Abstract: A computing system and method that can be used for organizing product-related emails, wherein product-related emails can pertain to products such as objects/items or otherwise pertain to entities such as experiences, subscriptions, services etc. In particular, example aspects of the present disclosure involve computing systems and computer-implemented methods for organizing product-related emails based on historical user data and characteristics extracted from the product-related emails. The systems and methods of the present disclosure allow for use of email that more conveniently conveys pertinent information contained in product-related emails through presentation of various information predicted as more valuable to a user and methods to more easily find product-related emails associated with a user's particular desires.

Abstract: Systems and methods are provided for remotely detecting a status associated with an autonomous vehicle and generating control actions in response to such detections. In one example, a computing system can access a third-party communication associated with an autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a predetermined identifier associated with the autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a status associated with the autonomous vehicle, and transmit one or more control messages to the autonomous vehicle based at least in part on the predetermined identifier and the status associated with the autonomous vehicle.

Abstract: The technology disclosed relates to maintaining a cache of effective properties in an identity management system employing a graph. In particular, it relates to handling vertex/edge and/or graph topology updates in accordance with update notification requirements configured from a schema and, in conjunction with detecting updating of vertex/edge attributes and/or graph topology, recalculating effective attributes in accordance with the configured notification requirements.

Abstract: The technology disclosed relates to reducing forwarding of notifications from a current vertex of a current vertex class by performing a next-hop analysis in a graph with a schema defining at least two classes of vertices with at least one vertex class caching relationship derived virtual properties (“RDVPs”) and how vertices of the vertex classes forward the notifications. The technology involves having, at the current vertex, a notification, ascertaining, from the relationships between the current vertex and target vertices that are connected in one hop, the vertex classes of the target vertices. The current vertex conditionally forwards notifications to vertices of other vertex classes dependent on the next-hop analysis. The next hop analysis is satisfied when the target vertex is configured to update an RDVP cache based on a relationship path or the target vertex is configured to propagate notifications to a further vertex.

Abstract: The technology disclosed relates to maintaining a cache of effective properties in an identity management system employing a graph. In particular, it relates to handling vertex/edge and/or graph topology updates in accordance with update notification requirements configured from a schema and, in conjunction with detecting updating of vertex/edge attributes and/or graph topology, recalculating effective attributes in accordance with the configured notification requirements.

Abstract: Systems and methods are provided for remotely detecting a status associated with an autonomous vehicle and generating control actions in response to such detections. In one example, a computing system can access a third-party communication associated with an autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a predetermined identifier associated with the autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a status associated with the autonomous vehicle, and transmit one or more control messages to the autonomous vehicle based at least in part on the predetermined identifier and the status associated with the autonomous vehicle.

Abstract: Aspects of the present disclosure involve systems, methods, and devices for fault detection in a Lidar system. A fault detection system obtains incoming Lidar data output by a Lidar system during operation of an AV system. The incoming Lidar data includes one or more data points corresponding to a fault detection target on an exterior of a vehicle of the AV system. The fault detection system accesses historical Lidar data that is based on data previously output by the Lidar system. The historical Lidar data corresponds to the fault detection target. The fault detection system performs a comparison of the incoming Lidar data with the historical Lidar data to identify any differences between the two sets of data. The fault detection system detects a fault condition occurring at the Lidar system based on the comparison.

Abstract: Systems and methods are provided for remotely detecting a status associated with an autonomous vehicle and generating control actions in response to such detections. In one example, a computing system can access a third-party communication associated with an autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a predetermined identifier associated with the autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a status associated with the autonomous vehicle, and transmit one or more control messages to the autonomous vehicle based at least in part on the predetermined identifier and the status associated with the autonomous vehicle.

Abstract: The technology disclosed relates to maintaining a cache of effective properties in an identity management system employing a graph. In particular, it relates to handling vertex/edge and/or graph topology updates in accordance with update notification requirements configured from a schema and, in conjunction with detecting updating of vertex/edge attributes and/or graph topology, recalculating effective attributes in accordance with the configured notification requirements.

Abstract: Systems and methods for automatically servicing autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining data associated with one or more reference mechanisms located on an autonomous vehicle. The method includes identifying information associated with the autonomous vehicle based at least in part on the data associated with the one or more reference mechanisms located on the autonomous vehicle. The information associated with the autonomous vehicle includes an orientation of the autonomous vehicle. The method includes determining a vehicle maintenance plan for the autonomous vehicle based at least in part on the information associated with the autonomous vehicle. The method includes providing one or more control signals to implement the vehicle maintenance plan for the autonomous vehicle based at least in part on the orientation of the autonomous vehicle.

