Autonomous mobile apparatus and control method thereof

    公开(公告)号:US11579624B2

    公开(公告)日:2023-02-14

    申请号:US16935234

    申请日:2020-07-22

    Abstract: The present disclosure provides an autonomous mobile apparatus and a control method thereof. The method includes: starting a SLAM mode; obtaining first image data captured by a first camera; extracting a first tag image of positioning tag(s) from the first image data; calculating a three-dimensional camera coordinate of feature points of the positioning tag(s) in a first camera coordinate system of the first camera based on the first tag image; calculating a three-dimensional world coordinate of the feature points of the positioning tag(s) in a world coordinate system based on a first camera pose of the first camera when obtaining the first image data in the world coordinate system and the three-dimensional camera coordinate; and generating a map file based on the three-dimensional world coordinate of the feature points of the positioning tag(s).

    LOOP CLOSURE DETECTION METHOD, MOBILE DEVICE AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20220036065A1

    公开(公告)日:2022-02-03

    申请号:US16953378

    申请日:2020-11-20

    Abstract: The present disclosure provides a loop closure detection method, a mobile device, and a computer readable storage medium. The method includes: collecting images in different detection directions simultaneously through C0 cameras installed on the mobile device to obtain an image data group comprising C0 images; calculating feature information of each image in the image data group; performing a loop closure detection in C0 sub-threads respectively based on the feature information to obtain a loop closure detection result of each sub-thread; and determining a loop closure detection result of the mobile device based on the loop closure detection result of each sub-thread. In this manner, cross detections in a plurality of detection directions can be realized, which breaks through the limitation of loop closure detection in the prior art with respect to path direction, avoids repeated paths in the same direction, and greatly improves the mapping efficiency.

    MAP BUILDING METHOD, COMPUTER-READABLE STORAGE MEDIUM AND ROBOT

    公开(公告)号:US20210183116A1

    公开(公告)日:2021-06-17

    申请号:US17075727

    申请日:2020-10-21

    Abstract: A method for building a map includes: acquiring an original grayscale map, preprocessing the original grayscale map to obtain a preprocessed map, binarizing the preprocessed map to obtain a binarized map, performing a boundary filling to the preprocessed map and the binarized map to obtain a boundary-filled preprocessed map and a boundary-filled binarized map, performing a boundary thinning to the boundary-filled binarized map to obtain a thinned binarized map, and performing a boundary thinning to the boundary-filled preprocessed map, according to the thinned binarized map, to obtain a thinned preprocessed map.

    Map building method, computer-readable storage medium and robot

    公开(公告)号:US11593974B2

    公开(公告)日:2023-02-28

    申请号:US17075727

    申请日:2020-10-21

    Abstract: A method for building a map includes: acquiring an original grayscale map, preprocessing the original grayscale map to obtain a preprocessed map, binarizing the preprocessed map to obtain a binarized map, performing a boundary filling to the preprocessed map and the binarized map to obtain a boundary-filled preprocessed map and a boundary-filled binarized map, performing a boundary thinning to the boundary-filled binarized map to obtain a thinned binarized map, and performing a boundary thinning to the boundary-filled preprocessed map, according to the thinned binarized map, to obtain a thinned preprocessed map.

    VISUAL POSITIONING METHOD, MOBILE MACHINE USING THE SAME, AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20220392103A1

    公开(公告)日:2022-12-08

    申请号:US17488343

    申请日:2021-09-29

    Abstract: A visual positioning method and a mobile machine using the same are provided. The method includes: extracting a plurality of corner feature points corresponding to a current image; determining whether a distance between each pair of the plurality of corner feature points is less than a first preset threshold; if yes, determining whether a grayscale value of each of the plurality of corner feature points with the distance less than the first preset threshold is within a second preset threshold range; if yes, obtaining cluster set(s) of the corner feature points; screening a plurality of valid feature points from the cluster set(s); determining a positioning reliability based on a ratio of amount of the valid feature points to an amount of the plurality of corner feature points; and if the positioning reliability is within a preset range, performing a visual positioning based on the positioning reliability.

    RELOCATION METHOD, MOBILE MACHINE USING THE SAME, AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20220147754A1

    公开(公告)日:2022-05-12

    申请号:US17463523

    申请日:2021-08-31

    Abstract: A relocation method and a mobile machine using the same are provided. The method includes: obtaining a global map and a current scan map of a target scene where a mobile machine is located, and generating a local sub-map based on the global map; obtaining a black boundary in the local sub-map, determining a length and a curve complexity of the black boundary, and determining a weight of the black boundary based on the length and the curve complexity of the black boundary; determining an estimated pose and a target black boundary based on the local sub-map and the current scan image, and obtaining a matching value between the current scan image and the local sub-map based on a weight of the target black boundary; and determining the estimated pose as a relocated pose of the mobile machine in response to the matching value being larger than a preset threshold.

    Relocation method, mobile machine using the same, and computer readable storage medium

    公开(公告)号:US11983916B2

    公开(公告)日:2024-05-14

    申请号:US17463523

    申请日:2021-08-31

    CPC classification number: G06V10/751 G06V10/759

    Abstract: A relocation method and a mobile machine using the same are provided. The method includes: obtaining a global map and a current scan map of a target scene where a mobile machine is located, and generating a local sub-map based on the global map; obtaining a black boundary in the local sub-map, determining a length and a curve complexity of the black boundary, and determining a weight of the black boundary based on the length and the curve complexity of the black boundary; determining an estimated pose and a target black boundary based on the local sub-map and the current scan image, and obtaining a matching value between the current scan image and the local sub-map based on a weight of the target black boundary; and determining the estimated pose as a relocated pose of the mobile machine in response to the matching value being larger than a preset threshold.

    Loop closure detection method, mobile device and computer readable storage medium

    公开(公告)号:US11423646B2

    公开(公告)日:2022-08-23

    申请号:US16953378

    申请日:2020-11-20

    Abstract: A loop closure detection method, a mobile device, and a computer readable storage medium are provided. The method includes: collecting images in different detection directions simultaneously through C0 cameras installed on the mobile device to obtain an image data group comprising C0 images; calculating feature information of each image in the image data group; performing a loop closure detection in C0 sub-threads respectively based on the feature information to obtain a loop closure detection result of each sub-thread; and determining a loop closure detection result of the mobile device based on the loop closure detection result of each sub-thread. In this manner, cross detections in a plurality of detection directions can be realized, which breaks through the limitation of loop closure detection in the prior art with respect to path direction, avoids repeated paths in the same direction, and greatly improves the mapping efficiency.

Patent Agency Ranking