Abstract: A vehicle includes a steering wheel and a controller. The controller is configured to, in response to receiving location and speed data from other vehicles indicating an expected collision absent a trajectory change, automatically control the steering wheel to direct the vehicle along a collision avoidance path. The collision avoidance path is based on map data identifying a marking type for a traveling lane such that the path crosses the lane when the marking type is broken and does not cross the lane when the marking type is solid.

Abstract: Various embodiments of the present disclosure provide a vehicle notification system. The vehicle notification system includes at least one transparent display device, at least one mirror display device, and an eye tracker, and is configured to determine which display device the vehicle's driver is looking at and display notifications on that display device.

Abstract: A vehicle system includes a driver identification fusion module programmed to receive a confidence level from a plurality of identification modules. Each confidence level indicates the likelihood that a driver of a vehicle is a particular person. The driver identification fusion module is programmed to aggregate the confidences levels received from the plurality of identification modules and output an aggregated confidence level signal representing an identity of the driver based at least in part on the confidence levels received from the plurality of identification modules.

Abstract: A vehicle includes a steering wheel and a controller. The controller is configured to, in response to receiving location and speed data from other vehicles indicating an expected collision absent a trajectory change, automatically control the steering wheel to direct the vehicle along a collision avoidance path. The collision avoidance path is based on map data identifying a marking type for a traveling lane such that the path crosses the lane when the marking type is broken and does not cross the lane when the marking type is solid.

Abstract: A vehicle is described that includes a video camera configured to record video, a processor configured to process the recorded video from the video camera into hyperlapse video, and an input/output device to link the hyperlapse video with a social network associated with at least one of a driver of the vehicle and the vehicle. The processor may be configured to receive video data from the video camera and to create the hyperlapse video by reconstructing a video stream from the video data, planning a smooth path through the video stream, and rendering the video data along the smooth path into the hyperlapse video that has a faster speed and less jitter than the video stream. The hyperlapse video may be a non-native, sped-up video of the recorded video from the video camera.

Abstract: A crowdsourcing server receives sensor data from vehicles within a vicinity of a location of an event at a time of the event in response to the vehicles being notified of an occurrence of the event. The sensor data includes sensor data of the vehicles sensed at the time of the event. The crowdsourcing server associates the sensor data with the event. The event can be reconstructed using the sensor data associated with the event.

Abstract: A vehicle system includes a microphone programmed to capture sounds in a passenger compartment of a vehicle and output a sound signal. A speech analyzer analyzes the sound signal for distressed speech and for action words. The speech analyzer outputs an alert signal if distressed speech and action words are detected. A processing device receives the alert signal and initiates contact with an emergency service provider in response to the alert signal.

Abstract: A vehicle system includes a microphone programmed to capture sounds in a passenger compartment of a vehicle and output a sound signal. A speech analyzer analyzes the sound signal for distressed speech and for action words. The speech analyzer outputs an alert signal if distressed speech and action words are detected. A processing device receives the alert signal and initiates contact with an emergency service provider in response to the alert signal.

Abstract: A vehicle system includes a driver identification fusion module programmed to receive a confidence level from a plurality of identification modules. Each confidence level indicates the likelihood that a driver of a vehicle is a particular person. The driver identification fusion module is programmed to aggregate the confidences levels received from the plurality of identification modules and output an aggregated confidence level signal representing an identity of the driver based at least in part on the confidence levels received from the plurality of identification modules.