Abstract: A system for assessing progress of a data recording campaign performed to collect sensor data recorded by a sensor data recorder mounted on a vehicle, the system including a metadata generating apparatus arranged to process data acquired by a sensor module to generate metadata for the sensor data, the metadata comprising classifications of an attribute of a driving environment the vehicle was in during the acquisition of the sensor data into respective classes of a predefined set of classes of the attribute, and transmit the metadata to a remote metadata processing apparatus, which is arranged to determine whether the metadata comprises at least a predetermined number of classifications in a predefined class of the set of predefined classes and, based on the determination, generate an indicator for use in the data recording campaign.

Abstract: The system for in-vehicle video conferencing includes: an acquisition module for acquiring data of facial characteristic points of a user in the vehicle during a video conference call in which said user participates; a video synthesizer for producing an artificial video of the face of the user in the vehicle from the acquired data of facial characteristic points; and a communication device for transmitting the artificial video of the face of the user through a communication network in the video conference call.

Abstract: A device for verifying the connection of components by a gripper, wherein connecting two or more components produces a connection sound. The device comprises a plurality of audio sensors, a fastener for securing the plurality of audio sensors at different positions on the gripper, and a controller. The controller comprises an input for receiving the audio signals from the plurality of audio sensors, a neural network for isolating the connection sound from the audio signals received from the plurality of audio sensors using independent component analysis based on training audio data obtained from audio signals received during a plurality of training connections made in a controlled environment; and an output for indicating a desired connection status based on the isolated connection sound.

Abstract: Disclosed is a computer-implemented method of training a neural network to select objects in a vicinity of a target vehicle, including: aggregating sensor data related to the plurality of vehicles; filtering the sensor data according to one or more conditions, said conditions identifying an action of an ADAS/AD system of at least one of the plurality of vehicles; identifying one or more objects in the vicinity of target vehicle based on the filtered sensor data; and using the identified one or more objects to train the neural network to determine potential objects that cause a triggering of an ADAS/AD system of another vehicle.

Abstract: The method includes splitting a radio signal received at an in-vehicle antenna into two RF streams, and at the device under test, converting the first RF stream into a demodulated audio signal and transmitting it to the tester and recorder device. The tester and recorder device also receives the demodulated audio signal, determines a spectrum of frequencies over time, inputs the spectrum of frequencies into an artificial intelligence (AI) module of audio abnormality detection. The device also receives the second RF stream, converts it into a data signal, and records the data signal into a temporary storage memory. Then, when the AI module outputs of a positive detection of audio abnormality, the device transfers data from the temporary storage memory into a permanent storage memory, where the transferred data corresponds to a time window including the detected audio abnormality.

Abstract: Disclosed are computer implemented methods for detecting a moving object in the passenger compartment of a vehicle. In an aspect, the method includes illuminating the inside of the passenger compartment of the vehicle using an infrared light source, obtaining a stream of a plurality of consecutive images from the inside of the illuminated passenger compartment of the vehicle using an infrared camera, identifying moving objects in the stream based on an object detection algorithm using a processor, and improving the image quality of the moving objects in the stream based on a machine-learning algorithm using the processor.

Abstract: The system for in-vehicle video conferencing (200) includes: an acquisition module (201) for acquiring data of facial characteristic points of a user (A) in the vehicle (100) during a video conference call in which said user (A) participates; a video synthesizer (202A) for producing an artificial video of the face of the user in the vehicle (100) from the acquired data of facial characteristic points, a communication device (203) for transmitting the artificial video of the face of the user through a communication network (300) in the video conference call.

Abstract: A device for verifying wiring connections during the assembly of a wire harness. The wire harness comprises a connector having an array of terminals and a plurality wires connected to individual ones of the terminals. The device comprises a transmitter for applying different signals to different terminals for emitting a corresponding electromagnetic signal from a wire connected to that terminal. Each electromagnetic signal has an associated identifying characteristic. A detector is used to receive the electromagnetic signals emitted from the wires connected to terminals, and a processor generates an output which is used to identify the received electromagnetic signals based on their detected identifying characteristics. A method of assembling a wire harness using the device is also disclosed.

