Valeo Schalter Und Sensoren Gmbh

Nikolai Sergeev

Javier Rosales

Lukasz Niestoruk

Andreas Strednicki

Thiel Daniel

According to a method for determining a pitch angle position of an active optical sensor system (), which is mounted on a motor vehicle (), a scatter plot () is generated by means of the sensor system (). The scatter plot () includes a first and a second subset () of scan points of the roadway (). A first pair (A, B) of scan points is identified by means of a computing unit, wherein a point (A) is part of the first subset (), a further point (B) is part of the second subset (), and a projection (') of a first connection vector () of the first pair (A, B) is in a transmission plane parallel to a longitudinal axis of the sensor system (). A first angle (δ) which encloses the first connection vector () with the longitudinal axis () of the sensor system () is determined by means of the computing unit ().

Determining a pitch angle position of an active optical sensor system

A method for determining a roll angle (α) of an optoelectronic sensor of a motor vehicle, wherein the optoelectronic sensor comprises at least one transmitter device, at least one receiver unit and at least one evaluation unit is disclosed. The method involves emitting light beams into surroundings of the vehicle by the transmitter device, receiving light beams reflected at an object by the receiver unit, wherein the received light beams are represented by the evaluation unit as scan points in a sensor image of the surroundings of the motor vehicle, wherein the roll angle (α) is determined by the evaluation unit between at least one scan axis and at least one reference axis, wherein the scan axis is formed by at least one scan point of a ground structure and a reference point of the reference axis of the optoelectronic sensor.

Method for determining a roll angle of an optoelectronic sensor by means of scan points of a sensor image, and optoelectronic sensor

A method for determining at least one alignment of an optoelectronic sensor of a motor vehicle relative to the vehicle involves emitting light beams into surroundings of the vehicle by a transmitter device, and receiving light beams reflected at an object by a receiver unit of the sensor. The received light beams are represented as scan points in a sensor image of the surroundings of the vehicle generated by the optoelectronic sensor, and each scan point is assigned to a receiver element. A sensor coordinate system is determined in the generated image using at least two received scan points of the first receiver element, and a reference coordinate system is determined in the generated image using at least one scan point of the first and second receiver elements. An angular deviation is determined by a comparison of the coordinate systems for determining the at least one alignment of the sensor.

Method for determining an alignment of an optoelectronic sensor by means of scan points of a sensor image, and optoelectronic sensor

The invention relates to a method for classifying a traffic sign () in an environment region () of a motor vehicle () as a traffic sign sticker () located on an industrial or commercial vehicle () or as a stationary traffic sign (), wherein in the method at least one first image () of the environment region (), captured by a camera () of the motor vehicle (), is received and the traffic sign () is recognized in the at least one first image (), wherein a geometric dimension (D', D&#x2032;) of the traffic sign () in the first image () is determined on the basis of said first image (), a first reference dimension (Dmin, Dmax), which is characteristic of a stationary traffic sign (), is prescribed for the captured traffic sign (), a first position (Pmin, Pmax) of the traffic sign () in the environment region () is estimated based on the geometric dimension (D&#x2032;, D&#x2032;) of the traffic sign () in the first image () and on the basis of the first reference dimension (Dmin, Dmax), and the traffic sign () is classified as the traffic sign sticker () or as the stationary traffic sign () based on the estimated first position (Pmin, Pmax). The invention additionally relates to a computational apparatus (), a driver assistance system () and a motor vehicle ().

Method for classifying a traffic sign, or road sign, in an environment region of a motor vehicle, computational apparatus, driver assistance system and motor vehicle

A method for identifying an object in a surrounding region of a motor vehicle as a stationary object is disclosed. The surrounding region is captured in images using a vehicle-side capture device and the object is detected in the captured images using an image processing device. A first position of the object in the surrounding region relative to the motor vehicle is estimated on the basis of a first captured image, a movement sequence of the object in image coordinates is determined on the basis of the first image and a second captured image, a first movement sequence that characterizes a first, stationary object in the image coordinates is determined proceeding from the first estimated position in the surrounding region, and the captured object is identified as a stationary object on the basis of a comparison of the movement sequence of the captured object to the first characterizing movement sequence.

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Bietigheim-Bissingen, Germany

Nikolai Sergeev