Positioning Method and Apparatus
AssigneeHuawei Technologies Co., Ltd.
InventorsSunpei Zhang, Yuan Feng, Wei Li, Peng Zhou
Life of this patent
Estimating the term…
Abstract
A positioning method includes clustering points in a first point cloud through multi-clustering to obtain a target point cloud, where the target point cloud represents a feature of a target object, and the first point cloud includes the target point cloud and a point cloud that represents a feature of an interfering object; and determining a position of the target object based on the target point cloud.
Claims20
A positioning method, comprising:
- clustering points in a first point cloud through multi-clustering to obtain a target point cloud, wherein the target point cloud represents a feature of a target object, and wherein the first point cloud comprises the target point cloud and another point cloud that represents a feature of an interfering object;
- and
- determining a position of the target object based on the target point cloud.
A positioning apparatus, comprising:
- a non-transitory storage medium configured to store program instructions;
- and
- a processor coupled to the non-transitory storage medium and configured to execute the program instructions that cause the positioning apparatus to:
- cluster points in a first point cloud through multi-clustering to obtain a target point cloud, wherein the target point cloud represents a feature of a target object, and wherein the first point cloud comprises the target point cloud and another point cloud that represents a feature of an interfering object;
- and
- determining a position of the target object based on the target point cloud.
A computer program product comprising instructions that are stored on a non-transitory computer readable medium and that when executed by a processor, causes an apparatus to:
- cluster points in a first point cloud through multi-clustering to obtain a target point cloud, wherein the target point cloud represents a feature of a target object, and wherein the first point cloud comprises the target point cloud and another point cloud that represents a feature of an interfering object;
- and
- determine a position of the target object based on the target point cloud.
Dependencies are inferred from the claim text.