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Ford Mustang chief engineer, mid-engine Corvette | Autoblog Podcast #488

Note: There were some technical difficulties that prevented some of you from downloading this week's podcast. The player and link below should be working now, and the file has reached iTunes and other feeds as well. Thanks to everyone who wrote in to let us know of the issues! On the podcast this week, we have some questions for Ford Chief Engineer Carl Widman. Plus, Associate Editor Reese Counts joins Mike Austin to talk about the latest news, most notably the spy photos of the upcoming mid-engine Corvette. We also chat about the Jaguar F-Type Coupe, the Nissan Armada, and why 0-60 mph is a stupid performance figure. And, of course, we get into some Spend My Money advice, telling strangers what car to buy. And new this week is a cost-no-object what-cars-would-you-buy game. The rundown is below. And don't forget to send us your questions, money-spend or otherwise, to podcast at autoblog dot com. Autoblog Podcast #488 The video meant to be presented here is no longer available. Sorry for the inconvenience. Topics and stories we mention Mid-engine Chevrolet Corvette spied Chevy Bolt EV comes with 238 miles of range Ford will sell self-driving cars by 2025 Jaguar F-Type Coupe 2017 Nissan Armada (yes, Mike knows it's not a Patrol) Ford Mustang Chief Engineer Carl Widman interview Spend My Money - we give purchase advice Why 0–60 mph is a stupid performance test Rundown Intro - 00:00 The news - 03:30 What we've been driving - 16:20 Carl Widman - 26:44 Spend my money - 37:03 New fun game - 51:48 0–60 mph is overrated - 56:50 Total Duration: 1:04:57 Get The Podcast iTunes – Subscribe to the Autoblog Podcast in iTunes RSS – Add the Autoblog Podcast feed to your RSS aggregator MP3 – Download the MP3 directly Feedback Email – Podcast at Autoblog dot com Review the show in iTunes Podcasts Chevrolet Ford Jaguar Nissan Car Buying nissan armada mid-engine corvette jaguar f-type coupe

Audi, Jag, Kia and Tesla top Strategic Vision 2014 Total Quality Index

A couple weeks ago, J.D. Power released its latest Initial Quality Study, which gave high marks to Porsche, Hyundai and General Motors, with the latter earning more individual IQS awards than any other manufacturer. Now, it's Strategic Vision's turn, and it's doling out its praise not to Porsche, but to Tesla, which wasn't even included in the JD Power IQS.
The Model S was named the best vehicle overall in total quality, while Porsche's corporate brother and endurance-racing rival, Audi, was named the best premium brand, alongside Jaguar. Strategic Vision cited the Q5 and the ancient Q7 for individual segment awards, as well as the A5, which was a mere point off the top of its segment. SV also handed out compliments for the Audi's interior work. The win for the German brand is a nice improvement over its IQS score, with which it landed above the industry average, but solidly mid-pack.
Jaguar was without a segment winner, although SV did say that the Indian-owned English brand had a number of vehicles very near the top of their segments. This is the second significant win for Jag in two weeks, after it finished second overall on the JD Power IQS a few weeks ago.

Jaguar Land Rover and Cambridge have developed a touchless touchscreen

Jaguar Land Rover and the University of Cambridge are working on new touchscreen technology that eliminates the need to touch the screen. Counterintuitive, right? It’s called “predictive touch” for now, in part because the system is able to predict what you might be aiming for on the screen.  The video at the top of this post is the best way to understand how users will interact with the tech, but weÂ’ll do some more explaining here. You simply reach out with your finger pointing toward the item on screen that you want to select. ItÂ’ll highlight the item and then select it. HereÂ’s how it works, according to the University of Cambridge: “The technology uses machine intelligence to determine the item the user intends to select on the screen early in the pointing task, speeding up the interaction. It uses a gesture tracker, including vision-based or radio frequency-based sensors, which are increasingly common in consumer electronics; contextual information such as user profile, interface design, environmental conditions; and data available from other sensors, such as an eye-gaze tracker, to infer the userÂ’s intent in real time.” Cambridge claims that lab tests showed a 50 percent reduction in both effort and time by the driver in using the screen, which would theoretically translate to more time looking at the road and less time jabbing away at the screen. If the prediction and machine learning tech is good enough, we could see this resulting in a reduced number of accidental inputs. However, on a certain level it almost sounds more difficult to point at a screen while moving than it does to actually touch a section of that screen. Without using the tech and its supposedly great predictive abilities, we canÂ’t come to any grand conclusions. One comparison you may already be thinking of is BMWÂ’s Gesture Controls. ItÂ’s already been addressed with a subtle diss from Cambridge: “Our technology has numerous advantages over more basic mid-air interaction techniques or conventional gesture recognition, because it supports intuitive interactions with legacy interface designs and doesnÂ’t require any learning on the part of the user,” said Dr Bashar Ahmad of the University of Cambridge. Of course, this tech can be used for much more than just vehicle touchscreen control. Cambridge says it could be integrated into ATMs, airport check-in kiosks, grocery store self checkouts and more.