Crash for cash caught on RoadHawk camera system

This is a potential "Crash for Cash" caught on camera. A lorry driver was going about his daily business when the car in front suddenly brakes causing him to collide in to the back of him. On later inspection the insurance company involved deemed the video to be suspect and handed it over to the Police. After a long investigation the police have busted a huge crash for cash ring involving over 120 incidents in the last year, possibly totalling more than £3m of insurance fraud! This clearly demonstrates the advantage of having a RoadHawk forward facing GPS black box video camera recorder to your vehicle. Police believe this to be a "decoy rear end shunt" two cars are involved. Watch the video carefully. When the lorry driver pulls in to the left hand lane the Mercedes closes the gap between itself and the car in front. The VW Golf makes a sudden turn causing the Merc to brake hard. The Golf is used as a decoy to give the Merc the excuse of having to stop quickly.

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Magellan RoadMate 1700LM 7-Inch Portable GPS with Lifetime Maps

Magellan RoadMate 1700LM 7-Inch Portable GPS with Lifetime Maps Review

Magellan RoadMate 1700LM 7-Inch Portable GPS with Lifetime Maps Feature

• Free Lifetime Map Updates
• Magellan Wireless Back-Up Camera compatible
• AAA Tourbook

Magellan RoadMate 1700LM 7-Inch Portable GPS with Lifetime Maps Overview

Magellan 7" Portable Navigation with Lifetime Maps, Back up Camera Compatible, Highway Lane Assist and Text to Speech

Available at Amazon Check Price Now!

*** Product Information and Prices Stored: Jan 29, 2012 11:25:16

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In-Depth: Chrysler MyGIG System

Cars.com's Dave Thomas tests out Chrysler's MyGIG multimedia system. Shot and produced by: Eric Rossi Edited by: Lindsay Bjerregaard

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Stanford Automotive, part II: The future of autonomous cars

Last week at the Center for Automotive Research at Stanford (CARS), we looked at a car designed to study vehicle dynamics. Today, we get a look at how engineers and computer scientists are building cars that don't need drivers—and are better for it. Mike Sokolsky is a research engineer in the artificial intelligence lab at Stanford. He works as a systems integrator for "Junior," Stanford's car that tests computer vision, decision-making, and probabilistic planning. "If you think about a GPS device, right now you can plug in a place and it tells you how to get there," says Sokolsky. "The extension that we want to get to is, you plug in a place, and it takes you there. That's the interface that we want, ultimately, to be able to interact with our cars: sit back, relax, and it takes care of all the driving for you." What they're working on now at CARS is taking the autonomous car from the test environment to real roads, with real problems and lots of unknowns, like construction. "You can't rely on the roads being the same every time you come back. You have to be able to adapt to all these changing situations," says Sokolsky. While the interior of Junior looks pretty much like a normal car, the trunk of the car looks like a miniature data center. But computers in back are nothing special, says Sokolsky: "We've put a lot of effort into making sure that the software we write is scalable, and works sort of incrementally, so you don't need to worry about massive data. There's ...

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