Abstract: A method for calibrating the position and orientation of a camera, in particular a vehicle-mounted camera, relative to a calibration pattern includes the steps of: A] acquiring an image of the calibration pattern by the camera; B] determining a parameter of the image or of the calibration pattern; C] transforming the image based on the parameter; D] identifying characteristic points or possible characteristic points of the calibration pattern within the transformed image; E] deriving the position or orientation of the camera relative to the calibration pattern from the identified characteristic points or possible characteristic points; F] in dependence of a confidence value of the derived position or orientation of the camera or in dependence of the number of iterations of steps B to F so far, repeating steps B to F; and G] outputting the position or orientation of the camera derived in the last iteration of step E.

Abstract: A method for calibrating the position and/or orientation of a camera, in particular a camera mounted to a vehicle such as a truck, relative to a calibration pattern includes the steps of: A] acquiring an image of the calibration pattern by means of the camera; B] determining at least one parameter of the image and/or of the calibration pattern or a sub-pattern of the calibration pattern as it appears in the image; C] transforming the image based on the at least one parameter; D] identifying characteristic points or possible characteristic points of the calibration pattern within the transformed image of the calibration pattern; E] deriving the position and/or orientation of the camera relative to the calibration pattern from the identified characteristic points or possible characteristic points; F] in dependence of a confidence value of the derived position and/or orientation of the camera and/or in dependence of the number of iterations of steps B to F so far, repeating steps B to F, wherein in step B the de

Abstract: An automated driving system (ADS) includes an automation control module for controlling one or more driving functions of a vehicle, and a safety control module for determining one or more operating conditions relevant to the safety performance of the vehicle, such as driver awareness and processor temperature. The automation control module is configured to automatically adjust the speed of the vehicle based on the one or more operating conditions determined by the safety control module.

Abstract: The system comprises at least two sensors of object detection that each comprise a transmitter for producing an original periodic signal, one or two antennas for transmitting the original signal and, after the original signal has reflected off the object, receiving a reflected signal, and a receiver for detecting an information related to the object using the received reflected signal, wherein the transmitting antenna has a radiation pattern including a main lobe and side lobes at various angles, characterized in that the two sensors have respective coverage areas that overlap, and the transmitter of one of the two sensors, that is the transmitter sensor, encodes data to be transmitted to the other one of the two sensors, that is the receiver sensor, by modulating the original signal radiated by the transmitting antenna of the transmitter sensor.

Abstract: Calibrating the orientation of a camera mounted to a vehicle includes providing calibration pattern defining at least two horizontal lines and two vertical lines; acquiring an image of the calibration pattern by means of the camera, the image having a first axis and a second axis corresponding to a horizontal axis and a vertical axis, respectively; identifying the horizontal lines and the vertical lines within the image; determining a horizontal vanishing point from the representations of the horizontal lines; determining a vertical vanishing point from the representations of the vertical lines; calculating a roll angle from the location of the horizontal vanishing point based on the image, calculating a yaw angle from a first coordinate of the horizontal vanishing point measured along the first axis, and calculating a pitch angle from a second coordinate of the vertical vanishing point measured along the second axis.

Abstract: A computer implemented method for object detection includes the following steps carried out by computer hardware components: acquiring an image; determining a pixel of the image as a base pixel; determining coordinates of a plurality of sets of target pixels, each set of target pixels including a plurality of pixels in a respective pre-determined relationship to the base pixel; for each of the sets of target pixels, determining information representing values of the pixels in the respective set of target pixels; and determining whether a pre-determined object is shown in the image based on the determined information.

Abstract: The present invention relates to a method to improve the precision of a position information of a roadside unit (RSU), the RSU at least comprising a data communication unit, a memory unit and a processor unit, wherein a saved RSU position is saved in the memory unit as position information of the RSU. Further, the present invention relates to a roadside unit (RSU), at least comprising a data communication unit, a memory unit and a processor unit. In addition, the present invention relates to a system to provide position information in an area, preferably in respect of an advanced driver assistant system (ADAS) and/or autonomous driving.

Abstract: This document describes an improved method for identifying of characteristic points of a calibration pattern within a set of candidate points in an image of the calibration pattern. The method includes scaling a template arrangement of template points that corresponds to the calibration pattern to an initial size. The method uses the scaled template arrangement to determine potential characteristic points. The method then determines whether the potential characteristic points meet a termination criterion. If the termination criterion is not met, the scaling of the template arrangement is modified and the previous step and this step are repeated. If the termination criterion is met, the potential characteristic points are identified as the characteristic points. In this way, the described method provides a robust means to automatically identify the characteristic points in the image of the calibration pattern without having to determine the distance between a camera and the calibration pattern.

Abstract: A method for identification of characteristic points of a calibration pattern within an image includes: (i) overlaying a template arrangement of template points over the candidate point such that a principal point of the template points coincides with the candidate point, wherein the template arrangement corresponds to the calibration pattern or to a sub-pattern of the calibration pattern, (ii) for each template point of the template arrangement, except the principal point, identifying from the set of candidate points the candidate point closest to the template point, and (iii) determining a degree of deviation by summing the distances between each template point of the template arrangement, except the principal point, and the candidate point closest to this template point; and identifying as characteristic points of the calibration pattern all those candidate points of the set of candidate points with a degree of deviation below a deviation threshold.

Abstract: A method for identification of candidate points as possible characteristic points of a calibration pattern within an image of the calibration pattern includes the steps of determining spots within a filtered image de-rived from the image of the calibration pattern, with a spot being defined as a coherent set of pixels of the filtered image having pixel values exceeding a threshold; for each determined spot, calculating a central point of the determined spot; and identifying as candidate points all calculated central points.

