Toyota details self-learning map system for autonomous cars

Toyota has detailed its independent approach to map creation for future autonomous vehicles. Most if not all major automakers are expected to rely on extensive cartography to help guide autonomous piloting technology, allowing live sensor input to be compared against known data as the vehicle attempts to determine its exact location and safely maneuver.Satellite images, known road locations and other data used for simple GPS guidance systems can provide enough information to help a driver steer the vehicle on the intended path, however fully autonomous vehicles typically require a much deeper level of location information and point-of-view imagery.Audi, BMW and Daimler recently partnered to purchase Nokia’s digital mapping division, which compiled data from a fleet of LiDAR-equipped vehicles that scanned roads and surrounding structures to an accuracy of 10 to…

Link to Full Article: Toyota details self-learning map system for autonomous cars

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