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Submit your questions for Autoblog Podcast #326 LIVE!

We're set to record Autoblog Podcast #326 tonight, and you can drop us your questions and comments via our Q&A module below. Subscribe to the Autoblog Podcast in iTunes if you haven't already done so, and if you want to take it all in live, tune in to our UStream (audio only) channel at 10:00 PM Eastern tonight.
Discussion Topics for Autoblog Podcast Episode #326
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Petrolicious eats up Rita Hayworth's 1953 Cadillac Ghia

The automotive industry has seem some wonderful transoceanic collaborations between America and Italy, from the Ford-powered De Tomasos of the 1960s to the alliance between Fiat and Chrysler today. Of course it's also seen unfortunate experiments in between like the Chrysler TC by Maserati and the Pininfarina-bodied Cadillac Allante. But before any of those, there was a beautiful tradition of rebodying American steel at the hands of Italian carrozzerie. And this could easily be among the most gorgeous of them all. It's a Cadillac Series 62 from 1953 with bodywork by Ghia. It's one of only two made, and has a star-studded history. The car was purchased by Aly Khan, prince of the Nizari Ismaili muslims and Pakistan's ambassador to the United Nations, for his wife... who just so happened to be the inimitable Rita Hayworth. They split up, but she held on to the car. Today it's part of the permanent collection at the Petersen Automotive Museum in LA, so the videographical artisans at Petrolicious went by to check it out. You'll want to as well in the five-minute short above.

Combine a self-driving car with V2V, and here's what happens

Transportation engineers have started laying the groundwork for a traffic world in which cars communicate with other cars and infrastructure like bridges and traffic lights. How about an environment in which cars talk to pretty much everything and everyone? In a preview of its offerings at the upcoming Consumer Electronics Show, Delphi Automotive will deploy just such a concept. Engineers have designed a system that communicates with traffic signals, street signs, pedestrians, cyclists, even to fry pits and parking garages along a driver's route. To date, engineers and researchers across the auto industry have focused on the technical and safety-oriented foundation of future vehicle-to-vehicle communications, which could help cars share information about everything from traffic tie-ups to upcoming road hazards. Beyond those building blocks, many have projected that V2V could also include more consumer-focused features. Delphi's system, dubbed V2Everything, might be the first that combines those sorts of features in a tangible package. At CES in Las Vegas, scheduled to begin the first week of January, company officials say they'll demonstrate in real-world conditions how V2V technology can be used in an autonomous vehicle to provide a range of critical safety information and leisure and convenience options for riders. The first V2V technology installed on a production car is slated to appear on the 2017 Cadillac CTS. "We imagine a world with zero traffic accidents," said Jeff Owens, Delphi's chief technology officer. "To get there, we will need a convergence of active safety, sensor fusion, connectivity platforms and advanced software." Such software might allow a vehicle to start searching for and reserving parking spots at a programmed destination long before arriving. It could allow riders to place their McDonald's drive-through order from the road and have the food ready for pickup along the route. For the drive itself, the Delphi-equipped car can stay updated on the status of traffic lights around Las Vegas, and can anticipate yellow and red lights. Using smart-phone technology, the car can detect pedestrians and cyclists that may otherwise be hard to see. It can send messages to friends or family to notify them of a driver's location. Some of those features have been available on third-party apps or individually developed by automakers. But this system marries them together in a single system that is tailored for use in self-driving cars.