Abstract: Embodiments are disclosed for identifying potentially erratic vehicles travelling near a vehicle including an in-vehicle computing system. In some embodiments, an in-vehicle computing system for a vehicle includes a processor, a sensor subsystem communicatively coupleable to a camera mounted on the vehicle, and an external device interface communicatively coupleable to an extra-vehicle server. The in-vehicle computing system may also include a storage device storing instructions executable by the processor to monitor neighboring vehicles within a field of view of the camera, identify a potential erratic vehicle, and transmit vehicle information to the extra-vehicle server.

Abstract: In various embodiments, a control application enables mobile control of output devices, such as speakers. In operation, the control application receives visual data from a mobile device and one or more cameras that track motions associated with the mobile device. Based on the location of the mobile device and an angle of interest indicated by the visual data transmitted from the mobile device, the control application selects one or more output devices. The control application then processes the visual data provided by the cameras in order to identify and extract gestures and transmit associated control signals to the selected output devices.

Abstract: Described herein is an automatic audio enhancement system (AAES) that may locate, via aspects of an electronic device, objects and/or people within a target environment, such as inside a vehicle. The AAES also may change one or more audio output signals based at least on information associated with the location of the objects and/or people. In one example of the AAES, the locating of the objects and/or people may occur in association with operation of a mobile device.

Abstract: In various embodiments, a control application enables mobile control of output devices, such as speakers. In operation, the control application receives visual data from a mobile device and one or more cameras that track motions associated with the mobile device. Based on the location of the mobile device and an angle of interest indicated by the visual data transmitted from the mobile device, the control application selects one or more output devices. The control application then processes the visual data provided by the cameras in order to identify and extract gestures and transmit associated control signals to the selected output devices.

Abstract: A vehicle to vehicle data communication system may include a server to communicate audio data being played in a host vehicle to a client vehicle so that both the host vehicle and the client vehicle play substantially the same audio content. The system may establish communications between the client vehicle and the host vehicle, by receiving a connection request from the client vehicle and authenticating the client vehicle and the host vehicle. The server may further receive, from the host, the audio data being played in the host vehicle and transmit the audio data to the client vehicle. The server may process the audio data and transmit the processed audio data to the client vehicle. The server may customize the audio data in accordance with the configuration of the client vehicle to maintain and/or enhance the quality of the playback of the processed audio data in the client vehicle.

Abstract: Embodiments are disclosed for identifying potentially erratic vehicles travelling near a vehicle including an in-vehicle computing system. In some embodiments, an in-vehicle computing system for a vehicle includes a processor, a sensor subsystem communicatively coupleable to a camera mounted on the vehicle, and an external device interface communicatively coupleable to an extra-vehicle server. The in-vehicle computing system may also include a storage device storing instructions executable by the processor to monitor neighboring vehicles within a field of view of the camera, identify a potential erratic vehicle, and transmit vehicle information to the extra-vehicle server.

Abstract: Embodiments are disclosed for methods and systems for adjusting audio/video data. In some embodiments, a method for performing adjustments includes receiving audio content and video content and analyzing the video content to identify image data indicating a channel generating the audio and video content. The method further includes adjusting the audio data of the audio content responsive to a type of content on the channel.

Abstract: Described herein is an automatic audio enhancement system (AAES) that may locate, via aspects of an electronic device, objects and/or people within a target environment, such as inside a vehicle. The AAES also may change one or more audio output signals based at least on information associated with the location of the objects and/or people. In one example of the AAES, the locating of the objects and/or people may occur in association with operation of a mobile device.