2001 Ford F-450 Crew Cab Xl 7.3l Powerstroke Flatbed Dump Truck on 2040-cars

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Enterprise working with renter's insurance to cover $47k Mustang stolen from its lot

There was more than a bit of public indigence following the recent story of Enterprise Rent-A-Car billing a customer $47,000 to replace a Ford Mustang GT Convertible stolen from a Nova Scotia lot. To recap: Kristen Cockerill rented the Mustang for two days, returned it to the lot on a Sunday and left the keys in a secure dropbox only for Enterprise employees to find the car gone the next day.
Despite Enterprise policies stating that customers are responsible for vehicles dropped on off-days, the company has admitted that the situation could've been handled a bit better.
In a recent statement, Enterprise has backed off the big-bill story, and claims to be working with Cockerill and her insurance company to resolve the issue. Further, the Enterprise general manager overseeing Nova Scotia has spoken with the harried renter, and apologized "for the way this claim was handled during the last few months."

Submit your questions for Autoblog Podcast #324 LIVE!

We're set to record Autoblog Podcast #324 tonight, and our friend Peter Leung (a.k.a. BaronVonClutch), who writes about racing for Richland F1 is going to teach us how to love the vroom-vroom. Drop us your questions and comments regarding the rest of the week's news 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 #324
Geneva Motor Show highlights from Zach

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.