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New autonomous testing ground in Michigan will help battle bad weather

If one of the big weaknesses of autonomous vehicles is their ability to navigate in the snow, consider this a trial by fire. The American Center for Mobility says it has opened its $110 million driverless car testing facility on the site of a former General Motors assembly plant in Michigan, with Toyota and auto supplier Visteon the first to begin testing this week. The ACM proving ground is a 500-acre site at historic Willow Run in Ypsilanti Township, near Ann Arbor. It's one of 10 sites designated by the U.S. Department of Transportation as pilot proving ground sites to test AV technologies. It features a variety of simulated environments to test driverless cars, including a 2.5-mile highway loop, two double overpasses, intersections, roundabouts and a 700-foot curved tunnel. It also opens just as the region experiences a series of snowstorms and the first frigid temperatures of the season. That ability to test autonomous vehicles in a wide variety of weather conditions is important, as autonomous vehicle sensors have struggled to handle cold, wet and snowy conditions. Google parent Alphabet in October said its Waymo division was expanding its winter testing operations to Michigan, making it the sixth state where it's testing its driverless car systems. In a Medium blog post, Waymo CEO John Krafcik wrote that "This type of testing will give us the opportunity to assess the way our sensors perform in wet, cold conditions. And it will also build on the advanced driving skills we've developed over the last eight years by teaching our cars how to handle things like skidding on icy, unplowed roads." Waymo also opened a development center in suburban Detroit in 2016, working with Fiat Chrysler to integrate its autonomous technology into Chrysler Pacifica hybrid minivans. Visteon began testing and validating its DriveCore autonomous driving platform to evaluate algorithms, vehicle-to-vehicle and vehicle-to-infrastructure technology and other systems. Toyota used the facility Wednesday to begin orientation and driver training. ACM has so far secured $110 million to construct the first two phases from founders Ford, Hyundai America Technical Center, Toyota and Visteon, and says it expects to announce more investment soon.

Lexus tops JD Power Vehicle Dependability Study again, Buick bests Toyota

It shouldn't surprise anyone, but Lexus has once again taken the top spot in JD Power's Vehicle Dependability Study. That'd be the Japanese luxury brand's fourth straight year at the top of table. The big news, though, is the rise of Buick. General Motor's near-premium brand beat out Toyota to take second place, with 110 problems per 100 vehicles compared to Toyota's 111 problems. Lexus owners only reported 89 problems per 100 vehicles. Besides Buick's three-position jump, Scion enjoyed a major improvement, jumping 13 positions from 2014. Ram and Mitsubishi made big gains, as well, moving up 11 and 10 positions, respectively. In terms of individual segments, GM and Toyota both excelled, taking home seven segment awards each. The study wasn't good news for all involved, though. A number of popular automakers finished below the industry average of 147 problems per 100 vehicles, including Subaru, (157PP100), Volkswagen (165PP100), Ford/Hyundai (188PP100 each) and Mini (193PP100). The biggest losers (by a tremendous margin, we might add) were Land Rover and Fiat, recording 258 and 273 problems per 100 vehicles. The next closest brand was Jeep, with 197PP100. While the Vehicle Dependability Study uses the same measurement system as the Initial Quality Survey, the two metrics analyze very different things. The VDS looks at problems experienced by original owners of model year 2012 vehicles over the past 12 months, while the oft-quoted IQS focuses on problems in the first 90 days of new-vehicle ownership. Like the IQS, though, the VDS has a rather broad definition of what a problem is. Because of that, a low score from JD Power is no guarantee of extreme unreliability, so much as just poor design. In this most recent study, the two most reported problems focused on Bluetooth connectivity and the voice-command systems. The former leaves plenty of room for user error due to poor design (particularly true of the Bluetooth systems on the low-scoring Fords, Volkswagens and Subarus), while the second is something JD Power has already confirmed as being universally terrible. That makes means that while these studies are important, they shouldn't be taken as gospel when it comes to automotive reliability. News Source: JD PowerImage Credit: Copyright 2015 Jeremy Korzeniewski / AOL Buick Fiat Ford GM Hyundai Jeep Land Rover Lexus MINI Mitsubishi RAM Scion Subaru Toyota Volkswagen Auto Repair Ownership study

Ford reveals automated Fusion Hybrid

Autonomous cars may still be in their infancy, but more and more big names in the auto industry are diving in head first. Nissan is already making strides with a semi-autonomous Leaf EV and General Motors is planning to offer semi-autonomous tech by 2020. And then there's Google, doing its thing with a fleet of Toyota Prius. Now, Ford is showing off its latest automated effort, a driverless Fusion Hybrid.
Partnering with the University of Michigan (Go Blue!) and State Farm Insurance, the project is part of Ford's Blueprint for Mobility, the company's plan for transportation beyond 2025. "The Ford Fusion Hybrid automated vehicle represents a vital step toward our vision for the future of mobility," Chairman Bill Ford said. "We see a future of connected cars that communicate with each other and the world around them to make driving safer, ease traffic congestion and sustain the environment."
The automated Fusion features four LiDAR infrared sensors that scan the road 2.5 million times every second, using a principle similar to the echolocation used by dolphins or bats. Using the infrared light emitted by the LiDAR, the car can draw a picture of everything within 200 feet to create a map of its surroundings. According to Ford, the sensors are able to tell the difference between a paper bag and a small animal from a football field away.