Abstract: Systems and method are provided for generating an integrated interface in a vehicle. In one embodiment, a method includes: receiving data associated with an environment of the vehicle; encoding the environment data into a plurality of layers; extracting data from the plurality of layers into a point cloud; projecting the point cloud onto a meta-template defining a basic element and manipulable features of the basic element; and generating display data based on the projecting.

Abstract: An interactive driving system and method that improves a driving experience by allowing a passenger to interactively monitor and evaluate certain driving maneuvers in real-time with an augmented reality interface. The input provided by the passenger via the augmented reality interface is recorded for later processing and analysis. For instance, the passenger input may be used to generate driving reports for later review by the driver and passenger (e.g., when the passenger is teaching a new driver how to drive) or for the manufacturer of autonomous or semi-autonomous vehicles (e.g., when the manufacturer is seeking actionable feedback for improving various self-driving algorithms). In addition, the interactive driving system and method entertain the passenger with the augmented reality interface, which can be delivered in a game-like fashion via a computer program product installed on their own personal electronic device (e.g., a tablet, phone, laptop, etc.).

Abstract: Examples of techniques for vehicle communication between a first vehicle and a second vehicle are disclosed. An example method includes displaying, on an external vehicle display of the first vehicle, vehicle data. The method further includes capturing, by a camera of the second vehicle, an image of the external vehicle display. The method further includes processing, by a processing device associated with the second vehicle, the image to extract the vehicle data about the first vehicle. The method further includes determining, by the processing device, a position of the first vehicle relative to a position of the second vehicle based at least in part on the vehicle data. The method further includes controlling, by the processing device associated with the second vehicle, the second vehicle based at least in part on the position of the first vehicle relative to the position of the second vehicle.

Abstract: Methods and systems are provided for a speech system of a vehicle. In particular, a method is taught for associating a speech utterance with a voice command in response to a failed voice control attempt followed by a successfully voice control attempt.

Abstract: Methods and systems are provided for a speech system of a vehicle. In particular, a method is taught for associating a speech utterance with a voice command in response to a failed voice control attempt followed by a successfully voice control attempt.

Abstract: Systems and method are provided for generating an integrated interface in a vehicle. In one embodiment, a method includes: receiving data associated with an environment of the vehicle; encoding the environment data into a plurality of layers; extracting data from the plurality of layers into a point cloud; projecting the point cloud onto a meta-template defining a basic element and manipulable features of the basic element; and generating display data based on the projecting.

Abstract: Methods and systems are provided for recovering from an error in a speech recognition system. In one embodiment, a method includes: receiving, by a processor, a first command recognized from a first speech utterance by a first language model; receiving, by the processor, a second command recognized from the first speech utterance by a second language model; determining, by the processor, at least one of similarities and dissimilarities between the first command and the second command; processing, by the processor, the first command and the second command with at least one rule of an error model based on the similarities and dissimilarities to determine a root cause; and selectively executing a recovery process based on the root cause.

Abstract: A system managing vehicle operations based on thermal data. The system includes a thermal camera arranged in the vehicle to sense intra-vehicle thermal conditions. The system also includes a hardware-based storage device including a thermal-data analysis module that, when executed by a hardware-based processing unit, determines, based on the intra-vehicle thermal data, an activity or state of one or more vehicle occupants. The storage device may also include: an action module that, when executed, determines an output action based on the activity or state; and an output-interface module that, when executed, initiates performing the output action. The storage device may also include In various embodiments, the hardware-based storage device includes a database module that, when executed, obtains pre-stored occupant data corresponding to an occupant, and determining the output action is based on the pre-stored occupant data and occupant activity or state determined.

Abstract: Methods and systems are provided for managing speech of a speech system. In one embodiment, a method includes: receiving, by a processor, relative information comprising graph data from at least one relative data datasource; processing, by a processor, the graph data of the relative information to determine at least one of an association and a relationship associated with an element defined in the speech system; and storing, by a processor, the at least one of association and relationship as relative slot data for use by at least one of a speech recognition method and a dialog management method.

Abstract: Methods and systems are provided for recovering from an error in a speech recognition system. In one embodiment, a method includes: receiving, by a processor, a first command recognized from a first speech utterance by a first language model; receiving, by the processor, a second command recognized from the first speech utterance by a second language model; determining, by the processor, at least one of similarities and dissimilarities between the first command and the second command; processing, by the processor, the first command and the second command with at least one rule of an error model based on the similarities and dissimilarities to determine a root cause; and selectively executing a recovery process based on the root cause.