Abstract: Technologies are disclosed herein for selecting one or more content instances of a plurality of content instances for display on a head unit of a vehicle. The content instances correspond to a location of a vehicle and are received by the head unit. The head unit obtains vehicle specific information from memory of the head unit. Based on the vehicle specific information, the head unit selects the one or more content instances using a set of criteria for determining which, if any, content instances to display. Selection of the one or more content instances using the set of criteria may involve consideration of information associated with individual instances of the plurality of content instances. The selected one or more content instances are displayed on a display of the head unit.

Abstract: A system includes a plurality of cameras each enabled to operate independently of the others as a component camera. The system includes logic operable to form the component cameras into a network operable as a single federated camera device. The lens types of the component cameras are non-heterogeneous, and the federated camera forms a virtual lens comprising characteristics combining the lens types of the component cameras.

Abstract: Embodiments are directed towards a system and method of anonymizing vehicle location data by using a centralized location of entities near the vehicle instead of the actual vehicle location. One or more entities are selected within a threshold radius around the vehicle. The centralized location is determined based on publicly available entity location information for the selected entities. The centralized location is stored or transmitted to third parties as the vehicle's location. A characteristic of the vehicle or a time range associated with capturing the actual vehicle location may be associated with the centralized location without including an identifier of the vehicle.

Abstract: One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved.

Abstract: Embodiments are directed towards providing a system that presents customized content to a user in an automobile based on the usage patterns of the automobile or its current occupant. Accessory data from the automobile is monitored to learn the automobile-usage patterns. The automobile-usage patterns are mapped to a plurality of content items, such as by mapping the content items to services, which are then mapped to the automobile-usage patterns. The plurality of content items are prioritized for display to the user based on the automobile-usage patterns and the frequency of those automobile-usage patterns. The prioritized content items can be presented to the user sequentially or in response to accessory data that matches an automobile-usage pattern.

Abstract: Technologies are disclosed herein for selecting a content instance for enforcing a protocol on a head unit of a vehicle. The content instance corresponds to a geographic region of a vehicle and is received by the head unit in the geographic region. The content instance includes a set of criteria for determining whether to enforce the protocol. Enforcement of the protocol by the head unit may adjust operation of the head unit or how the head unit presents media content. The head unit may establish communication connections with head units of other vehicles. The head units may communicate vehicle specific information over the communication connections and implement protocols as a result of the communications.

Abstract: Embodiments are directed towards a system and method of employing a bridge service to coordinate messages from a keep-alive connection between a head unit of a vehicle and a connection broker with microservices via unary connections. The bridge service stores configuration information that maps topic connection information for the keep-alive connection with microservice connection information. The bridge service subscribes with the connection broker to topics associated with the microservices based on the configuration information. A message that is published to the keep-alive connection having a published topic that corresponds to a subscribed topic is received from the connection broker. The microservice connection information that maps to the published topic is selected based on the configuration information.

Abstract: Embodiments are directed towards providing a system that provides an environment in which multiple user applications can be executed in the background of a vehicle head unit without direct interaction by a user of the head unit. A category-management application is configured to communicate with the user applications. The category-management application receives a request for content. The category-management application provides a request to one or more of the user applications to cause the user applications to execute as background processes to fulfill the request. The category-management application receives responses from the user applications. The category-management application selects and presents content associated with the fulfilled request to the user.

Abstract: A method or system is capable of detecting operator behavior (“OB”) utilizing a virtuous cycle containing sensors, machine learning center (“MLC”), and cloud based network (“CBN”). In one aspect, the process monitors operator body language captured by interior sensors and captures surrounding information observed by exterior sensors onboard a vehicle as the vehicle is in motion. After selectively recording the captured data in accordance with an OB model generated by MLC, an abnormal OB (“AOB”) is detected in accordance with vehicular status signals received by the OB model. Upon rewinding recorded operator body language and the surrounding information leading up to detection of AOB, labeled data associated with AOB is generated. The labeled data is subsequently uploaded to CBN for facilitating OB model training at MLC via a virtuous cycle.

Abstract: A method and system for enabling use of a reusable-code section across applications of different operating systems. For a first application designed for a first operating system (“OS”), a first native-code section and a reusable-code section are defined as part of the first application. For a second application designed for a second OS, a second native-code section and the reusable-code section are defined as part of the second application, and the second application is incapable of running on the first OS. The first and second native-code sections communicate with a web-services server, which communicates with a plurality of backend-services servers, at least some of which are controlled by different entities. The web-services server coordinates the execution of service requests with the backend-services servers on behalf of the first and second applications. The reusable-code section facilitates the display of user-interface elements when the first and second applications are executed.

