Provided are an image synchronization method and apparatus, a device and a computer storage medium. The method includes that: a plurality of groups of candidate images collected by a plurality of image collection apparatuses for a target object and time parameters corresponding to each of the candidate images are acquired; a candidate image is selected from the each group of candidate images to serve as an image to be analyzed, and a group of images to be analyzed is constructed on the basis of a plurality of images to be analyzed; and the group of images to be analyzed is determined as a synchronization image group corresponding to the target object in response to the time parameters of the images to be analyzed all satisfying a preset synchronization condition.

A video data processing apparatus provided according to one embodiment of the present invention includes a processor and a blending circuit. The processor provides a first set of parameters according to a first channel identification signal and a second set of parameters according to a second channel identification signal. The blending circuit blends a first image into first video data at a first timing according to the first set of parameters and a second image into second video data at a second timing according to the second set of parameters. A time difference between the first timing and the second timing is less than a frame period of the first video data.

The present technology relates to a signal processing device and method, and a program that enable easier and more accurate failure detection. The signal processing device includes: an addition unit that adds test data for failure detection to valid data on which predetermined processing is to be performed, two or more samples processed in parallel in different paths having a same sample value in the test data; and a signal processing unit that performs the predetermined processing on the valid data and the test data that has been added to the valid data by a plurality of the paths. The present technology can be applied to in-car cameras.

The present technology relates to a signal processing device and method, and a program that enable easier and more accurate failure detection. The signal processing device includes: an addition unit that adds test data for failure detection to valid data on which predetermined processing is to be performed, two or more samples processed in parallel in different paths having a same sample value in the test data; and a signal processing unit that performs the predetermined processing on the valid data and the test data that has been added to the valid data by a plurality of the paths. The present technology can be applied to in-car cameras.

The present invention relates to a lighting system 200 of an automotive vehicle comprising: —an image capture device (205) configured to acquire an image (I) of a road (R) of travel of the vehicle, said road (R) comprising lanes marked on the road (110); —a lighting module (215) configured to project road markings on the road (120); wherein said lighting system (200) is configured to filter the projected road markings (120) on the road compared to the lanes marked (110) on the road.

The present invention relates to a lighting system 200 of an automotive vehicle comprising: —an image capture device (205) configured to acquire an image (I) of a road (R) of travel of the vehicle, said road (R) comprising lanes marked on the road (110); —a lighting module (215) configured to project road markings on the road (120); wherein said lighting system (200) is configured to filter the projected road markings (120) on the road compared to the lanes marked (110) on the road.

A system includes an electronic module and an integrated circuit outside the electronic module. The integrated circuit is configured to generate a digital timing signal that emulates a first synchronization signal internal to the module and not available outside the module and to generate trigger signals based on the digital timing signal. A controller is configured to independently and autonomously perform control operations of the electronic module at times triggered by the trigger signals.

A system includes an electronic module and an integrated circuit outside the electronic module. The integrated circuit is configured to generate a digital timing signal that emulates a first synchronization signal internal to the module and not available outside the module and to generate trigger signals based on the digital timing signal. A controller is configured to independently and autonomously perform control operations of the electronic module at times triggered by the trigger signals.

The disclosed computer-implemented method may include receiving a signal for each channel of an audio transducer array on a wearable device. The method may also include calculating a beamformed signal for each beam direction of a set of beamforming filters for the wearable device. Additionally, the method may include classifying a first beamformed signal from the calculated beamformed signals into a first class of sound and a second beamformed signal from the calculated beamformed signals into a second class of sound. The method may also include adjusting, based on the classifying, a gain of the first beamformed signal relative to the second beamformed signal. Furthermore, the method may include converting the beamformed signals into spatialized binaural audio based on a position of a user. Finally, the method may include transmitting the spatialized binaural audio to a playback device. Various other methods, systems, and computer-readable media are also disclosed.

The disclosed computer-implemented method may include receiving a signal for each channel of an audio transducer array on a wearable device. The method may also include calculating a beamformed signal for each beam direction of a set of beamforming filters for the wearable device. Additionally, the method may include classifying a first beamformed signal from the calculated beamformed signals into a first class of sound and a second beamformed signal from the calculated beamformed signals into a second class of sound. The method may also include adjusting, based on the classifying, a gain of the first beamformed signal relative to the second beamformed signal. Furthermore, the method may include converting the beamformed signals into spatialized binaural audio based on a position of a user. Finally, the method may include transmitting the spatialized binaural audio to a playback device. Various other methods, systems, and computer-readable media are also disclosed.