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Jay Leno is far beyond driven in his 1971 Pantera

Perhaps it's fitting that the band Pantera is known for its heavy metal music, because the DeTomaso Pantera is the automotive equivalent of a metal album. It's short, aggressive and makes a mean sound. It doesn't mess around either, with a Ford 351-cubic-inch (5.75-liter) V8 sending mountains of torque to the rear wheels. This week, Jay Leno takes us on a detailed tour of his '71 to show why it rocks.
There's a regular format to Jay Leno's Garage. It starts with Jay and maybe a guest taking a look at the car and talking about its history, and then they take it out on the open road. However, this video is practically a Pantera buyer's guide. Jay is adamant from the start that the last thing anyone should own is a stock example. To remedy this, he and his guest, the editor of the Pantera Club magazine, take viewers to school about some of the ways to turn them into even better performance machines.
No matter what you do to it, though, the Pantera requires that the driver adapt to it, not the other way around. For example, Jay isn't a big guy by most standards, but he has to cram himself into the cockpit with his shoes off and shirt partially unbuttoned just to go for a drive. Still, once out on the road, it all makes sense with that rumbling V8 and those Italian supercar looks. Scroll down to watch and learn a lot more about this uncompromising '70s performance car.

Translogic 174: Ford envisions the future of parking

Translogic visits Georgia Tech for a glimpse at the future of parking. First, we demo the Ford remote parking program by driving a golf cart around campus from the comfort of an off-site lab; think of remote parking as a virtual valet. Then we see how Ford's "parking spotter" works, a crowd-sourced way of finding an open space. Along the way, Translogic host Jonathon Buckley chats with Ford's global director of vehicle electrification and infrastructure, who explains how these innovative parking concepts could help us get around more efficiently. Have an RSS feed? Click here to add Translogic. Follow Translogic on Twitter and Facebook. Click here to learn more about our host, Jonathon Buckley. VIDEO TRANSCRIPT Jonathon: You turn the wheel and the cart turns the wheel because we've got to remember that the carts 150 meters down that way. I should use yards because I'm not in Australia any more. Welcome to Translogic. I'm Jonathon Buckley. Every year in this country we spend over 70 million hours looking for parking. We think that's a pretty miserable way to spend that time but Ford Motor Company and Georgia Tech have taken this problem head on by developing a parking spotter experiment and some pretty cool remote driving functions to go with it. When it comes to remote vehicle repositioning, you guys have been so far using golf carts?Mike: That's right.Jonathon: What's the goal with this type of technology?Mike: As you probably know, car sharing is becoming one of the emerging trends in mobility. With that, any type of sharing program that we looked at around the world, one of the common challenges it has is that during the end of the day, or the nighttime hours, there's something that has to happen to get all the assets back to where they need to be for the next day. Cell phone technology and broadband technologies have advanced so far that we can remotely control a vehicle from anywhere it the world. For example, we could actually take this and create a virtual valet. You and your significant other pull up to, say, a restaurant. You could potentially get out of the vehicle and then the call center could take your vehicle and park it for you. You wouldn't need to do anything [00:02:00] else other than arrive at the restaurant.Jonathon: The whole thing's pretty intuitive. It works exactly as you imagine a golf cart would work. The only difference that there really is is there's just a little bit of latency that you have to account for.

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.