Abstract: In some aspects, the disclosure is directed to methods and systems for sorting, correlation, and/or matching of structured and unstructured data. In some implementations, metadata associated with structured data may be applied to unstructured data based on the results of the sort or correlation. Such sorting or matching may be performed through an efficient iterative process with progressive confidence scores, and use a priori knowledge from correlations between structured data values to identify potentially associated unstructured data values.

Abstract: In some aspects, the disclosure is directed to methods and systems for sorting, correlation, and/or matching of structured and unstructured data. In some implementations, metadata associated with structured data may be applied to unstructured data based on the results of the sort or correlation. Such sorting or matching may be performed through an efficient iterative process with progressive confidence scores, and use a priori knowledge from correlations between structured data values to identify potentially associated unstructured data values.

Abstract: In some aspects, the disclosure is directed to methods and systems for sorting, correlation, and/or matching of structured and unstructured data. In some implementations, metadata associated with structured data may be applied to unstructured data based on the results of the sort or correlation. Such sorting or matching may be performed through an efficient iterative process with progressive confidence scores, and use a priori knowledge from correlations between structured data values to identify potentially associated unstructured data values.

Abstract: In some aspects, the disclosure is directed to methods and systems for sorting, correlation, and/or matching of structured and unstructured data. In some implementations, metadata associated with structured data may be applied to unstructured data based on the results of the sort or correlation. Such sorting or matching may be performed through an efficient iterative process with progressive confidence scores, and use a priori knowledge from correlations between structured data values to identify potentially associated unstructured data values.

Abstract: A vehicle attachment for guiding a vehicle includes a magnetic tape sensor, at least one sensor, a controller, at least one coupling device for attachment to the vehicle, and a vehicle interface system. The magnetic tape sensor is configured to detect a path. The at least one sensor can detect whether there are any obstructions along the path. The controller is configured to steer the vehicle along the predefined path and to adjust the speed of the vehicle to avoid coming in contact with any obstructions. The vehicle interface system is configured to communicatively couple the controller to at least one electronic control unit of the vehicle.

Abstract: A vehicle attachment for guiding a vehicle includes a magnetic tape sensor, at least one sensor, a controller, at least one coupling device for attachment to the vehicle, and a vehicle interface system. The magnetic tape sensor is configured to detect a path. The at least one sensor can detect whether there are any obstructions along the path. The controller is configured to steer the vehicle along the predefined path and to adjust the speed of the vehicle to avoid coming in contact with any obstructions. The vehicle interface system is configured to communicatively couple the controller to at least one electronic control unit of the vehicle.

Abstract: A steering wheel is configured as a dual-state input device configured to operate in two distinct states based on a current driving mode. In a manual driving mode, the input device is configured to control a limited set of vehicle functions and in an autonomous mode the input device is configured to control an expanded set of vehicle functions. The steering wheel includes a wheel rim movably mounted on a steering column and a hub disposed within a center of the wheel rim on the steering column, the main body portion comprising an interactive touch screen disposed on the main body portion. The wheel rim is configured to disengage from the hub and move along the steering column to a retracted position.

Abstract: A control system, components and methodologies enable control of vehicle and in-vehicle system functionality via gesture recognition. In illustrative embodiments, the control system, constituent components and methodologies determine what functionality a user wishes to control by tracking the user's gaze to identify a selected function or function set. In combination with identifying the selected function and function set, one or more sensors installed in the vehicle detect one or more user gestures initiated by a user to interact with and/or control the selected function/function set.

Abstract: A method for controlling a vehicle which includes obtaining, via at least one detecting device, behavior information of a driver in the vehicle, and transitioning control statuses of the vehicle according to the driver behavior information.

Abstract: A steering wheel is configured as a dual-state input device configured to operate in two distinct states based on a current driving mode. In a manual driving mode, the input device is configured to control a limited set of vehicle functions and in an autonomous mode the input device is configured to control an expanded set of vehicle functions. The steering wheel includes a wheel rim movably mounted on a steering column and a hub disposed within a center of the wheel rim on the steering column, the main body portion comprising an interactive touch screen disposed on the main body portion. The wheel rim is configured to disengage from the hub and move along the steering column to a retracted position.

Abstract: A method for controlling a vehicle which includes obtaining, via at least one detecting device, behavior information of a driver in the vehicle, and transitioning control statuses of the vehicle according to the driver behavior information.