Adasky, Ltd.

Yonatan Dishon

Oleg Kuybeda

Igor Ivanov

Yoav Naveh

Ofer Livny

A method for calibrating a vehicle to infrastructure system using an infrared camera overlooking a road, comprises: obtaining from the camera a first image, each image of the camera having points identifiable in an image coordinate system and corresponding to objects in a real world scene; identifying in the first image a plurality of points each of which corresponds to a respective object that is touching the road's surface; obtaining a measurement that corresponds to a distance from a location of the camera to each respective one of the points in a camera coordinate system (CCS); determining a model of the road in the CCS based on the points and their obtained distances; and calculating a transformation between the CCS and a world coordinate system (WCS) using the road model, the transformation being usable to determine a distance in the WCS to an object in a second image.

Vehicle to infrastructure extrinsic calibration system and method

A system and method for operating a Vehicle to Infrastructure (V2I) system. The method includes receiving images from an infrared (IR) camera, determining whether a non-uniform noise exists within the received images, performing a calibration, upon determining that the non-uniform noise exists, performing a Non-Uniformity Correction (NUC) on the IR, upon determining that there is residual non-uniform noise, after performing the calibration, and determining that the IR camera has not detected a moving object that is approaching the IR camera, determining whether a Field of View (FOV) of the IR camera is occluded, after performing the NUC, and cleaning the IR camera, upon determining that the FOV of the infrared camera is occluded.

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Haifa, Israel

Yonatan Dishon