Generalized 3D inverse sensor model

    公开(公告)号:US11372424B2

    公开(公告)日:2022-06-28

    申请号:US15976205

    申请日:2018-05-10

    Abstract: A vehicle, navigation system of the vehicle, and method for observing an environment of the vehicle. The navigation system includes a sensor and a processor. The sensor obtains a detection from an object located in an environment of the vehicle at a with-detection direction with respect to the sensor that includes the detection. The processor determines a no-detection direction that does not include the detection, assigns an empty space likelihood to an occupancy grid of the sensor along the no-detection direction, and generates a map of the environment using the occupancy grid.

    NOISE-ADAPTIVE NON-BLIND IMAGE DEBLURRING

    公开(公告)号:US20220156892A1

    公开(公告)日:2022-05-19

    申请号:US17099995

    申请日:2020-11-17

    Inventor: Michael Slutsky

    Abstract: Systems and methods to perform noise-adaptive non-blind deblurring on an input image that includes blur and noise involve implementing a first neural network on the input image to obtain one or more parameters and performing regularized deconvolution to obtain a deblurred image from the input image. The regularized deconvolution uses the one or more parameters to control noise in the deblurred image. A method includes implementing a second neural network to remove artifacts from the deblurred image and provide an output image.

    Vehicle pose determining system and method

    公开(公告)号:US11168985B2

    公开(公告)日:2021-11-09

    申请号:US16371365

    申请日:2019-04-01

    Abstract: A vehicle pose determining system and method for accurately estimating the pose of a vehicle (i.e., the location and/or orientation of a vehicle). The system and method use a form of sensor fusion, where output from vehicle dynamics sensors (e.g., accelerometers, gyroscopes, encoders, etc.) is used with output from vehicle radar sensors to improve the accuracy of the vehicle pose data. Uncorrected vehicle pose data derived from dynamics sensor data is compensated with correction data that is derived from occupancy grids that are based on radar sensor data. The occupancy grids, which are 2D or 3D mathematical objects that are somewhat like radar-based maps, must correspond to the same geographic location. The system and method use mathematical techniques (e.g., cost functions) to rotate and shift multiple occupancy grids until a best fit solution is determined, and the best fit solution is then used to derive the correction data that, in turn, improves the accuracy of the vehicle pose data.

    Systems and methods for image deblurring in a vehicle

    公开(公告)号:US11127119B1

    公开(公告)日:2021-09-21

    申请号:US16821081

    申请日:2020-03-17

    Abstract: Method and systems for image deblurring in a vehicle. The methods and systems include determining a point spread function based on vehicle motion data and a depth map received from vehicle motion sensors and a depth sensor. A deblur matrix is calculated based on the point spread function. A blurred input image, received from an imaging device, is deblurred based on the deblur matrix to thereby provide a deblurred output image. A function of the vehicle is controlled based on the deblurred output image.

    Method for efficient volumetric integration for 3D sensors

    公开(公告)号:US10816659B2

    公开(公告)日:2020-10-27

    申请号:US15979963

    申请日:2018-05-15

    Abstract: A vehicle, system and method of mapping the environment is disclosed. The system includes a sensor and a processor. The sensor is configured to obtain a detection from an object in an environment surrounding the vehicle. The processor is configured to compute a plurality of radial components and a plurality of angular components for a positive inverse sensor model (ISM) of an occupancy grid, select a radial component corresponding to a range of the detection from the plurality of radial components and selecting an angular component corresponding to an angle of the detection from the plurality of angular components, multiply the selected radial component and the selected angular component to create an occupancy grid for the detection, and map the environment using the occupancy grid.

    LIGHT SENSOR
    17.
    发明申请
    LIGHT SENSOR 审中-公开

    公开(公告)号:US20180058923A1

    公开(公告)日:2018-03-01

    申请号:US15252893

    申请日:2016-08-31

    Abstract: A light sensor includes a primary lens, and a light device spaced from the primary lens. A control structure is disposed between the primary lens and the light device. An actuator is coupled to the control device to move the control device relative to the primary lens and the light device to control the passage of light between the primary lens and the light device. The light sensor may include a light emitting sensor having an array of individual light emitters, or a light detecting sensor having a light detector. The control structure may include an array of secondary bi-telecentric lenses for use with the light emitting sensor, or a plate having an aperture extending therethrough for use with the light detecting sensor.

    OBJECT HEIGHT ESTIMATION USING ULTRASONIC SENSORS

    公开(公告)号:US20240329225A1

    公开(公告)日:2024-10-03

    申请号:US18190437

    申请日:2023-03-27

    CPC classification number: G01S7/539 G01S15/89 G01S2015/938

    Abstract: A disclosure is presented for estimating height of an object using ultrasonic sensors carried onboard a vehicle. The height may be estimated by generating ultrasonic distance measurements based on a time of flight associated with ultrasonic reflections detected with the ultrasonic sensors, generating a three-dimensional (3D) occupancy grid to volumetrically represent at least a portion of an environment within field of view of the ultrasonic sensors, the 3D occupancy grid including a plurality of volumetric pixels (voxels), assigning a count value to each of the voxels based on the distance measurements, and estimating the height according to a relative spatial relationship between the vehicle and the voxel having the count value with a greatest value.

    SYSTEM AND METHOD FOR OCCLUSION RECONSTRUCTION IN SURROUND VIEWS USING TEMPORAL INFORMATION

    公开(公告)号:US20230401728A1

    公开(公告)日:2023-12-14

    申请号:US17835310

    申请日:2022-06-08

    CPC classification number: G06T7/521 G06V20/58 G01S17/89 G06T7/11

    Abstract: A system for occlusion reconstruction in surround views using temporal information is provided. The system includes an active camera device generating image data describing a first view of an operating environment and a computerized visual data controller. The controller includes programming to analyze the image data to generate a three-dimensional computerized representation of the operating environment, utilize the image data and the representation of the operating environment to synthesize a virtual camera view of the operating environment from a desired viewpoint, and identify an occlusion in the virtual camera view. The controller further includes programming to utilize historical iterations of the image data identify immobile objects within the operating environment and utilize the historical iterations to estimate filled information for the occlusion. The controller further includes programming to reconstruct the occlusion with the filled information using pixel data from the immobile objects and utilize the representation to provide navigational guidance.

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