Abalta Technologies, Inc.

Infogation Corporation

Pavel Stankoulov

Kent Qing Pu

David Hetherington

Michael O'Shea

Marc-Andre Schier

A mobile device application adapted to provide multimedia content to a target canvas is described. The application includes sets of instructions for: establishing a communication link with an external system associated with the target canvas; rendering multimedia content for playback by the target canvas; and sending the rendered multimedia content to the target canvas over the communication link. A mobile device application adapted to execute web-based applications in a browser associated with an external system includes sets of instructions for: establishing a communication link with the external system; accessing a web-based application; and rendering content associated with the application and sending the rendered content to the external system for display in the browser. A system adapted to provide multimedia content includes: a target adapted to display multimedia content; a host adapted to generate multimedia content; and a remote server adapted to at least partially control the display of multimedia content.

Distributed cross-platform application projection management and delivery

A gateway that projects user device application content (e.g., streaming video) to a connected resource is described. The user device may be an electronic device such as a smart phone, tablet, wearable device, etc. The connected resource may be a device such as a vehicle head unit. Application content may be associated with any applications that may be executed by the user device, such as media streaming services, games, etc. User inputs received at the connected resource may be applied at the user device via the gateway by translating the received user input data, as appropriate, and emulating the received inputs at the user device. Applications may be recognized by the gateway such that application content may be filtered or otherwise processed or managed, as appropriate. Machine learning may be used to train models associated with application or content recognition, rules associated with operating restrictions, and/or other such elements.

Projection, control, and management of user device applications using a connected resource

An automated method of evaluating driver performance using adaptive models includes: receiving sensor data generated by a set of vehicle sensors associated with a vehicle; generating a set of predicted paths of the vehicle based at least partly on the received sensor data; retrieving map information from a map database, the map information including road links along the set of predicted paths of the vehicle; retrieving a set of evaluation curves associated with the road links, where inclusion in the set of evaluation curves is based on evaluation of dynamic models associated with the road links along the set of predicted paths; calculating mathematical differences between each evaluation curve and the received data and generating a driver score based on a calculated difference in area between the received data and each evaluation curve; and displaying a warning if at least one of the calculated mathematical differences exceeds a warning threshold.

Adaptive analysis of driver behavior

Distributed cross-platform user interface and application projection

A remote controller that interacts with a system under control (SUC) includes: at least one input adapted to receive data from a user; a command interpreter adapted to evaluate data received via the at least one input and determine whether the received data is associated with a remote command from among a set of remote commands associated with the SUC; at least one communication element adapted to send remote commands to the SUC; and at least one haptic feedback element adapted to provide feedback to the user, where the SUC is an in-vehicle system including a display. An automated method includes: generating a list of recognizers; passing user input event data to the recognizers; determining a status for each recognizer; identifying a single recognizer based on the status, and retrieving a command associated with the single recognizer, where the input event is associated with an in-vehicle system having a display.

Interactive multi-touch remote control

An automated method that determines a roundtrip range of a vehicle includes: retrieving a set of parameters associated with the vehicle; retrieving map information regarding a geographic area including multiple links associated with available roadways in the geographic area and each link includes a cost value; determining a set of roundtrip range projection links by evaluating the links to identify multiple roundtrip paths extending radially outward from the vehicle by: determining a total cost of an outbound path and a return path, where the paths meet at a common node; and including the common node in a range projection polygon if a summed cost for a set of links included in the outbound path and the return path is less than a target cost; and generating and displaying a map of at least a portion of the geographic area and a set of range projection polygons overlaid onto the map.

Roundtrip range projection

An automated method of caching map data for vehicle range projection using a computer system including a processor and a storage includes: retrieving, from the storage to the processor, data corresponding to an area of a map, wherein the retrieved data includes multiple links and multiple nodes; dividing, at the processor, the area of the map into a set of tiles; associating, at the processor, a portion of the retrieved data with each tile in the set of tiles; evaluating, at the processor, each particular link to determine whether the particular link spans multiple tiles from the set of tiles; and dividing, at the processor, the particular link into at least two sub-links if the particular link spans multiple tiles by adding a node at each point the particular link crosses a boundary between two tiles.

