Method and sensor apparatus for generating an object classification for an object

    公开(公告)号:US11455503B2

    公开(公告)日:2022-09-27

    申请号:US17030700

    申请日:2020-09-24

    Applicant: Axis AB

    Abstract: Apparatus are provided for generating an object classification for an object, the apparatus comprising an image sensor, a radar sensor, and a processing unit, the processing unit configured to perform the steps of: receiving image data for the object from the image sensor, operating an image-based object classifier on the image data to generate an image-based object classification, receiving radar data for the object from the radar sensor, operating a radar-based object classifier on the radar data to generate a radar-based object classification, selecting between the image-based object classification and the radar-based object classification to output as the object classification for the object, determining if a training condition is met by the radar-based object classification, and training the radar-based object classifier using the image-based object classification when the training condition is met by the radar-based object classification.

    METHOD, DEVICE AND SYSTEM FOR MAPPING POSITION DETECTIONS TO A GRAPHICAL REPRESENTATION

    公开(公告)号:US20180292526A1

    公开(公告)日:2018-10-11

    申请号:US15945457

    申请日:2018-04-04

    Applicant: AXIS AB

    Abstract: A method, device and system for generating a transformation function, mapping position detections of objects in a scene, detected with a positioning device, to a graphical representation of the scene. The teachings enable the detected positions by the positioning device to be mapped to the graphical representation of the monitored scene without the need of previous references to geographical coordinate systems for the positioning device and the graphical representation of the scene. Virtually any type of image may hence be used as a graphical representation of the scene, even hand-drawn sketches.

    Multipath classification in radar detections

    公开(公告)号:US12276722B2

    公开(公告)日:2025-04-15

    申请号:US17748223

    申请日:2022-05-19

    Applicant: Axis AB

    Abstract: A method for classifying tracks in radar detections of a scene acquired by a stationary radar unit, comprises: acquiring radar detections of the scene using the static radar unit; feeding at least a portion of the radar detections into a tracker module for producing track-specific feature data indicating a specific track in the scene, feeding at least a portion of the radar detections into a scene model comprising information about scene-specific features aggregated over time, and information indicating areas in the scene with expected ghost target detections and areas with expected real target detections, wherein at least a subset of the scene-specific features is determined from the radar detections; classifying the specific track as belonging to a real target or to a ghost target by relating the specific track to a position in the scene model.

    Method of determining a transformation matrix

    公开(公告)号:US10970861B2

    公开(公告)日:2021-04-06

    申请号:US16408743

    申请日:2019-05-10

    Applicant: Axis AB

    Abstract: A method (200) of determining a transformation matrix for transformation of ranging data from a first coordinate system for the ranging sensor to a second coordinate system for an image sensor is disclosed. The method comprises providing (201) a ranging sensor and an image sensor; acquiring (202) a ranging frame sequence, and an image frame sequence; determining (203) points of motion in frames of each acquired frame sequence; for each frame in one of the frame sequences: evaluating (204) if a single motion point has been determined in the frame, and if a single motion point has been determined, evaluating (206) if a single motion point has been determined in a temporally corresponding frame of the other frame sequence and, in that case, pairing (207) the temporally corresponding frames, whereby a set of frame pairs is formed, and determining (209) the transformation matrix based on the set of frame pairs.

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