Abstract: A system includes a plurality of cameras each enabled to operate independently of the others as a component camera. The system includes logic operable to form the component cameras into a network operable as a single federated camera device. The lens types of the component cameras are non-heterogeneous, and the federated camera forms a virtual lens comprising characteristics combining the lens types of the component cameras.

Abstract: Technologies are disclosed herein for selecting one or more content instances of a plurality of content instances for display on a head unit of a vehicle. The content instances correspond to a location of a vehicle and are received by the head unit. The head unit obtains vehicle specific information from memory of the head unit. Based on the vehicle specific information, the head unit selects the one or more content instances using a set of criteria for determining which, if any, content instances to display. Selection of the one or more content instances using the set of criteria may involve consideration of information associated with individual instances of the plurality of content instances. The selected one or more content instances are displayed on a display of the head unit.

Abstract: A method or system capable of managing automobile parking space (“APS”) using containerized sensors, machine learning center, and cloud based network is disclosed. A process, in one aspect, monitors the surrounding information observed by a set of onboard sensors of a vehicle as the vehicle is in motion. After selectively recording the surrounding information in accordance with instructions from a containerized APS model which is received from a machine learning center, an APS and APS surrounding information are detected when the vehicle is in a parked condition. Upon rewinding recorded surrounding information leading up to the detection of APS, labeled data associated with APS is generated based on APS and the recorded surrounding information. The process subsequently uploads the labeled data to the cloud based network for facilitating APS model training at the machine learning center via a virtuous cycle.

Abstract: Embodiments are directed towards providing a system that presents content to a user of a vehicle based on where the vehicle is going. A microphone captures audio signals within the vehicle, which are analyzed for route information. These audible commands may be said by a person in the vehicle, such as a passenger telling the driver where to turn, or they may be received from a mobile computing device, such as a smartphone executing a map application that is providing audible directions. An anticipated route of the vehicle is determined based on the audible route information. Content is selected and presented to the user of the vehicle based on the anticipated route. Images of a display screen of the mobile computing device may also be analyzed to identify the route information.

Abstract: One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved.

Abstract: Technologies are disclosed herein for selecting one or more content instances of a plurality of content instances for display on a head unit of a vehicle. The content instances correspond to a location of a vehicle and are received by the head unit. The head unit obtains vehicle specific information from memory of the head unit. Based on the vehicle specific information, the head unit selects the one or more content instances using a set of criteria for determining which, if any, content instances to display. Selection of the one or more content instances using the set of criteria may involve consideration of information associated with individual instances of the plurality of content instances. The selected one or more content instances are displayed on a display of the head unit.

Abstract: Embodiments are directed towards providing a system that presents customized content to a user of an automobile based on what the user of the automobile is looking at. A first camera captures images of the user of the interior of the automobile, and a second camera captures images of a scene that the user is viewing. The images are analyzed to determine if the user is looking at, or not looking at, an object in the scene. If the user is looking at such an object, content associated with the object is selected and presented to the user.

Abstract: One embodiment discloses an automobile having multiple distributed subsystems configured to provide communication via a network system. The automobile includes an outward facing camera (“OFC”) subsystem and a vehicle onboard computer (“VOC”). The OFC subsystem, having at least one OFC, OFC processor, and OFC database, is configured to recognize a predefined exterior object from a set of exterior images captured by the OFC based on an OFC query. The VOC includes a VOC central processing unit, VOC database, and network manager, wherein the network manager includes an internal network circuit and an external network circuit. The internal network circuit is used for communicating with the OFC subsystem while the external network circuit is used to interface with a cloud system. In one aspect, the VOC provides a data stream representing a recognized event in accordance with a query retrieved from the VOC database.

Abstract: Technologies are disclosed herein for selecting a content instance for enforcing a protocol on a head unit of a vehicle. The content instance corresponds to a geographic region of a vehicle and is received by the head unit in the geographic region. The content instance includes a set of criteria for determining whether to enforce the protocol. Enforcement of the protocol by the head unit may adjust operation of the head unit or how the head unit presents media content. The head unit may establish communication connections with head units of other vehicles. The head units may communicate vehicle specific information over the communication connections and implement protocols as a result of the communications.

Abstract: Embodiments are directed towards providing a system that presents content to a user of a vehicle based on where the vehicle is going. A microphone captures audio signals within the vehicle, which are analyzed for route information. These audible commands may be said by a person in the vehicle, such as a passenger telling the driver where to turn, or they may be received from a mobile computing device, such as a smartphone executing a map application that is providing audible directions. An anticipated route of the vehicle is determined based on the audible route information. Content is selected and presented to the user of the vehicle based on the anticipated route. Images of a display screen of the mobile computing device may also be analyzed to identify the route information.