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Pony cars, trucks and Italian SUVs | Autoblog Podcast #552

On this week's Autoblog Podcast, Editor-in-Chief Greg Migliore is joined by Senior Editor Alex Kierstein and Associate Editor Reese Counts. We discuss the updated 2019 Chevy Camaro Turbo 1LE variant, the new 2019 GMC Sierra Denali, and the Ferrari-powered Maserati Levante GTS. We also debate whether Volkswagen should build the Atlas-based Tanoak pickup truck and what a delay means for the next-gen Ford Mustang. Finally, we answer a reader question about the state of Lexus.Autoblog Podcast #552 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 Rundown 2019 Chevy Camaro Turbo 1LE 2019 GMC Sierra 2019 Maserati Levante GTS Should Volkswagen build the Tanoak? Next-gen Ford Mustang delayed The past, present and future of Lexus Feedback Email – Podcast@Autoblog.com Review the show on iTunes Related Video: Podcasts Chevrolet Ford GM GMC Lexus Maserati RAM Truck Coupe SUV Luxury Performance

California Man Reunited 33 Years Later With Thunderbird

A California man was at a loss for words when he was reunited with his prized 1964 Ford Thunderbird on Tuesday, 33 years after it was stolen from a bar parking lot. Gary Chartrand could hardly believe how well his old Thunderbird held up in the last three decades. The odometer had only added about 1,000 miles from when he last saw the car back in the 1980s. "A few bumps and bruises but boy, not much changed," Chartrand told KOVR. Chartrand bought the car as a present to himself after finalizing his divorce from his wife of 10 years in 1981. It disappeared one night from the parking lot of a Sacramento bar where he was working. Police found Chartrand's car 750 miles north in Washington State. They have no leads on who might have stolen the classic car. Related Gallery Buying An Older Car: Five Things To Watch Out 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.