Localization method and helmet and computer readable storage medium using the same

    公开(公告)号:US11416719B2

    公开(公告)日:2022-08-16

    申请号:US17012016

    申请日:2020-09-03

    Abstract: The present disclosure provides a localization method as well as a helmet and a computer readable storage medium using the same. The method includes: extracting first feature points from a target image; obtaining inertial information of the carrier, and screening the first feature points based on the inertial information to obtain second feature points; triangulating the second feature points of the target image to generate corresponding initial three-dimensional map points, if the target image is a key frame image; performing a localization error loopback calibration on the initial three-dimensional map points according to at least a predetermined constraint condition to obtain target three-dimensional map points; and determining a positional point of the specific carrier according to the target three-dimensional map points. In this manner, the accuracy of the localization of a dynamic object such as a person when moving can be improved.

    NAVIGATION MAP UPDATING METHOD AND APPARATUS AND ROBOT USING THE SAME

    公开(公告)号:US20210190513A1

    公开(公告)日:2021-06-24

    申请号:US16843923

    申请日:2020-04-09

    Abstract: The present disclosure discloses a navigation map updating method as well as an apparatus, and a robot using the same. The method includes: controlling a robot to move along a designated path after a successful relocalization of the robot, and recording key frame data of each frame on the designated path and a corresponding pose; creating a new navigation map, and copying information in an original navigation map into the new navigation map; and covering the key frame data of each frame on the designated path onto the new navigation map to obtain an updated navigation map. In this manner, there is no need for the user to manipulate the robot to recreate the map at the environment where the robot is operated, which saves a lot of time and manpower.

    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.

    Robot path planning method and apparatus and robot using the same

    公开(公告)号:US11161246B2

    公开(公告)日:2021-11-02

    申请号:US16734402

    申请日:2020-01-05

    Abstract: The present disclosure provides a robot path planning method as well as an apparatus and a robot using the same. The method includes: obtaining a grid map and obtaining a position of obstacle and a position of track in the grid map; determining a cost of grids of the grid map based on the position of obstacle and the position of track; generating a grid cost map based on the cost of the grids and the grid map; and planning a global path of the robot from a current position to a destination position based on the grid cost map. In this manner, it effectively integrates free navigation and track navigation, thereby improving the flexibility of obstacle avoidance and ensuring the safety of obstacle avoidance of the robot.

    Relocalization method and robot using the same

    公开(公告)号:US11045953B2

    公开(公告)日:2021-06-29

    申请号:US16427349

    申请日:2019-05-31

    Abstract: The present disclosure provides a relocalization method including: obtaining submap boundary points; drawing a first submap based on the submap boundary points; extracting a second submap from the first submap; performing a template matching on a known map based on the second submap to obtain first matching results; obtaining second matching result each corresponding to each of the first matching results based on a positional relationship of the second submap in the first submap: matching boundary points in each of the second matching results with the submap boundary points to filter out third matching results from the second matching results; and selecting one of the third matching results as a relocalization result. The present disclosure further provides a robot. In the above-mentioned manner, it is capable of realizing a re localization with high accuracy, high preciseness, and low error rate while there are environmental changes.

    ROBOT POSE DETERMINATION METHOD AND APPARATUS AND ROBOT USING THE SAME

    公开(公告)号:US20210060802A1

    公开(公告)日:2021-03-04

    申请号:US16709931

    申请日:2019-12-11

    Abstract: The present disclosure provides a robot pose determination method including: collecting laser frames; calculating a current pose of the robot in a map pointed by a first pointer based on the laser frames, and obtaining an amount of the laser frames having been inserted into the map pointed by the first pointer; inserting the laser frames into a map pointed by the first pointer, if less than a first threshold; inserting the laser frames into the map pointed by the first pointer and a map pointed by a second pointer, if greater than or equal to the first threshold and less than a second threshold; and pointing the first pointer to the map pointed by the second pointer, pointing the second pointer to a newly created empty map, and inserting the laser frames into the map pointed by the first pointer, if equal to the second threshold.

    Positioning method and robot using the same

    公开(公告)号:US10783661B2

    公开(公告)日:2020-09-22

    申请号:US16416281

    申请日:2019-05-20

    Abstract: The present disclosure provides a positioning method and a robot using the same. The method includes: obtaining, through the visual sensor, a current frame image; obtaining, through the ultra-wideband tag, distance of a robot from an ultra-wideband anchor; performing a feature matching on the current frame image and an adjacent frame image to generate partial map point(s); determining whether the current frame image is a key frame image; and optimizing a pose of the visual sensor corresponding to the key frame image through a joint objective function in response to the current frame image being the key frame image, where the joint objective function at least comprises a distance cost function of the ultra-wideband anchor and a visual residual cost function. Through the above-mentioned method, the accuracy of the positioning of the robot can be improved.

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