Abstract: An autonomous vehicle computing system can include a primary perception system configured to receive a plurality of sensor data points as input generate primary perception data representing a plurality of classifiable objects and a plurality of paths representing tracked motion of the plurality of classifiable objects. The autonomous vehicle computing system can include a secondary perception system configured to receive the plurality of sensor data points as input, cluster a subset of the plurality of sensor data points of the sensor data to generate one or more sensor data point clusters representing one or more unclassifiable objects that are not classifiable by the primary perception system, and generate secondary path data representing tracked motion of the one or more unclassifiable objects. The autonomous vehicle computing system can generate fused perception data based on the primary perception data and the one or more unclassifiable objects.

Abstract: The present disclosure relates to a personal computing device configured to provide a sensor hierarchy for a subscriber comprising: a sensor module, configured to receive or retrieve values from a sensor; a memory module, configured to store data indicative of a sensor hierarchy, wherein the sensor hierarchy comprises a plurality of nodes wherein each node comprises at least one hierarchical identifier and at least one node comprises data indicative of the sensor module; and a sensor hierarchy module, configured to: obtain the data indicative of the sensor hierarchy from the memory module; receive a subscription request from the subscriber, wherein preferably the subscription request comprises data indicative of the hierarchical identifier to subscribe to; optionally locate the hierarchical identifier of the subscription request within the sensor hierarchy; and subscribe the subscriber based on the subscription request.

Abstract: An apparatus is provided for determining an output based on a membership of the user in an audience. The apparatus includes a processor for determining a threshold associated with membership of an audience, determining a score relating to a user in dependence on one or more activities of the user associated with the audience wherein at least one activity is determined based on contextual information of the user, and determining the membership of the user in the audience in dependence on whether the score exceeds the threshold. Also included is a user interface and/or a communication interface for providing an output for the user based on the membership of the user in the audience.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for associating objects are provided. For example, the disclosed technology can receive sensor data associated with the detection of objects over time. An association dataset can be generated and can include information associated with object detections of the objects at a most recent time interval and object tracks of the objects at time intervals in the past. A subset of the association dataset including the object detections that satisfy some association subset criteria can be determined. Association scores for the object detections in the subset of the association dataset can be determined. Further, the object detections can be associated with the object tracks based on the association scores for each of the object detections in the subset of the association dataset that satisfy some association criteria.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for associating objects are provided. For example, the disclosed technology can receive sensor data associated with the detection of objects over time. An association dataset can be generated and can include information associated with object detections of the objects at a most recent time interval and object tracks of the objects at time intervals in the past. A subset of the association dataset including the object detections that satisfy some association subset criteria can be determined. Association scores for the object detections in the subset of the association dataset can be determined. Further, the object detections can be associated with the object tracks based on the association scores for each of the object detections in the subset of the association dataset that satisfy some association criteria.

Abstract: An autonomous vehicle computing system can include a primary perception system configured to receive a plurality of sensor data points as input generate primary perception data representing a plurality of classifiable objects and a plurality of paths representing tracked motion of the plurality of classifiable objects. The autonomous vehicle computing system can include a secondary perception system configured to receive the plurality of sensor data points as input, cluster a subset of the plurality of sensor data points of the sensor data to generate one or more sensor data point clusters representing one or more unclassifiable objects that are not classifiable by the primary perception system, and generate secondary path data representing tracked motion of the one or more unclassifiable objects. The autonomous vehicle computing system can generate fused perception data based on the primary perception data and the one or more unclassifiable objects.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for associating objects are provided. For example, the disclosed technology can receive sensor data associated with the detection of objects over time. An association dataset can be generated and can include information associated with object detections of the objects at a most recent time interval and object tracks of the objects at time intervals in the past. A subset of the association dataset including the object detections that satisfy some association subset criteria can be determined. Association scores for the object detections in the subset of the association dataset can be determined. Further, the object detections can be associated with the object tracks based on the association scores for each of the object detections in the subset of the association dataset that satisfy some association criteria.

Abstract: An autonomous vehicle computing system can include a primary perception system configured to receive a plurality of sensor data points as input generate primary perception data representing a plurality of classifiable objects and a plurality of paths representing tracked motion of the plurality of classifiable objects. The autonomous vehicle computing system can include a secondary perception system configured to receive the plurality of sensor data points as input, cluster a subset of the plurality of sensor data points of the sensor data to generate one or more sensor data point clusters representing one or more unclassifiable objects that are not classifiable by the primary perception system, and generate secondary path data representing tracked motion of the one or more unclassifiable objects. The autonomous vehicle computing system can generate fused perception data based on the primary perception data and the one or more unclassifiable objects.

Abstract: The present disclosure relates to an apparatus for sharing data, the apparatus comprising: means for receiving data signals; wherein the data signals include a plurality of types of contextual information relating to a user, wherein each type of contextual information comprises information inferred from sensor data; and means for performing an operation in dependence on the plurality of types of contextual information.

