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Infiniti teases QX Monograph concept for Pebble reveal

Infiniti is planning on showing a new concept car during Monterey Car Week called the QX Monograph. In case you lost track of time, that’s next week, as the concept car will officially be unveiled on Thursday, August 17. Infiniti is planning on holding a press conference at The Lodge at Pebble Beach where Alfonso Albaisa, senior VP of design, will present the vehicle. Infiniti says the new concept will showcase the “future direction of InfinitiÂ’s design direction.” A single teaser image gives us a glimpse of the grille and the Infiniti logo on the front. There isnÂ’t a lot Infiniti is saying about the QX Monograph yet, but weÂ’re told it features “digital piano key” lighting, bold proportions and the aforementioned double-arched grille. Of course, since itÂ’s a QX model, we should also expect it to be an SUV concept and not any other body style. Beyond the concept car, Infiniti says itÂ’s bringing never-before-seen quarter-scale design models from Nissan archives to display publicly. In total, four of these models will be shown, including the 1916 DAT 41, 1966 Prince Skyline 2000-GTB, 1970 Nissan Skyline H/T and the 1995 Nissan Skyline GT-R. Related video: This content is hosted by a third party. To view it, please update your privacy preferences. Manage Settings.

Nissan promising autonomous car production by 2020

Nissan will bring the autonomous car to consumers by the end of this decade. The announcement was made by CEO Carlos Ghosn at the company's US headquarters in Irvine, CA. Nissan has already begun construction of a dedicated proving ground for the self-driving cars in Japan, with completion targeted for the end of 2014.
Teaming with MIT, Stanford, Oxford and others, Nissan has already outfitted Leaf EVs with the Autonomous Drive (Nissan's brand name for the tech), a suite of new technologies developed from the brand's existing Safety Shield technology. The current iteration of Autonomous Drive uses the Around-View Monitoring system and laser scanners to analyze the environment, while artificial intelligence systems have been installed to help navigate and operate in a changing environment.
While it's easy to say that Nissan will bring the technology to market within the next six or seven years, it's more difficult to say at what price Autonomous Drive will be available. Most remarkable about all of this is Nissan's claim that self-driving cars will be both commercially viable and available at "realistic prices for consumers." It's expecting Autonomous Drive to be available across its range within two vehicle generations.

Why it's difficult to accurately test the efficiency of a plug-in car

When it comes to electric vehicles and plug-ins in general, the Environmental Protection Agency-certified range is a hugely important number. While actual range anxiety is largely psychological, the magic number does provide a point of comparison of buyers considering one EV over another. The driving distance is also often touted by automakers when marketing their models. Unfortunately, as Green Car Reports finds in a recent deep dive, the way the EPA calculates the figure is a convoluted mess, and discovering the reasons why is definitely worth the read. The issue isn't about bad science but instead comes down to vague wording. The EPA's accepted range test is sourced from an evaluation called J-1634 from the Society of Automotive Engineers, and it seems to provide balanced results for vehicles that automatically reach a single state of charge when plugged in. However for models with multiple charge settings, the situation gets complicated very quickly. Of course, these modes are often created in the software, meaning that a car's certified driving distance can change with just a few taps of the keyboard without the real world results owners might experience actually changing. By showing the test's effects on the certified range for the Tesla Model S, Nissan Leaf and Mercedes-Benz B-Class Electric Drive over the last few years, Green Car Reports makes a compelling argument that it's the evaluation that needs to change. Thankfully, it appears that the solution is a very simple one. Get the details here.