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Honda Ridgeline, Ford Ecosport and Tesla profits | Autoblog Podcast #537

On this week's Autoblog Podcast, Editor-in-Chief Greg Migliore is joined by Green Editor John Beltz Snyder and Associate Editor Joel Stocksdale. We talk about driving the 2018 Ford Ecosport and Hyundai Accent. Joel tells us why he loves the naturally aspirated engine in our long-term Honda Ridgeline. We discuss Tesla's profitability claims, Johan de Nysschen leaving Cadillac and a possible date change for the Detroit Auto Show. As usual, we'll also spend a listener's money on a car. Autoblog Podcast #537 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 Driving the 2018 Ford Ecosport Driving the 2018 Hyundai Accent A love letter to the Honda Ridgeline's V6 Leadership change at Cadillac Will Tesla be profitable this year? Will NAIAS move to October? Spend my money Feedback Email – Podcast@Autoblog.com Review the show on iTunes Related Video: Earnings/Financials Green Podcasts Detroit Auto Show Cadillac Ford Honda Hyundai Tesla Used Car Buying Truck Crossover SUV Economy Cars Electric Sedan

Ford Mustang Shelby GT500 has a bit of a dyno issue

We're of the mind that each and every dyno should come with Murphy's Law painted in big, visible letters down the side. For every ten successful dyno runs out there, it seems there's one where events to horribly wrong. Take, for example, the video below. The clip shows what happens when a Ford Shelby GT500 and a mobile dyno have a bit of a disagreement at the Performance Expo 24 in Sherbrooke, Quebec. We won't spoil the results for you, but we will say there's some substantial carnage involved.
It's unclear just how much damage ensues from the dust up or whether anyone was harmed in the incident, but from the looks of things, everyone made it out without serious injury. If only we could say the same for the machines involved. Check out the video below.

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.