autonomous tech by 2020. And then there's Google, doing its thing with a fleet of Toyota Prius. Now, Ford is showing off its latest automated effort, a driverless Fusion Hybrid.
Partnering with the University of Michigan (Go Blue!) and State Farm Insurance, the project is part of Ford's Blueprint for Mobility, the company's plan for transportation beyond 2025. "The Ford Fusion Hybrid automated vehicle represents a vital step toward our vision for the future of mobility," Chairman Bill Ford said. "We see a future of connected cars that communicate with each other and the world around them to make driving safer, ease traffic congestion and sustain the environment."
The automated Fusion features four LiDAR infrared sensors that scan the road 2.5 million times every second, using a principle similar to the echolocation used by dolphins or bats. Using the infrared light emitted by the LiDAR, the car can draw a picture of everything within 200 feet to create a map of its surroundings. According to Ford, the sensors are able to tell the difference between a paper bag and a small animal from a football field away.

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.