Caching map data for efficient vehicle range projection

A system that monitors, records and analyzes driver performance includes a server having: a map data access module that retrieves map data elements indicating various features associated with at least one path of at least one vehicle including a set of previously-defined segments having a set of associated points including a set of associated attributes having a set of fixed attributes; a communication module that receives information from the at least one vehicle, the received information including data from an in-vehicle system including sensors associated with the at least one vehicle; a driver behavior engine that monitors and evaluates driver performance based on the received information by: generating evaluation curves based on the retrieved set of map data elements; and calculating mathematical differences between each evaluation curve and corresponding performance curves generated based on the set of measured driving characteristics for a particular driver and a particular trip.

Recording, monitoring, and analyzing driver behavior

A system adapted to determine a projected range of a vehicle is described. The system includes: a storage element adapted to store a set of parameters associated with a vehicle; a map evaluation element adapted to retrieve information regarding a geographic area associated with a position of the vehicle; and a processing element adapted to determine the projected range of the vehicle based at least partly on the set of parameters and the retrieved information. An automated method of projecting a range of a vehicle includes: generating a set of range projection links; generating a monochrome bitmap based at least partly on the set of range projection links; rendering the set of range projection links within the monochrome bitmap; and tracing the rendered links to generate a polygon outline of the range of the vehicle. An automated method of caching map data for vehicle range projection is described.

Transforming map data for efficient vehicle range projection

A system that monitors, records and analyzes driver performance includes: a vehicle sensor module that receives data from a set of sensors that each measure a driving characteristic associated with a vehicle; a map data access module that retrieves map data elements indicating various features associated with a path of the vehicle including a set of previously-defined segments, each segment having a set of associated joints each including a set of associated attributes including a set of fixed attributes with unchanging values; and a driver behavior engine that monitors and evaluates driver performance; calculates mathematical differences between a set of evaluation curves and each of multiple corresponding performance curves based on the set of measured driving characteristics, where the mathematical differences are quantified by determining a geometrical area between each evaluation curve and each corresponding performance curve, where the curves are associated with a particular driver and a particular trip.

A system that determines a projected range of a vehicle is described. The system includes: a storage element that stores a set of parameters associated with a vehicle; a map evaluation element that retrieves information regarding a geographic area associated with a position of the vehicle, where the retrieved information includes multiple links associated with available roadways in the geographic area and each link includes a cost value; and a processing element that determines the projected range of the vehicle based at least partly on the set of parameters and the retrieved information, by evaluating the links to identify multiple paths extending outward from the position of the vehicle, where each path includes a set of links having a summed cost value that is less than a target cost, where the processing element further generates a polygon representing the projected range by tracing the links associated with the paths.

Vehicle range projection

Computer-assisted navigation is achieved with component-oriented programming and instructions that provide a distributed component programming navigation system. The computer-assisted navigation is achieved with a computing device including a logical data model configured to provide abstract interfaces in a process to convert a format and data model of a provider to an appropriate format and data model suitable for the computing device, wherein the process occurs on demand, only when needed, or the conversion occurs in accordance with the format and data model of the provider, and at download time or at an initial processing time. As a result, such a computing device can be advantageously used many environments including a distributed navigation system.

Extensible navigation systems

Computer-assisted navigation is achieved with component-oriented programming and instructions that provide a distributed component programming navigation system. The computer-assisted navigation is achieved with a computing device having program memory. Operationally, the component-oriented application loaded in the memory provides a distributed navigation system comprising a User Interface component, a Service Manager component, a User Positioning category of components that provides a user position based on navigation sensor data, and a Mapping category of components that accesses a map database and places the user position on a road segment of the map database. The components within the component-oriented application are managed by the service manager component to perform distributed navigation services.

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San Diego, CA, United States of America

Pavel Stankoulov