Sportsmedia Technology Corporation

Nio Usa, Inc.

Divya Ramakrishnan

Marvin S White

Richard H Cavallaro

Rand Pendleton

Louis Gentry

Roger R Labbe

Radford Parker

Lavanya Sridharan

Prashant Jain

Anthony Tao Liang

Vidya Elangovan

A system for registering one or more cameras and/or creating an accurate three-dimensional (3D) model of a world space environment including back projecting at least one image from at least one of a plurality of camera views to the 3D model based on a set of existing camera parameters. The back projected image is added as a texture for the 3D model. This texture is automatically compared to one or more images from other camera views using a color space comparison of images to determine a set of differences or errors. The camera parameters and the 3D model are automatically adjusted to minimized the differences or errors. Over time, the parameters and the 3D model converge on a state that can be used to track moving objects, insert virtual graphics and/or perform other functions.

Multi view camera registration

A sensor system and a method of operating a sensor system including a plurality of sensors tracking a moving object in an area having known bounding surfaces. The apparatus and method calculate a time-specific position of the object based on data and sensor parameters from at least two of the plurality of sensors and determine errors between the calculated time-specific positions calculated. The method and apparatus calculate a minimum system error attributable to the at least two sensors by constraining at least one dimension in the data of the sensor used in the calculated time-specific position of the object associated with the sensor, the constraining based on an object/surface interaction, the minimum system error calculated by solving for modified sensor parameters for each sensor.

Estimating tracking sensor parametrization using known surface constraints

Embodiments of the present disclosure are directed to providing a more accurate presentation of a vehicle's surroundings when the presentation combines images from multiple cameras. Cameras may capture the same portion of the environment. If an object is within view of at least two cameras, each camera produces a portion of an overall view, such as a 360 degree synthetic top-down view. The seam, angle and/or geometry, angle between any two images is dynamically determined, such as due to proximity (or lack thereof) to an object. As a result the synthetic top-down view may present an image of an object more prominently and/or avoid having the seam between camera images fall on the image of the object, which may otherwise result in the image of the object being omitted from both camera images.

Dynamic seam adjustment of image overlap zones from multi-camera source images

A system for registering one or more cameras and/or creating an accurate three dimensional (3D) model of a world space environment includes back projecting at least one image from at least one of a plurality of camera views to the 3D model based on a set of existing camera parameters. The back projected image is added as a texture for the 3D model. This texture is automatically compared to one or more images from other camera views using a color space comparison of images to determine a set of differences or errors. The camera parameters and the 3D model are automatically adjusted to minimize the differences or errors. Over time, the parameters and the 3D model converge on a state that can be used to track moving objects, insert virtual graphics and/or perform other functions.

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Santa Clara, CA, United States of America

Divya Ramakrishnan