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Creations n' Chrome Top Notch Mustang is a one-of-a-kind fox

Is there a cooler car from the 1980s and early 90s to mod than a Fox-body Ford Mustang? No, there isn't. If you disagree with us, we suggest you have a look at this 1990 Mustang Coupe, which just might change your mind. Although considering just how extensively modified this car - the Top Notch Mustang from Creations n' Chrome - is, we wonder just how much Ford is left in this old pony.
It rides on a custom race tube chassis that weighs a scant 700 pounds, while carbon-fiber bits and bobs help lower the overall curb weight to a mere 2,400 pounds. When paired with supercharged, 5.0-liter, Aluminator V8 from Ford Racing, the results are, doubtlessly, exciting. 855 horsepower at the rear wheels and 667 pound-feet of torque are available from that force-fed V8 should be just plenty for this car's intended purpose of running in standing-mile competitions.
The Top Notch Mustang is more extreme than just weight savings and a big engine, though. That 5.0-liter is essentially in what's known as a front-mid layout - where the engine is actually behind the front axle. In this case, the 5.0-liter V8 is 17 inches further back than a factory Fox-body, for better weight distribution. As a result, the cabin has been completely overhauled. An SLA front suspension, wheels from HRE, Wilwood brakes and Sparco interior items round out the extensive list of mods.

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.

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.