Abstract: A method comprising determining a spatial audio signal; determining an apparatus motion parameter; and stabilizing the spatial audio signal dependent on the apparatus motion parameters.

Abstract: In an example embodiment, method, apparatus and computer program product for improving image and video captures using depth maps of viewfinder depth map, are provided. The method includes facilitating receipt of a viewfinder depth map of a scene, the viewfinder depth map comprising depth information of a plurality of objects in the scene. One or more objects are selected from the plurality of objects based on depth information of the one or more objects in the viewfinder depth map. Two or more images of the scene are facilitated to be captured by at least adjusting focus of a camera corresponding to the depth information of the one or more objects that are selected. In an example, a method also includes facilitating capture of an image of the scene by at least adjusting focus of a camera corresponding to the depth information of the two or more objects that are selected.

Abstract: A method and system for driver monitoring by fusing contextual data with event data to determine context as cause of event is provided. The method includes detecting an event from event data received from one or more inertial sensors associated with a vehicle of a driver or with the driver. The method also includes determining a context from an audio or video feed received from one or more devices associated with the vehicle or the driver. Further, the method includes fusing the event with the context to determine the context as a cause of the event. In addition, the method includes assigning a score to a driver performance metric based at least on the context and the event.

Abstract: A method includes determining, using signals captured from two or more microphones (1A) configured to detect an acoustic signal from one or more sound sources, one or more prominent sound sources based on the one or more sound sources (1C-1D). The method further includes determining one or more directions relative to a position of one or more of the two or more microphones for the one or more prominent sound sources (1B-1D). The method includes modifying one or more user interface elements displayed on a user interface of a display to provide an indication at least in part of the one or more directions, relative to position of at least one microphone, of the one or more prominent sound sources (1G).

Abstract: A method comprising: determining a spatial audio signal; determining an apparatus motion parameter; and stabilizing the spatial audio signal dependent on the apparatus motion parameters.

Abstract: A method for estimating distance of an object from a moving vehicle is provided. The method includes detecting, by a camera module in one or more image frames, an object on a road on which the vehicle is moving. The method includes electronically determining a pair of lane markings associated with the road. The method further includes electronically determining a lane width between the pair of the lane markings in an image coordinate of the one or more image frames. The lane width is determined at a location of the object on the road. The method includes electronically determininga real world distance of the object from the vehicle based at least on number of pixels corresponding to the lane width in the image coordinate, a pre-defined lane width associated with the road and at least one camera parameter of the camera module.

Abstract: A method and apparatus for localizing a smartphone is disclosed. A plurality of lateral position samples of the smartphone based at least in part on a plurality of location coordinates, lane marking information and accuracy factors of the plurality of location coordinates are collected at a plurality of time instances. Lateral position of the smartphone in the moving vehicle based at least on the plurality of lateral position samples collected at the plurality of time instances is determined. One or more correlations between a vertical acceleration pattern associated with at least one front wheel and a vertical acceleration pattern associated with at least one rear wheel of the moving vehicle passing over one or more road discontinuities as computed from an accelerometer sensor present in the smartphone are determined. Longitudinal position of the smartphone in the moving vehicle based at least on the one or more correlations is determined.

Abstract: A method and system for driver monitoring by fusing contextual data with event data to determine context as cause of event is provided. The method includes detecting an event from event data received from one or more inertial sensors associated with a vehicle of a driver or with the driver. The method also includes determining a context from an audio or video feed received from one or more devices associated with the vehicle or the driver. Further, the method includes fusing the event with the context to determine the context as a cause of the event. In addition, the method includes assigning a score to a driver performance metric based at least on the context and the event.

Abstract: In an example embodiment, method, apparatus and computer program product for improving image and video captures using depth maps of viewfinder depth map, are provided. The method includes facilitating receipt of a viewfinder depth map of a scene, the viewfinder depth map comprising depth information of a plurality of objects in the scene. One or more objects are selected from the plurality of objects based on depth information of the one or more objects in the viewfinder depth map. Two or more images of the scene are facilitated to be captured by at least adjusting focus of a camera corresponding to the depth information of the one or more objects that are selected. In an example, a method also includes facilitating capture of an image of the scene by at least adjusting focus of a camera corresponding to the depth information of the two or more objects that are selected.

Abstract: A method and apparatus for localizing a smartphone is disclosed. A plurality of lateral position samples of the smartphone based at least in part on a plurality of location coordinates, lane marking information and accuracy factors of the plurality of location coordinates are collected at a plurality of time instances. Lateral position of the smartphone in the moving vehicle based at least on the plurality of lateral position samples collected at the plurality of time instances is determined. One or more correlations between a vertical acceleration pattern associated with at least one front wheel and a vertical acceleration pattern associated with at least one rear wheel of the moving vehicle passing over one or more road discontinuities as computed from an accelerometer sensor present in the smartphone are determined. Longitudinal position of the smartphone in the moving vehicle based at least on the one or more correlations is determined.