Abstract: A heating device includes a housing, a primary induction coil, a controller circuit, and a secondary induction coil. The housing retains a camera lens. The primary induction coil is positioned proximate the housing and generates a magnetic field in response to receiving electrical power from a power supply. The controller circuit is in electrical contact with the primary induction coil and controls the electrical power delivered to the primary induction coil. The secondary induction coil overlays the primary induction coil and receives the magnetic field from the primary induction coil and generates heat. The secondary induction coil is in direct contact with a windshield of a vehicle and heats the viewing window when the primary induction coil receives the electrical power.

Abstract: A heating device includes a housing, a primary induction coil, a controller circuit, and a secondary induction coil. The housing is configured to retain a camera lens. The primary induction coil is positioned proximate the housing and configured to generate a magnetic field in response to receiving electrical power from a power supply. The controller circuit is in electrical contact with the primary induction coil and is configured to control the electrical power delivered to the primary induction coil. The secondary induction coil overlays the primary induction coil and is configured to receive the magnetic field from the primary induction coil and generate heat. The secondary induction coil heats the camera lens when the primary induction coil receives the electrical power.

Abstract: A method of characterizing the environment with respect to a host vehicle, said vehicle including one or more systems adapted to detect single objects in the vehicle vicinity; comprising: i) determining the spatial location of a plurality of single objects in the vicinity of said vehicle; ii) grouping a plurality of said single objects based on one or more attributes of each single object into at least one group; iii) subsequently processing said group of objects as a single group object.

Abstract: The present invention relates to a method to improve the precision of a position information of a roadside unit (RSU), the RSU at least comprising a data communication unit, a memory unit and a processor unit, wherein a saved RSU position is saved in the memory unit as position information of the RSU. Further, the present invention relates to a roadside unit (RSU), at least comprising a data communication unit, a memory unit and a processor unit. In addition, the present invention relates to a system to provide position information in an area, preferably in respect of an advanced driver assistant system (ADAS) and/or autonomous driving.

Abstract: A method of generating a polyline representing a contour of one or more objects includes the steps a) formulating a series of spatially ordered points in 2-dimensional space, each representing a (point) detection with respect to object(s); b) connecting the end points of the series of ordered points with a first straight line segment, and determining the shortest distance between each of the intermediate points and the first segment; c) determining from step b) a threshold based on a measure of the dispersion of the intermediate points around the segment; d) for each side of the segment determining, for any points that lie on that respective side, the point which is further from the segment; e) determining any of the points found in step d) which are further from the segment than the threshold; f) formulating a polyline by connecting the end points of the points determined from step e).

Abstract: A method for calibrating the position and/or orientation of a camera, in particular a camera mounted to a vehicle such as a truck, relative to a calibration pattern includes the steps of: A] acquiring an image of the calibration pattern by means of the camera; B] determining at least one parameter of the image and/or of the calibration pattern or a sub-pattern of the calibration pattern as it appears in the image; C] transforming the image based on the at least one parameter; D] identifying characteristic points or possible characteristic points of the calibration pattern within the transformed image of the calibration pattern; E] deriving the position and/or orientation of the camera relative to the calibration pattern from the identified characteristic points or possible characteristic points; F] in dependence of a confidence value of the derived position and/or orientation of the camera and/or in dependence of the number of iterations of steps B to F so far, repeating steps B to F, wherein in step B the de

Abstract: A method for identification of characteristic points of a calibration pattern within a set of candidate points derived from an image of the calibration pattern includes the steps of: A. scaling a template arrangement of template points which corresponds to the calibration pattern or to a sub-pattern of the calibration pattern to an initial size; B.

Abstract: Calibrating the orientation of a camera mounted to a vehicle includes providing calibration pattern defining at least two horizontal lines and two vertical lines; acquiring an image of the calibration pattern by means of the camera, the image having a first axis and a second axis corresponding to a horizontal axis and a vertical axis, respectively; identifying the horizontal lines and the vertical lines within the image; determining a horizontal vanishing point from the representations of the horizontal lines; determining a vertical vanishing point from the representations of the vertical lines; calculating a roll angle from the location of the horizontal vanishing point based on the image, calculating a yaw angle from a first coordinate of the horizontal vanishing point measured along the first axis, and calculating a pitch angle from a second coordinate of the vertical vanishing point measured along the second axis.

Abstract: A method for identification of characteristic points of a calibration pattern within an image includes: (i) overlaying a template arrangement of template points over the candidate point such that a principal point of the template points coincides with the candidate point, wherein the template arrangement corresponds to the calibration pattern or to a sub-pattern of the calibration pattern, (ii) for each template point of the template arrangement, except the principal point, identifying from the set of candidate points the candidate point closest to the template point, and (iii) determining a degree of deviation by summing the distances between each template point of the template arrangement, except the principal point, and the candidate point closest to this template point; and identifying as characteristic points of the calibration pattern all those candidate points of the set of candidate points with a degree of deviation below a deviation threshold.

Abstract: A method for identification of candidate points as possible characteristic points of a calibration pattern within an image of the calibration pat-tern includes the steps of determining spots within a filtered image de-rived from the image of the calibration pattern, with a spot being defined as a coherent set of pixels of the filtered image having pixel values exceeding a threshold; for each determined spot, calculating a central point of the determined spot; and identifying as candidate points all calculated central points.