Gentex Corporation

Mayo Foundation for Medical Education and Research

David J Wright

David M Falb

Jeremy A Schut

Danny L Minikey, Jr

Bradley R Hamlin

Jason D Hallack

Mark A VanVuuren

Gregory S Bush

Jon Harold Bechtel

Jeremy C Andrus

Tom B Sherman

Jim L Schneider

Oliver Max Jeromin

Sergio E Murillo Amaya

Oliver M Jeromin

Danny L Minikey

Mark A Vanvuuren

A method for controlling an illumination system includes detecting a first position of a marker in image data. In response to the first position, a first light target for the first light emission is identified. Controlling a light assembly to direct the first light emission to the first light target and maintaining the first light emission directed to the first light target. The method further includes detecting a second position of the marker in the image data. A second light target for the second light emission is identified in response to the second position. The light assembly is controlled to direct the second light emission to the second light target.

Control for adaptive lighting array

A display system for a medical suite comprises a scanning device configured to capture scanning data in the medical suite. At least one display configured to display information in an operating region of the medical suite. A controller is in communication with the scanning device and the display. The controller is configured to control the scanning device to capture identifying information of a patient. Based on the identifying information, the controller is configured to authenticate an identity of the patient. Based on the identity, the controller is configured to access a patient record for the patient. The controller is further configured to control the at least one display to display information based on the patient record.

Authentication and informational displays with adaptive lighting array

An illumination system for a room comprises a light assembly comprising at least one illumination source configured to selectively direct at least one light emission in an operating region of the room. The system further comprises an imager configured to capture image data in a field of view in the room. A controller is in communication with the light assembly and the imager. The controller is configured to detect a position of the marker in the image data and control the light assembly to direct the at least one light emission within the operating region based on the position of the marker.

A system for calculating a visibility range from a vehicle is disclosed. The system comprises a high dynamic range image sensor system comprising a pixel array including a plurality of pixels. The image sensor further includes readout circuitry in electrical communication with each pixel of the pixel array. The readout circuitry is operable to readout a distinct pixel value corresponding to one of a plurality of exposure times for each pixel in a single image frame. The system further comprises at least one processor in communication with the readout circuitry. The processor is operable to calculate a visibility range from the vehicle based on a plurality of image processing algorithms.

System and method for visibility range detection

An imaging system and method for a vehicle is provided, and includes an imager configured to image a scene external and forward of the vehicle and to generate image data corresponding to the acquired images. A controller is configured to receive the image data and analyze an optical flow between successive image frames to compute a relative motion between the imager and the imaged scene, wherein the optical flow includes a pattern of apparent motion of objects of interest in the successive image frames.

Imaging system and method with ego motion detection

A method and system are provided to image an external scene by employing a custom image sensor. The custom image sensor may use a GRRB array to filter the images of oncoming and preceding vehicle taillights captured by a vehicle camera. The method and system may also calculate a GRRB color metric for use in the custom image sensor by performing interpolation on a number of color channels, summing the brightness values for each of the color channels interpolated, normalizing each of the brightness values, and converting the normalized brightness values from an RGB scale to a linear scale of non-red to red.

Method and system for imaging an external scene by employing a custom image sensor

An automatic vehicle equipment control system and methods thereof are provided, the system includes at least one imager configured to acquire a continuous sequence of high dynamic range single frame images, a processor, a color spectral filter array including a plurality of color filters, at least a portion of which are different colors, and pixels of an imager pixel array being in optical communication with substantially one spectral color filter, and a lens, wherein the imager is configured to capture a non-saturated image of nearby oncoming headlamps and at least one of a diffuse lane marking and a distant tail lamp in one image frame of the continuous sequence of high dynamic range single frame images, and the system configured to detect at least one of said highway markings and said tail lamps, and quantify light from the oncoming headlamp from data in the one image frame.

Automatic vehicle equipment monitoring, warning, and control system

An exterior light control system is provided for controlling exterior lights of a vehicle. The system includes an imaging system configured to image a forward external scene and to generate image data corresponding to the acquired images; and a controller configured to receive and analyze the image data and for generating an exterior light control signal that is used to control the exterior lights in response to analysis of the image data and in response to a selected mode of operation. When in the motorway mode, if the controller detects headlamps of one or more oncoming vehicle, the controller generates an exterior light control signal for reducing the brightness of the exterior lights, determines a relative location within the acquired images of a headlamp closest to a central feature of the acquired images, and selects a delay that varies dynamically in response to the relative location of the headlamp.

System and method for controlling exterior vehicle lights on motorways

A classification system and method are provided, wherein the classification system includes a memory device, a processor communicatively connected to the memory device, and an input communicatively connected to the processor, wherein the input is configured to receive data comprising at least one object that is to be classified as one of an object of interest (OOI) and a nuisance of interest (NOI) based upon at least one non-Boolean attribute of the object, wherein the processor is configured as a Bayesian classifier to classify the object based upon the non-Boolean attribute using a non-linear probability function.

Growing community of inventors

Grand Rapids, MI, United States of America

David J Wright