CONTROLLING UNMANNED AERIAL VEHICLES TO AVOID OBSTACLE COLLISION

    公开(公告)号:US20170193830A1

    公开(公告)日:2017-07-06

    申请号:US15394647

    申请日:2016-12-29

    Abstract: A method, device, framework, and system provide the ability to control an unmanned aerial vehicle (UAV) to avoid obstacle collision. Range data of a real-world scene is acquired using range sensors (that provide depth data to visible objects). The range data is combined into an egospace representation (consisting of pixels in egospace). An apparent size of each of the visible objects is expanded based on a dimension of the UAV. An assigned destination in the real world scene based on world space is received and transformed into egospace coordinates in egospace. A trackable path from the UAV to the assigned destination through egospace that avoids collision with the visible objects (based on the expanded apparent sizes of each of the visible objects) is generated. Inputs that control the UAV to follow the trackable path are identified.

    MINIMAL STATE AUGMENTATION ALGORITHM FOR STEREO-VISION-BASED NAVIGATION

    公开(公告)号:US20250027777A1

    公开(公告)日:2025-01-23

    申请号:US18778787

    申请日:2024-07-19

    Abstract: A method to perform vision based navigation on a moving vehicle. An image processor receives reference images with associated depth information as base frames or search frames. 2D features are detected in base frames and tracked in subsequent search frames. A new base frame is triggered when a number of features or a spatial distribution fall under thresholds. A depth processor reconstructs the depth and 3D position of each of the 2D features. A track manager manages a feature list database mapping the 2D coordinates of each tracked 2D feature with the 3D coordinate of that feature. A state manager constructs a filter state vector with 15 error states propagated at an IMU rate and 6 additional error states corresponding to clones of pose states. A visual updater utilizes the tracked 2D feature coordinates to update the filter state vector. A filter forms residuals and corrects inertial error drift.

    METHOD AND SYSTEM FOR ON-BOARD LOCALIZATION
    6.
    发明公开

    公开(公告)号:US20230360547A1

    公开(公告)日:2023-11-09

    申请号:US18312444

    申请日:2023-05-04

    CPC classification number: G08G5/0069 G06V20/17

    Abstract: A method and system provide for on-board localization in a unmanned aerial system (UAS). A map image if generated (using previously acquired images) of an area that the UAS is overflying. The map image is then processed by orthorectifying, referencing the map image in a global reference frame, and generating an abstract map by detecting features and locating the features in the global reference frame. The UAS is then localized by acquiring camera images during flight, selecting a subset of the camera images as localization images, detecting on-board image features (in the localization images), mapping features from the detected on-board image features to the abstract map, deleting outliers to determine an estimated 3D pose, and refining the 3D pose. The localized UAS then used to autonomously navigate the UAS.

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