Gm Global Technolgoy Operations, Inc.

Amit Batikoff

Doron Portnoy

Dan Levi

Michael Baltaxe

Jeremy P Gray

Noa Garnett

Nikhil L Hoskeri

Tal Furman

Shahar Ben Ezra

A system in a vehicle includes an image sensor to obtain images in an image sensor coordinate system and a depth sensor to obtain point clouds in a depth sensor coordinate system. Processing circuitry implements a neural network to determine a validation state of a transformation matrix that transforms the point clouds in the depth sensor coordinate system to transformed point clouds in the image sensor coordinate system. The transformation matrix includes rotation parameters and translation parameters.

Alignment validation in vehicle-based sensors

A method for alignment a lidar with a camera of a vehicle includes: aggregating multiple lidar scans performed by the lidar of a vehicle while the vehicle is in motion to generate an aggregated point-cloud; rendering the aggregate point-cloud onto a camera image to generate a rendered image; comparing the rendered image with the camera image to determine a difference between the rendered image and the camera image, wherein a difference value is indicative of the difference between the rendered image and the camera image is represented; and determining that the camera is aligned with the lidar in response to determining that the difference value is less than or equal to a predetermined threshold.

Rendering-based lidar and camera alignment

Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: determining, by a processor, road features of an upcoming road based on at least one of sensor data and map data; computing, by the processor, a required viewing angle of a sensor based on the road features; computing, by the processor, an operational envelope based on the required viewing angle and a sensor profile, wherein the operational envelope includes points along a map where the sensor can sense; and generating a control signal to disable autonomous control of the vehicle based on the operational envelope.

Methods and systems for controlling automated driving features of a vehicle

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Petach Tikwa, Israel

Amit Batikoff