Abstract: Advanced driver assistance systems (ADAS) and methods for object detection such as traffic lights, speed signs, in an automotive environment, are disclosed. In an embodiment, ADAS includes camera system for capturing image frames of at least a part of surroundings of vehicle, memory comprising image processing instructions and processing system for detecting one or more objects in a coarse detection followed by a fine detection. Coarse detection includes detecting presence of the one or more objects in non-consecutive image frames of the image frames, where non-consecutive image frames are determined by skipping one or more frames of the image frames. Upon detection of presence of the one or more objects in coarse detection, fine detection of the one or more objects is performed in a predetermined number of neighboring image frames of a frame in which the presence of the objects is detected in coarse detection.

Abstract: An apparatus comprising: a depth map estimator configured to determine, associated with at least one visual image, a depth map comprising at least one distance value in a direction relative to an apparatus; a direction of arrival estimator configured to determine, using at least two microphones, at least one audio source signal with a direction; and an audio signal processor configured to process the at least one audio source signal based on the at least one distance value in the direction of the at least one audio source signal.

Abstract: A method for an audio driver user interface comprising: capturing at least two audio signals (1 1, 14, 101); determining a trajectory of an audio source from the at least two audio signals (103); and generating a user interface input dependent on the trajectory of the audio source (105).

Abstract: A method, apparatus and computer program for: receiving a spatial audio input; determining a direction of interest from the spatial audio input; and generating a spatial audio output dependent on the spatial audio input and the direction of interest.

Abstract: There is provided a method for audio signal adjustment comprising: determining a loudness estimate for at least one frame of an audio signal; determining a level value for the at least one frame based on the loudness estimate; and adjusting the audio signal based on the level value. An apparatus for carrying out the method is also provided.

Abstract: In an example embodiment, a method, apparatus and computer program product are provided. The method includes facilitating receipt of a plenoptic image associated with a scene, the plenoptic image including plenoptic micro-images and being captured by a focused plenoptic camera. The method includes generating plenoptic vectors for the plenoptic micro-images of the plenoptic image, where an individual plenoptic vector is generated for an individual plenoptic micro-image. The method includes assigning disparities for the plenoptic micro-images of the plenoptic image.

Abstract: A method, apparatus and computer program product are therefore provided according to an example embodiment of the present invention in order to perform categorical analysis and synthesis of a multichannel signal to synthesize binaural signals and extract, separate, and manipulate components within the audio scene of the multichannel signal that were captured through multichannel audio means. In the context of a method, a multichannel signal is received. The method may include computing the spectrum for the multichannel signal, determining tonality of bands within the spectrum, and generating a band structure for the spectrum. The method may also include performing spatial analysis of the bands, performing source filtering using the bands, performing synthesis on the filtered band components, and generating an output signal. A corresponding apparatus and a computer program product are also provided.

Abstract: In an example embodiment, a method, apparatus and computer program product are provided. The method includes facilitating capture of at least one image of a scene including a foreground object by at least one rolling shutter sensor. The at least one image includes a pattern in an image region of the foreground object comprising a series of alternate dark and bright pixel regions. The at least one image is captured by setting exposure time of the sensor as equal or less than a read-out time of a set of pixel rows of a plurality of pixel rows, and by facilitating a repeating sequence of ON and OFF of flash such that flash is ON while capturing the set of pixel rows, and OFF while capturing subsequent set of pixel rows. The method includes determining a contour of the foreground object in the at least one image based on the pattern.

Abstract: In accordance with an example embodiment a method, apparatus and computer program product are provided. The method comprises filtering incident light by an IR cut-off filter to generate filtered light. The IR cut-off filter comprises a plurality of pixels with pass-band characteristics for visible light wavelengths and is configured to perform stop-band attenuation of near infrared (NIR) wavelengths. The stop-band attenuation is configured to vary based on spatial location of pixels within the IR cut-off filter. The filtered light received from the IR cut-off filter is sensed by the image sensor to generate sensed light. A baseband signal and a modulated NIR signal are determined by performing transformation of the sensed light. A NIR spectrum associated with the incident light is determined by demodulating the modulated NIR signal. A visible spectrum associated with the incident light is determined based on the NIR spectrum and the baseband signal.

Abstract: A method comprising: generating at least one audio signal to be output by at least one speaker for a multi-speaker system; receiving at least two output signals, the at least two output signals provided by at least two microphones and based on the at least one acoustic wave output by the at least one speaker in response to the at least one audio signal; determining a directional component associated with the at least two output signals; and comparing the directional component with an expected location of the at least one speaker.