Connaught Electronics Limited

Myles Friel

Pantelis Ermilios

Ciaran Hughes

Bryan Mcnamara

William O'Grady

Jonathan Horgan

Ciarán Hughes

Ciáran Hughes

The invention relates to a method for detecting a rolling shutter effect in images of an environmental region () of a motor vehicle () captured by an image sensor of at least one camera () of the motor vehicle () comprising a plurality of sensor lines (), including the following steps: a) determining a first position (P) on a sensor plane () of the image sensor corresponding to a feature () when capturing a first image and identifying a second position (P) on the sensor plane () corresponding to the feature () when capturing a second image, b) determining a motion vector (v) characterizing a displacement of the feature () on the sensor plane () between the first position (P) and the second position (P), c) determining a vertical span (&#x394;y) of the motion vector (v) characterizing a number of sensor lines () at least partially covered by the motion vector (v), d) detecting the rolling shutter effect based on the vertical span (&#x394;y). I addition, the invention relates to a computing device (), a driver assistance system () as well as a motor vehicle ().

Method for detecting a rolling shutter effect in images of an environmental region of a motor vehicle, computing device, driver assistance system as well as motor vehicle

The invention relates to a method for detecting an object () alongside a road () of a motor vehicle () based on at least two images () of an environmental region () of the motor vehicle () consecutively captured by at least one vehicle-side camera () for extrinsic calibration of the at least one camera (), wherein the images () at least partially display a texture of a road surface () and wherein the following steps are performed: a) determining at least two mutually corresponding blocks () based on the at least two images (); b) determining respective motion vectors for each of the at least two pairs of mutually corresponding blocks (); c) determining a depth information concerning the at least two images () based on the at least two motion vectors; d) detecting the object () based on the depth information. The invention also relates to a computing device (), a driver assistance system () as well as a motor vehicle ().

Method and system for detecting an object alongside a road of a motor vehicle based on at least two images of an environmental region of the motor vehicle

The invention relates to a method for motion estimation between two images of an environmental region () of a motor vehicle () captured by a camera () of the motor vehicle (), wherein the following steps are performed: a) determining at least two image areas of a first image as at least two first blocks (B) in the first image, b) for each first block (B), defining a respective search region in a second image for searching the respective search region in the second image for a second block (B) corresponding to the respective first block (B); c) determining a cost surface () for each first blocks (B) and its respective search region; d) determining an averaged cost surface () for one of the at least two first blocks (B) based on the cost surfaces (); d) identifying a motion vector (v) for the one of the first blocks (B) describing a motion of a location of the first block (B) in the first image and the corresponding second block (B) in the second image. The invention also relates to a computing device (), a driver assistance system () as well as a motor vehicle ().

Method for motion estimation between two images of an environmental region of a motor vehicle, computing device, driver assistance system as well as motor vehicle

A method for operating a driver assistance system of a motor vehicle is provided. A first image sequence of a first rear environmental region of the motor vehicle is provided by a first camera system of an electronic rearview mirror and the first image sequence is displayed on a display device of the electronic rearview mirror disposed in an interior of the motor vehicle. Furthermore, a second image sequence of a second environmental region of the motor vehicle, which overlaps with the first environmental region at least in certain areas, is provided by a second camera system of an environmental capturing device. The electronic rearview mirror is then checked for presence of a malfunction by a computing device of the driver assistance system and the second image sequence is displayed on the display device of the electronic rearview mirror when the malfunction is present.

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Tuam, Ireland

Myles Friel