Combined semantic configuration spaces

    公开(公告)号:US11216014B1

    公开(公告)日:2022-01-04

    申请号:US16528922

    申请日:2019-08-01

    Abstract: Disclosed are systems and methods that generate individual semantic layers for different object types within an environment. For each object type semantic layer and for an aerial vehicle, a semantic configuration space may be formed that indicates all valid aerial vehicle configurations in which the aerial vehicle does not collide with objects of the object type that exists in the environment. Finally, a combined configuration space may be formed by overlaying multiple semantic configuration spaces for object types known to be within the environment. The resulting combined configuration space indicates a common area in which the aerial vehicle can navigate according to the configuration of the common area and not collide with any objects of the object types represented by the combined semantic configuration spaces.

    Machine learning based improvements in estimation techniques

    公开(公告)号:US11531694B1

    公开(公告)日:2022-12-20

    申请号:US16155621

    申请日:2018-10-09

    Abstract: Systems and techniques are disclosed for machine learning based improvements in estimation techniques. An example method includes obtaining a seed specifying a portion of an action for evaluation with respect to a networked computing environment. A description of the action is completed by providing a first recurrent neural network (RNN) with the seed to generate one or more additional words, with the action represented by the description not being enabled yet in the networked computing environment. An estimated down-stream impact (DSI) associated with the action is determined based on a second RNN, with the estimated DSI indicating an estimated measure of impact to the networked computing environment which would be caused by performance of the example action after enabling the example action. Output of an interactive user interface including information representing the action and the estimated DSI is caused.

    Evaluating joints using vibrometric signatures

    公开(公告)号:US11079303B1

    公开(公告)日:2021-08-03

    申请号:US16438383

    申请日:2019-06-11

    Abstract: Vibrometric signatures of portions of a vehicle, such as a joint between two or more aspects of the vehicle, may be generated and used to make determinations regarding the integrity or suitability of the vehicle for one or more missions. Vibrometric signatures are generated based on imaging data captured with the vehicle subjected to excitation over a range of frequencies, and power levels of vibrations of the vehicle are calculated based on the images. Pixels corresponding to surfaces on either side of a joint are selected and vibrometric signatures calculated for such surfaces are compared to determine whether the joint adequately transfers vibrations, or whether the joint is sufficiently tight. Where the vibrometric signatures are sufficiently similar to one another, the joint may be presumed to be tight. Where the vibrometric signatures are not sufficiently similar to one another, the joint is presumed to require maintenance or inspection.

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