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: 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: 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 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 processing an image of a scene including a road acquired by a vehicle-mounted camera to generate boundary data indicative of a boundary of an image region which represents an unoccupied area of the road, comprising: generating an LL sub-band image of an Nth level of an (N+1)-level discrete wavelet transform, DWT, decomposition of the image by iteratively low-pass filtering and down-sampling the image N times, where N is an integer equal to or greater than one; generating a sub-band image of an (N+1)th level by high-pass filtering the LL sub-band image of the Nth level, and down-sampling a result of the high-pass filtering, such that the sub-band image of the (N+1)th level has a pixel region having substantially equal pixel values representing the unoccupied area of the road in the image; and generating the boundary data by determining a boundary of the pixel region.

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 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 computer implemented method for calibrating a camera comprises the following steps carried out by computer hardware components: activating a subset of a plurality of light sources according to a plurality of activation schemes, wherein each activation scheme indicates which of the plurality of light sources to activate; capturing an image for each activation scheme using the camera; and calibrating the camera based on the captured images.

Abstract: A method of processing an image of a scene including a road acquired by a vehicle-mounted camera to generate boundary data indicative of a boundary of an image region which represents an unoccupied area of the road, comprising: generating (S10) an LL sub-band image of an Nth level of an (N+1)-level discrete wavelet transform, DWT, decomposition of the image by iteratively low-pass filtering and down-sampling the image N times, where N is an integer equal to or greater than one; generating (S20) a sub-band image of an (N+1)th level by high-pass filtering the LL sub-band image of the Nth level, and down-sampling a result of the high-pass filtering, such that the sub-band image of the (N+1)th level has a pixel region having substantially equal pixel values representing the unoccupied area of the road in the image; and generating (S30) the boundary data by determining a boundary of the pixel region.

Abstract: A method of processing an image of a road having a road marker acquired by a vehicle-mounted camera to generate boundary data indicating a boundary of the road marker region of the image which represents the road marker, comprising: generating an LL sub-band image of an Mth level of an (M+1)-level discrete wavelet transform, DWT, decomposition of the image by iteratively low-pass filtering and down-sampling the image M times; generating a sub-band image of an (M+1)th level of the (M+1) level DWT decomposition by high-pass filtering the LL sub-band image and down-sampling a result of the high-pass filtering; and determining a boundary of a region of pixels of the sub-band image of the (M+1)th level, the region being surrounded by pixels having pixel values substantially different to the pixel values of the pixels in the region, the determined boundary indicating the boundary of the road marker region.

Abstract: A computer implemented method for calibrating a camera comprises the following steps carried out by computer hardware components: activating a subset of a plurality of light sources according to a plurality of activation schemes, wherein each activation scheme indicates which of the plurality of light sources to activate; capturing an image for each activation scheme using the camera; and calibrating the camera based on the captured images.

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 control module comprises: a first interface to a camera provided in a vehicle; a second interface to a serializer for communication with an electronic control unit of the vehicle; and a processing unit configured to process input data received via the first interface or via the second interface to obtain output data, and to output the output data via the first interface or via the second interface.

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: Described is a system including a camera module connected to an electronic device. The camera module includes a non-volatile memory that includes instructions storing a script for setting up the camera module. The electronic device includes an interpreter that executes at least partially the instructions including the script stored in the non-volatile memory of the camera module to set up the camera 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: A control module comprises: a first interface to a camera provided in a vehicle; a second interface to a serializer for communication with an electronic control unit of the vehicle; and a processing unit configured to process input data received via the first interface or via the second interface to obtain output data, and to output the output data via the first interface or via the second interface.

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.