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Autoblog Podcast #326

Easter Jeep Safari concepts, Shelby 1000, 2014 Cadillac CTS and Mercedes CLA45 AMG leaks
Episode #326 of the Autoblog Podcast is here, and this week, Dan Roth and Zach Bowman talk about this year's Easter Jeep Safari concepts, the 1,200-horsepower Shelby 1000 and leaked images of the 2014 Cadillac CTS and Mercedes-Benz CLA45 AMG. We wrap with your questions and emails, and for those of you who hung with us live on our UStream channel, thanks for taking the time. Keep reading for our Q&A module for you to scroll through and follow along, too. Thanks for listening!
Autoblog Podcast #326:

Toyota tops Consumer Reports best, worst used car values

We often mock Toyota for building boring, soulless cars, but a new study by Consumer Reports suggests that regardless of whether that's true, the company has some of the best used cars on the market. In its report on used cars from 2004-2013, the Japanese automaker had 11 vehicles among its brands on the list - more than any other automaker.
CR breaks the list down by cost and vehicle size, and Toyota has at least one entry at every price point and in nearly every segment. To score a recommendation, a vehicle had to perform well in the magazine's initial tests and score above-average reliability results. It also tried to only suggest cars with electronic stability control. Of the 28 recommended vehicles, Honda/Acura had the second most mentions at six, and Ford, Hyundai and Subaru managed two each.
The Detroit brands also made it to the list, but not in a positive way. Consumer Reports compiled a list of 22 vehicles it wouldn't recommend because "they have multiple years of much-worse-than-average overall reliability." General Motors had the most unrecommended models on the list at six, but Chrysler and Ford weren't far behind, with five cars each from their brands not making the grade. The full list of recommendations is available on CR's website.

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.