Gm Global Technolgoy Operations, Inc.

Eran Kishon

Tzvi Philipp

Dan Levi

Ronit Bustin

Joseph Kampeas

Michael Slutsky

Asaf Degani

Yael Shmueli Friedland

Emanuel Mordechai

Ragunathan Rajkumar

Weijing Shi

A method of controlling a color display screen aboard a motor vehicle includes performing, via a host computer, a color calibration test of a user of the motor vehicle in which the user is subjected to a calibrated set of color-coded test information. The method includes receiving a color perception response of the user to the calibrated set of color-coded test information via the host computer. Additionally, the method includes mapping a reduced visual gamut of the user via the host computer using the color perception response, and then commanding adjustment of user-specific color settings of the motor vehicle using the reduced visual gamut to thereby accommodate a color perception deficiency of the user.

Vehicle display control for color-impaired viewers

A visual perception system includes a scanning camera, color sensor with color filter array (CFA), and a classifier node. The camera captures full color pixel images of a target object, e.g., a traffic light, and processes the pixel images through a narrow band pass filter (BPF), such that the narrow BPF outputs monochromatic images of the target object. The color sensor and CFA receive the monochromatic images. The color sensor has at least three color channels each corresponding to different colors of spectral data in the monochromatic images. The classifier node uses a predetermined classification decision tree to classify constituent pixels of the monochromatic images into different color bins as a corresponding color of interest. The color of interest may be used to perform a control action, e.g., via an automated driver assist system (ADAS) control unit or an indicator device.

Generation of artificial color images from narrow spectral band data aboard a camera-equipped vehicle

A vehicle and a system and method of operating the vehicle based on a gesture made by a traffic director. The system includes a camera and at least one neural network. The camera obtains an image of a flag operator. The at least one neural network is to generates an encoded hand vector based on a configuration of a hand of the traffic director from the image, combines a skeleton of the traffic director generated from the image and the encoded hand vector to generate a representation vector, and predicts a gesture of the traffic director from the representation vector.

Flagman traffic gesture recognition

A vehicle communication and control system includes a first vehicle in signal communication with a remote computing system and/or a second vehicle. The first vehicle includes a sensor configured to capture a raw image having a first image volume and including at least one target object. An image encoder included in the vehicle converts the raw image into a masked image having a second image volume that is less than the first image volume. A segmentation unit included in the remote computing system and/or the second vehicle determines the at least one target object from the masked image, generates a masked segmented image including a sparse segmentation of the at least one target object, and converts the sparse segmentation of the at least one target object into at least one recovered segmented target object indicative of the at least one target object.

Remote segmentation under limited computational resources and rate constraints

A method in a rate adaptive system includes categorizing, by an encoder, a plurality of clusters of data in a segmented image into one of a plurality of categories corresponding to a different predetermined label with a predetermined priority level; vectorizing, by the encoder, the data to generate a sparse vector xfor its corresponding label; encoding, by the encoder, a plurality of the sparse vectors xby multiplying a measurement matrix A(t) with the sparse vector xto generate a set of encoded information y; transmitting, by the encoder to the decoder, the plurality of sets of the encoded information yin a prioritized order; decoding, by the decoder, the plurality of sets of encoded information yto determine the plurality of the sparse vectors xbased on determining measurement matrix A(t); and uniting the plurality of the sparse vectors xinto a single image frame.

Rate adaptive encoding decoding scheme for prioritized segmented data

The present application relates to a method and apparatus for generating a three-dimensional point cloud generation using a polarimetric camera in a drive assistance system equipped vehicle including a camera configured to capture a color image for a field of view and a polarimetric data of the field of view, a processor configured to perform a neural network function in response to the color image and the polarimetric data to generate a depth map of the field of view, and a vehicle controller configured a perform an advanced driving assistance function and to control a vehicle movement in response to the depth map.

Growing community of inventors

Hod Hasharon, Israel

Eran Kishon