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MULTI-TASK ACTIVE DETECTION SYSTEM

发明专利审中
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17权利要求 · 4 独立
§ Ⅰ

卷宗概要

发明人

Tunc Alkanat; Ashish Pandharipande; Konstantinos Fatseas; Willem Pieter Sanberg; Gerardus Henricus Otto Daalderop

IPC 分类

G1S 7/41G1S 13/4

CPC 分类

G1S7/417G1S13/4

A computer-implemented method for classifying points in a point cloud obtained by an active detection and ranging system is provided. The method comprises: computing a latent representation of the point cloud, determining from the latent representation, for each point in the point cloud, a probability that the point represents an object belonging to one or more object classes, and determining from the latent representation, for each point in the point cloud, a probability the point represents a ghost object. An object classification network is used for determining the probability that the point represents an object, and a ghost classification network is used for determining the probability the point represents a ghost object.

原文(中文)

A computer-implemented method for classifying points in a point cloud obtained by an active detection and ranging system is provided. The method comprises: computing a latent representation of the point cloud, determining from the latent representation, for each point in the point cloud, a probability that the point represents an object belonging to one or more object classes, and determining from the latent representation, for each point in the point cloud, a probability the point represents a ghost object. An object classification network is used for determining the probability that the point represents an object, and a ghost classification network is used for determining the probability the point represents a ghost object.