New Findings from Sichuan University in the Area of Artificial Intelligence Desc ribed (Second-order Spatial Measures Low Overlap Rate Point Cloud Registration A lgorithm Based On Fpfh Features)
New Findings from Sichuan University in the Area of Artificial Intelligence Desc ribed (Second-order Spatial Measures Low Overlap Rate Point Cloud Registration A lgorithm Based On Fpfh Features)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Artificial Intelligence have bee n presented. According to news originatingfrom Yibin, People’s Republic of Chin a, by NewsRx correspondents, research stated, “When the sensordynamically colle cts point cloud data for object or map reconstruction, the registration effect i s poor andreconstruction application is difficult with a too low overlap rate o f the collected point cloud data. Thereason is that the objects are covered, th e sensor rotation angle is too large and the speed of movementis too fast.”
Key words
Yibin/People’s Republic of China/Asia/Artificial Intelligence/Algorithms/Sichuan University
NETL
NSTL