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SYSTEM AND METHOD FOR ORDERED REPRESENTATION AND FEATURE EXTRACTION FOR POINT CLOUDS OBTAINED BY DETECTION AND RANGING SENSOR
SYSTEM AND METHOD FOR ORDERED REPRESENTATION AND FEATURE EXTRACTION FOR POINT CLOUDS OBTAINED BY DETECTION AND RANGING SENSOR
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机译:检测和测距传感器获得的点云的有序表示和特征提取的系统和方法
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摘要
A method is described which includes receiving a point cloud having a plurality of data points each representing a 3D location in a 3D space, the point cloud being obtained using a detection and ranging (DAR) sensor. For each data point, associating the data point with a 3D volume containing the 3D location of the data point, the 3D volume being defined using a 3D lattice that partitions the 3D space based on spherical coordinates. For at least one 3D volume, the data points are sorted within the 3D volume based on at least one dimension of the 3D lattice; and the sorted data points are stored as a set of ordered data points. The method also includes performing feature extraction on the set of ordered data points to generate a set of ordered feature vectors and providing the set of ordered feature vectors to perform a machine learning inference task.
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