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GM, Audi, Jaguar halt Russian sales amidst ruble's collapse

The value of Russia's ruble currency has sunk like a stone tossed in the Volga for much of the year, losing over 40 percent of its worth since June. The change is having bizarre effects on the auto industry there and leaving some automakers scrambling to adjust. According to Bloomberg, Russians are buying up luxury goods including automobiles at the moment to have a physical investment in case the ruble sinks further. However, with the money worth so little, the companies aren't making much from these transactions. Things are so dire that several automakers are temporarily ending deliveries until the situation stabilizes. According to Bloomberg, General Motors stopped sales on December 16 with no set date to start again. Audi did the same thing but with the intention to resume once it has adjusted model pricing. Jaguar Land Rover terminated business until December 19 to see how things changed. Toyota is increasing its pricing, as well, but keeping business open at the same time. Some automakers have subtly been reacting to the slumping Russian auto market all year. The moves have included Volkswagen cutting production by 30,000 units from its factory in Kaluga. Ford also got rid of 950 workers from two plants due to low demand. Some analysts have even speculated that the contracting industry and possibility of lower import duties into the country could cause companies to end their manufacturing in Russia completely.

The skinny on Delphi's autonomous road trip across the United States [w/videos]

Rolling out of an S-shaped curve along Interstate 95, just past Philadelphia International Airport, the final obstacle between the autonomous car and its place in history appeared on the horizon. So far, the ordinary-looking SUV had traversed the United States without incident. It had gone through tunnels and under overpasses. It circled roundabouts and stopped for traffic lights. Now, on the last day of a scheduled nine-day journey, it was poised to become the first autonomous car ever to complete a coast-to-coast road trip. First, it needed to contend with the Girard Point Bridge. Riding in a rear seat, "I saw that bridge coming, and I thought, 'Oh my gosh, this is going to be a grab-the-wheel moment," said Kathy Winter, vice president of software at Delphi Automotive. The car, an unassuming Audi SQ5 nicknamed Roadrunner, had been well-tested. Back in January, a few inebriated pedestrians fell flat in front of the car during a demonstration in Las Vegas. It was the quintessential worst-case scenario, and the car admirably hit the brakes. More than drunken louts, bridges present a sophisticated challenge for the six radar sensors that feed data to the car's internal processors. Instead of sensing solid objects, radar sensors can read the alternating bursts of steel beams and empty space as conflicting information. "They're a radar engineer's worst nightmare," said Jeff Owens, Delphi's chief technology officer. Girard Point Bridge, a blue skeleton of girded steel that spans the Schuylkill River, might be a bigger challenge than most. Traveling across the lower level of its double decks, the autonomous car's radar sensors had to discern between two full sets of trusses. Cross the Schuylkill, and Delphi's engineers felt confident they'd reach their destination: the New York Auto Show. For now, the sternest test of the trip lay directly in front of them. A Data-Mining Adventure Until that point, the toughest part of the journey had been finding an open gas station in El Paso, TX. Trust in the technology had already been established. The main reason Delphi set out on the cross-country venture with a team of six certified drivers and two support vehicles was to capture reams of data. What better way to do that than dusting off the classic American road trip and dragging it into the 21st century? They did exactly that, capturing three terabytes worth of data across 3,400 miles and 15 states.

Stanford goes from Pikes Peak to Thunderhill with autonomous Audi TTS

In the years since Stanford University engineers successfully programmed an Audi TTS to autonomously ascend Pikes Peak, the technology behind driverless cars has progressed leaps and bounds. Back then the Audi needed 27 minutes to make it up the 12.42-mile course – about 10 minutes slower than a human driver. These days, further improvements allow the vehicle to lap a track faster than a human. The researchers recently took their autonomous TTS named Shelley to the undulating Thunderhill Raceway Park, and let it go on track without anyone inside. The Audi reportedly hit over 120 miles per hour, and according to The Telegraph, the circuit's CEO, who's also an amateur racing driver, took some laps as well and was 0.4 seconds slower than the computer. To make these massive technological advancements, the Stanford engineers have been studying how racers handle a car. They also hooked up drivers' brains to electrodes and found the mind wasn't doing as much cognitively as expected. It instead operated largely on muscle memory. "So by looking at race car drivers we are actually looking at the same mathematical problem that we use for safety on the highways. We've got the point of being fairly comparable to an expert driver in terms of our ability to drive around the track," Professor Chris Gerdes, director of Stanford's Revs Program, said to The Telegraph. With progress coming so rapidly, it seems possible for autonomous racecars to best even elite drivers at some point in the near future. Related Video: