Stoneridge Electronics Ab

Orlaco Products B.v.

Cadess Medical Ab

Milan Gavrilovic

Brad Corrodi

Christer Busch

Bárbara Martín Leung

Pontus Olsson

Jimmy C Azar

Ingrid B Carlbom

Anisse Taleb

Alfred Van Den Brink

Frans Kievith

Annette Lef

Parinaz Kasebzadeh

Andreas Nylund

A commercial shipping asset including a plurality of sensors disposed on the commercial shipping asset. A controller is communicatively connected to each sensor in the plurality of sensors. The controller further includes a master asset identifier and a receiver. The controller is configured to implement a dynamic information discovery protocol.

System and process for dynamic information discovery between commercial shipping assets

A vehicle controller including a driver assistance module configured to perform at least one of an automated and a semi-automated driver assistance function. The at least one of the automated and the semi-automated driver assistance function including a rated operational domain. The vehicle controller also including an image based operational domain detector including at least one channel configured to receive an image from a frame buffer and determine at least part of an operational domain of at least one camera originating the image based at least in part on the image.

Operational design domain detection for advanced driver assistance systems

A method for pairing commercial shipping assets includes identifying the presence of a second asset using a sensor system of a first asset, retrieving a master asset identifier of the second asset using a controller of the first asset, physically connecting the first asset and the second asset, and updating a dynamic information discovery protocol environment.

System and process for pairing commercial shipping assets within a dynamic information discovery protocol

A method for operating a commercial shipping asset includes entering one of a docking and an undocking mode of operations using a vehicle controller of a commercial shipping asset, identifying at least one trusted video source remote from the commercial shipping asset, determining a distance between the commercial shipping asset and at least one object based at least in part on an image analysis of a video feed from the trusted video source, and responding to the determined distance by providing at least one of a warning to an operator of the commercial shipping asset and adjusting an automated or semi-automated operation of the commercial shipping asset.

Camera assisted docking system for commercial shipping assets in a dynamic information discovery protocol environment

A measurement system for a vehicle including a first camera defining a field of view having a corresponding optical axis, and a motion detection sensor mechanically fixed to the first camera such that the motion detection sensor is configured to detect motion of the optical axis.

Camera image and sensor fusion for mirror replacement system

A camera mirror system for a vehicle includes a camera system having at least a first and second field of view of a scene. The first and second fields of view include a shared overlap area. At least one display is configured to display the first and second fields of view to provide a complete view of the scene comprising the first and second fields of view adjoining at a stitching interface corresponding to an intersection of the first and second fields of view in the overlap area. At least one object detector is configured to detect an object in the scene. A controller is in communication with the camera system, the at least one object detector, and the at least one display. The controller includes a stitching algorithm configured to evaluate the proximity of the object to the overlap area and adjust at least one of the first and second fields of view to move the stitching interface and ensure the object is depicted on the at least one display.

Mirror replacement system with dynamic stitching

A vehicle includes a vehicle body having a camera and at least one ego part connection. An ego part is connected to the vehicle body via the ego part connection. A collision detection system is communicatively coupled to the camera and is configured to receive a video feed from the camera. The collision detection system being configured to identify an exclusion region of each frame corresponding to the ego part, perform an object detection on a remainder of each frame, and generate a collision detection warning in response to an object being detected by the object detection system.

Method for creating a collision detection training set including ego part exclusion

A method measures the efficacy of a stain/tissue combination for histological tissue image data comprising a set of pixels. The measures of efficacy comprise a statistical measure of clustering performance of the different stain/tissue combinations in the Maxwellian Chromaticity plane, and a representative density of the stain/tissue combinations in the density maps. The method captures histological tissue image data using a light absorbent stain; transforms the histological tissue image data to optical density data; projects the optical density data to the Maxwellian Chromaticity plane; identifies at least one reference color using a statistical technique; inverts the reference color to form a color mixing matrix; derives a density map; derives a statistical measure for the clustering performance of the different stain/tissue combinations in the Maxwellian Chromaticity plane; and finds a representative density of the stain/tissue combinations in the density maps.

Methods for measuring the efficacy of a stain/tissue combination for histological tissue image data

The method according to the invention generates a color decomposition of histological tissue image data into density maps, where each density map corresponds to the portion of the original image data that contains one stain/tissue combination. After a microscope captures histological tissue image data from a tissue sample that has been stained with at least one stain, the said stain or stains being light absorbent, the method derives from the histological tissue image data a color mixing matrix with the columns of the matrix being color reference vectors. From this mixing matrix the method derives a density map, when the mixing matrix is well-conditioned, by applying a pseudo-inverse of the mixing matrix to the optical density data, and when the mixing matrix is medially-conditioned, by applying a piece-wise pseudo-inverse of the mixing matrix to the optical density data. The method according to the invention also generates stain/tissue combination efficacy measures.

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Uppsala, Sweden

Milan Gavrilovic