Harman Becker Automotive Systems

A method including obtaining sensor data from one or more sensors of a sensor suite associated with a vehicle, the display of a visual overlay associated with an environment corresponding to a location of the vehicle, the determination of one or more potential hazards present within the environment, and highlighting the one or more potential hazards in the displayed visual overlay of the environment.

In at least one embodiment, an audio system is provided. The audio system includes one or more microphones and at least one controller. The one or more microphones are positioned within a listening space to provide a captured audio input signal. The at least one controller is programmed to receive the captured audio input signal and to receive a first signal indicative of an audio level in the listening space. The at least one controller determines a gain amount based on the audio level and to adjusts the captured audio input signal.

Systems and methods are herein provided for generation of video data based on previously recorded video data. In one example, a method for generating in-vehicle sensor data comprises obtaining recorded data from one or more in-vehicle sensors positioned in a first vehicle, wherein the recorded data is annotated to indicate one or more landmarks of a subject; determining a current sensor position of the one or more in-vehicle sensors when the recorded data was obtained; obtaining a three-dimensional (3D) model of a second vehicle; determining a target sensor position for newly generated sensor data; generating, based on the recorded data, the current sensor position, the 3D model, and the target sensor position, new sensor data; and outputting the new sensor data to a display device.

In various embodiments, a method includes receiving an audio signal from a microphone system associated with a vehicle, receiving a video signal from a camera system associated with the vehicle, identify a facial classification model for classifying one or more facial makers in the video signal, determining that an occupant of the vehicle is speaking using the facial classification model, and generating an isolated audio signal corresponding to a speech signal in the audio signal using the facial classification model.

A method is disclosed for a controller of a vehicle, for continuously acquiring images from a forward-facing camera (117, 118) of portions of a front environment of the vehicle that are obstructed by the hood of the vehicle, and continuously projecting the generated images onto screens (204a-204d) integrated within a windshield of the vehicle. The forward-facing camera (117, 118) may be positioned behind the windshield and above a line of sight of the operator, granting the camera increased visibility over the front environment of the vehicle. Each image of a video feed of the camera is processed to perform three-dimensional (3D) scene reconstruction, using depth estimation combined with mesh generation. At each of the screens (204a, 204d), a view of an image acquired by the camera is generated in a respective driver's eye point of view with appropriate model view and projection matrices.

Embodiments are disclosed for an example telematics system for a vehicle. The telematics system includes a reconfigurable antenna including an antenna portion, a coupling portion, a radiation switch, and a frequency switch. The telematics system further includes a plurality of antennas, and a processor with instructions stored in non-volatile memory to link one antenna of the plurality of antennas to the satellite based on a predicted overlap between a stored radiation pattern of the one antenna and a calculated azimuth and elevation angle of the satellite.

Techniques for techniques for audio processing using auditory analysis are described. In some embodiments, the techniques include generating auditory bands based on an audio input, performing frequency domain processing on the auditory bands to generate processed auditory bands, and producing an audio output by reconstructing the processed auditory bands, where the where the auditory bands and the processed audio bands include exponentially spaced center frequencies.

A method including the display of an external environment of a vehicle, the detection of one or more hazards within a distance-related threshold from the vehicle, and the display of a hazard visualization corresponding to a location of the one or more hazards.

In various embodiments, a computer-implemented method comprises determining, by a voice recognition system included in a vehicle, a mask type of a mask worn by an occupant of the vehicle, acquiring a compensation curve corresponding to the mask type, acquiring an audio signal of the occupant speaking, and applying the compensation curve to the audio signal to generate a compensated audio signal.

A method and system for analyzing over-the-air (OTA) client logs from vehicles includes receiving OTA client log files comprising error logs generated during OTA software updates, preprocessing the log files to generate cleaned log files by removing duplicated log lines and standardizing formats, segmenting the cleaned log files into log chunks, and analyzing the chunks using both rule-based and artificial intelligence (AI) approaches. The AI analysis includes generating vector embeddings for error-related log lines, comparing embeddings with an insignificant error database to filter out insignificant errors, retrieving error context information from a vector database, and generating error summaries using a large language model. The system displays analysis results via a failure analysis engineer (FAE) review interface and updates databases based on FAE feedback. This hybrid approach enables efficient processing of OTA client logs while maintaining accuracy through rule-based filtering and contextual AI analysis.