Abstract: The method includes splitting a radio signal received at an in-vehicle antenna into two RF streams, and at the device under test, converting the first RF stream into a demodulated audio signal and transmitting it to the tester and recorder device. The tester and recorder device also receives the demodulated audio signal, determines a spectrum of frequencies over time, inputs the spectrum of frequencies into an artificial intelligence (AI) module of audio abnormality detection. The device also receives the second RF stream, converts it into a data signal, and records the data signal into a temporary storage memory. Then, when the AI module outputs of a positive detection of audio abnormality, the device transfers data from the temporary storage memory into a permanent storage memory, where the transferred data corresponds to a time window including the detected audio abnormality.

Abstract: A wiring assembly board for assembling a wire harness. The wire harness comprises a plurality of wires connected between a plurality of wiring connectors, each connector comprising an array of wire terminals. The wiring assembly board comprises an assembly surface and a plurality of test connectors provided on the assembly surface. Each test connector is for connection to a respective wiring connector and comprises an array of test terminals for establishing an electrical connection with the respective array of wire terminals once the wiring and test connectors have been connected. A microcomputer is associated with each test connector and comprises an interface for individually transmitting or receiving test signals though each test terminal of the respective test connector.

Abstract: A computer card for testing a software of an in-vehicle computer, the computer card comprising: a computing unit comprising at least a system on a chip (SoC) for the in-vehicle computer, the computing unit being adapted to run the software to be tested, and a field-programmable gate array (FPGA) connected to the computing unit for feeding the software to be tested with environment and/or driving data (EDD) and for recovering detection and/or behavior data (DBD) from the software to be tested.

Abstract: A system for assessing progress of a data recording campaign performed to collect sensor data recorded by a sensor data recorder mounted on a vehicle, the system including a metadata generating apparatus arranged to process data acquired by a sensor module to generate metadata for the sensor data, the metadata comprising classifications of an attribute of a driving environment the vehicle was in during the acquisition of the sensor data into respective classes of a predefined set of classes of the attribute, and transmit the metadata to a remote metadata processing apparatus, which is arranged to determine whether the metadata comprises at least a predetermined number of classifications in a predefined class of the set of predefined classes and, based on the determination, generate an indicator for use in the data recording campaign.

Abstract: A device for verifying the connection of components by a gripper, wherein connecting two or more components produces a connection sound. The device comprises a plurality of audio sensors, a fastener for securing the plurality of audio sensors at different positions on the gripper, and a controller. The controller comprises an input for receiving the audio signals from the plurality of audio sensors, a neural network for isolating the connection sound from the audio signals received from the plurality of audio sensors using independent component analysis based on training audio data obtained from audio signals received during a plurality of training connections made in a controlled environment; and an output for indicating a desired connection status based on the isolated connection sound.

Abstract: A device for verifying wiring connections during the assembly of a wire harness. The wire harness comprises a connector having an array of terminals and a plurality wires connected to individual ones of the terminals. The device comprises a transmitter for applying different signals to different terminals for emitting a corresponding electromagnetic signal from a wire connected to that terminal. Each electromagnetic signal has an associated identifying characteristic. A detector is used to receive the electromagnetic signals emitted from the wires connected to terminals, and a processor generates an output which is used to identify the received electromagnetic signals based on their detected identifying characteristics. A method of assembling a wire harness using the device is also disclosed.

Abstract: A wiring assembly board for assembling a wire harness. The wire harness comprises a plurality of wires connected between a plurality of wiring connectors, each connector comprising an array of wire terminals. The wiring assembly board comprises an assembly surface and a plurality of test connectors provided on the assembly surface. Each test connector is for connection to a respective wiring connector and comprises an array of test terminals for establishing an electrical connection with the respective array of wire terminals once the wiring and test connectors have been connected. A microcomputer is associated with each test connector and comprises an interface for individually transmitting or receiving test signals though each test terminal of the respective test connector.