Abstract: The present disclosure relates to a personal computing device configured to provide a sensor hierarchy for a subscriber comprising: a sensor module, configured to receive or retrieve values from a sensor; a memory module, configured to store data indicative of a sensor hierarchy, wherein the sensor hierarchy comprises a plurality of nodes wherein each node comprises at least one hierarchical identifier and at least one node comprises data indicative of the sensor module; and a sensor hierarchy module, configured to: obtain the data indicative of the sensor hierarchy from the memory module; receive a subscription request from the subscriber, wherein preferably the subscription request comprises data indicative of the hierarchical identifier to subscribe to; optionally locate the hierarchical identifier of the subscription request within the sensor hierarchy; and subscribe the subscriber based on the subscription request.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for associating objects are provided. For example, the disclosed technology can receive sensor data associated with the detection of objects over time. An association dataset can be generated and can include information associated with object detections of the objects at a most recent time interval and object tracks of the objects at time intervals in the past. A subset of the association dataset including the object detections that satisfy some association subset criteria can be determined. Association scores for the object detections in the subset of the association dataset can be determined. Further, the object detections can be associated with the object tracks based on the association scores for each of the object detections in the subset of the association dataset that satisfy some association criteria.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for associating objects are provided. For example, the disclosed technology can receive sensor data associated with the detection of objects over time. An association dataset can be generated and can include information associated with object detections of the objects at a most recent time interval and object tracks of the objects at time intervals in the past. A subset of the association dataset including the object detections that satisfy some association subset criteria can be determined. Association scores for the object detections in the subset of the association dataset can be determined. Further, the object detections can be associated with the object tracks based on the association scores for each of the object detections in the subset of the association dataset that satisfy some association criteria.

Abstract: An autonomous vehicle computing system can include a primary perception system configured to receive a plurality of sensor data points as input generate primary perception data representing a plurality of classifiable objects and a plurality of paths representing tracked motion of the plurality of classifiable objects. The autonomous vehicle computing system can include a secondary perception system configured to receive the plurality of sensor data points as input, cluster a subset of the plurality of sensor data points of the sensor data to generate one or more sensor data point clusters representing one or more unclassifiable objects that are not classifiable by the primary perception system, and generate secondary path data representing tracked motion of the one or more unclassifiable objects. The autonomous vehicle computing system can generate fused perception data based on the primary perception data and the one or more unclassifiable objects.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for associating objects are provided. For example, the disclosed technology can receive sensor data associated with the detection of objects over time. An association dataset can be generated and can include information associated with object detections of the objects at a most recent time interval and object tracks of the objects at time intervals in the past. A subset of the association dataset including the object detections that satisfy some association subset criteria can be determined. Association scores for the object detections in the subset of the association dataset can be determined. Further, the object detections can be associated with the object tracks based on the association scores for each of the object detections in the subset of the association dataset that satisfy some association criteria.

Abstract: Generally, the present disclosure is directed to systems and methods for detecting objects of interest and determining location information and motion information for the detected objects based at least in part on sensor data (e.g., LIDAR data) provided from one or more sensor systems (e.g., LIDAR systems) included in the autonomous vehicle. The perception system can include a machine-learned detector model that is configured to receive multiple time frames of sensor data and implement curve-fitting of sensor data points over the multiple time frames of sensor data. The machine-learned model can be trained to determine, in response to the multiple time frames of sensor data provided as input, location information descriptive of a location of one or more objects of interest detected within the environment at a given time and motion information descriptive of the motion of each object of interest.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for operating an autonomous vehicle are provided. For example, a method can include receiving object data based on one or more states of one or more objects. The object data can include information based on sensor output associated with one or more portions of the one or more objects. Characteristics of the one or more objects, including an estimated set of physical dimensions of the one or more objects can be determined, based in part on the object data and a machine learned model. One or more orientations of the one or more objects relative to the location of the autonomous vehicle can be determined based on the estimated set of physical dimensions of the one or more objects. Vehicle systems associated with the autonomous vehicle can be activated, based on the one or more orientations of the one or more objects.

Abstract: A business can register a finite state machine with a server. This finite state machine can express a tree structure of menus. The registration can cause the finite state machine to be mapped to the business's telephone number on the server. A mobile device can receive user input that manifests the intent to make a telephone call. In response to receiving the user input, the mobile device can determine that the telephone number that the user intends to call is mapped to a business's registered finite state machine on the server. The mobile device can then cause menus of selectable options, indicated in the business's registered finite state machine, to be displayed to the user in an interactive manner instead of placing the telephone call that the user intended to make.

Abstract: A method includes a wireless mobile device communicating with a wireless network via an evolved high rate packet data (eHRPD) interface. The wireless mobile device may receive a vendor specific network control protocol (VSNCP) packet such as a terminate-request packet, for example, that indicates the wireless network has requested a PDN disconnection. The VSNCP packet includes a cause code that indicates a reason for the PDN disconnection request. The wireless device may use the cause code to determine the reason for the PDN disconnection request. Accordingly, in response to receiving the VSNCP packet, the wireless mobile device may perform one or more operations in an effort to resolve any issues that may have caused the PDN disconnection request.

Abstract: A processor in a mobile wireless device communicates detailed state information about attachments to a user identity module card embedded in the mobile wireless device. The processor detects a change in an attach state of the mobile wireless device for at least one of a plurality of attachment types. The processor determines the attach state of the mobile wireless device for each of the plurality of attachment types and sends a status message to the user identity module card indicating the determined attach states. The plurality of attachment types can include at least a circuit switched attachment and a packet switched attachment. The processor can wait until completion of circuit switched and packet switched attachments of the mobile wireless device to the wireless network prior to sending the status message.

Abstract: A user equipment (UE) may camp on a network following a SIM bootup. Specifically, the UE may determine that a SIM implementation module of the UE includes a first SIM application (e.g., USIM) associated with a first cellular radio access technology (RAT) (e.g., LTE) and a second SIM application (e.g., CSIM) associated with a second cellular RAT (e.g., CDMA). The UE may then initialize the first SIM application and the second SIM application. The UE may determine whether the network is configured to support both voice and data communications using the first cellular RAT. If so, the UE may initiate camping on the network with the first cellular RAT in response to determining that the first SIM application is ready, but before the second SIM application is ready. If not, the UE may wait until both the first and second SIM applications are ready before initiating camping on the network.