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November 22, 2017 05:06 pm GMT
Apple has a new paper published in Cornell’s arXiv open directory of scientific research, describing a method for using machine learning to translate the raw point cloud data gathered by LiDAR arrays into results that include detection of 3D objects, including bicycles and pedestrians, with no additional sensor data required. The paper is one of the clearest looks yet we’ve had… Read More
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/0RKV3TMP0HA/
Apple could use machine learning to shore up LiDAR limitations in self-driving
Apple has a new paper published in Cornell’s arXiv open directory of scientific research, describing a method for using machine learning to translate the raw point cloud data gathered by LiDAR arrays into results that include detection of 3D objects, including bicycles and pedestrians, with no additional sensor data required. The paper is one of the clearest looks yet we’ve had… Read MoreOriginal Link: http://feedproxy.google.com/~r/Techcrunch/~3/0RKV3TMP0HA/
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