GPS World: Low-cost precise positioning for automated vehicles
"Strong demand for low-cost precise positioning exists in the mass market. Carrier-phase differential GNSS (CDGNSS) positioning, accurate to within a few centimeters even on a moving platform, would satisfy this demand were its cost significantly reduced... [We] have developed and demonstrated a low-cost vehicle lane departure warning system that receives corrections from our dense reference network."
"Superaccurate GPS may soon solve three robocar bugbears: bad weather, blurred lane markings, and over-the-horizon blindspots. These are things that cameras and LIDAR can’t always see through, and radar can’t always see around. A group led by Todd Humphreys, an aerospace engineer at the University of Texas at Austin, has just tested a software-based system that can run on the processors in today’s cars, using data from scattered ground stations, to locate a car to within 10 centimeters (4 inches)."
"While it may only be a centimeter at a time, what a University of Texas at Austin professor and his team have been able to accomplish is a monumental step in making autonomous vehicles a part of everyday life...By working with local start-up, Radiosense...the team is now able to demonstrate the accuracy of the GPS technology."
"Current [automated vehicle] sensors enable a vehicle to accurately navigate without human intervention about 95% of the time in pre-mapped areas. Although this may seem extraordinary, it is simply not good enough for driverless cars. That’s where centimeter-accurate GPS comes in. Through its ability to determine where the vehicle is to within 10 centimeters (about four inches), despite poor weather or the absence of lane markings, this technology is a must to achieve the safety levels needed for so-called Level 4 automation, where the car self-drives all the time and human intervention is strictly optional"
Dr. Ken Pesyna
Dr. Todd Humphreys
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