Abstract: Aspects of the present disclosure involve systems, methods, and devices for fault detection in a Lidar system. A fault detection system obtains incoming Lidar data output by a Lidar system during operation of an AV system. The incoming Lidar data includes one or more data points corresponding to a fault detection target on an exterior of a vehicle of the AV system. The fault detection system accesses historical Lidar data that is based on data previously output by the Lidar system. The historical Lidar data corresponds to the fault detection target. The fault detection system performs a comparison of the incoming Lidar data with the historical Lidar data to identify any differences between the two sets of data. The fault detection system detects a fault condition occurring at the Lidar system based on the comparison.

Abstract: A sensor system for a vehicle, including a first sensor that detects at least one collision-relevant physical variable and outputs at least one corresponding first sensor signal, and at least one second sensor that, independently of the first sensor, detects at least one collision-relevant physical variable and outputs at least one corresponding second sensor signal, and an evaluation and control unit that receives the at least one first sensor signal and the at least one second sensor signal and evaluates them for the collision detection. A method is also described for monitoring a sensor. The evaluation and control unit uses at least one second comparison signal that is based on the at least one second sensor signal of the at least one second sensor to monitor the first sensor.

Abstract: The technology disclosed relates to maintaining a cache of effective properties in an identity management system employing a graph. In particular, it relates to handling vertex/edge and/or graph topology updates in accordance with update notification requirements configured from a schema and, in conjunction with detecting updating of vertex/edge attributes and/or graph topology, recalculating effective attributes in accordance with the configured notification requirements.

Abstract: In one embodiment, a computing system may receive one or more input signals comprising information related to a user of the computing system. The computing system may determine an interpretation of the one or more input signals using a knowledge graph. The knowledge graph may include a number of layers of knowledge about the user or an environment of the computing system. The interpretation of the input signals may be determined based on the knowledge in the knowledge graph. The system may perform one or more execution operations based on the determined interpretation of the one or more input signals. The execution operations may include configuring one or more controllable systems associated with the computing system.

Abstract: Systems and methods for automatically servicing autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining data associated with one or more reference mechanisms located on an autonomous vehicle. The method includes identifying information associated with the autonomous vehicle based at least in part on the data associated with the one or more reference mechanisms located on the autonomous vehicle. The information associated with the autonomous vehicle includes an orientation of the autonomous vehicle. The method includes determining a vehicle maintenance plan for the autonomous vehicle based at least in part on the information associated with the autonomous vehicle. The method includes providing one or more control signals to implement the vehicle maintenance plan for the autonomous vehicle based at least in part on the orientation of the autonomous vehicle.

Abstract: Systems and methods for automatically servicing autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining data associated with one or more reference mechanisms located on an autonomous vehicle. The method includes identifying information associated with the autonomous vehicle based at least in part on the data associated with the one or more reference mechanisms located on the autonomous vehicle. The information associated with the autonomous vehicle includes an orientation of the autonomous vehicle. The method includes determining a vehicle maintenance plan for the autonomous vehicle based at least in part on the information associated with the autonomous vehicle. The method includes providing one or more control signals to implement the vehicle maintenance plan for the autonomous vehicle based at least in part on the orientation of the autonomous vehicle.

Abstract: Aspects of the present disclosure involve systems, methods, and devices for fault detection in a Lidar system. A fault detection system obtains incoming Lidar data output by a Lidar system during operation of an AV system. The incoming Lidar data includes one or more data points corresponding to a fault detection target on an exterior of a vehicle of the AV system. The fault detection system accesses historical Lidar data that is based on data previously output by the Lidar system. The historical Lidar data corresponds to the fault detection target. The fault detection system performs a comparison of the incoming Lidar data with the historical Lidar data to identify any differences between the two sets of data. The fault detection system detects a fault condition occurring at the Lidar system based on the comparison.

Abstract: Systems and methods for brake redundancy for an autonomous vehicle are provided. An autonomous vehicle braking system can include a primary brake control module comprising one or more processors. The primary brake control module can be configured to brake an autonomous vehicle in response to receiving a braking command from a vehicle autonomy system of the autonomous vehicle. The autonomous vehicle braking system can further include a secondary brake control module comprising one or more processors. The secondary brake control module can be configured to determine a failure of the primary brake control module to brake the autonomous vehicle in response to receiving the braking command. In response to determining the failure of the primary brake control module to brake the autonomous vehicle, the secondary brake control module can be configured to implement a braking action for the autonomous vehicle.

Abstract: A sensor system for a vehicle, including a first sensor that detects at least one collision-relevant physical variable and outputs at least one corresponding first sensor signal, and at least one second sensor that, independently of the first sensor, detects at least one collision-relevant physical variable and outputs at least one corresponding second sensor signal, and an evaluation and control unit that receives the at least one first sensor signal and the at least one second sensor signal and evaluates them for the collision detection. A method is also described for monitoring a sensor. The evaluation and control unit uses at least one second comparison signal that is based on the at least one second sensor signal of the at least one second sensor to monitor the first sensor.

Abstract: In one embodiment, a method includes sending, to a first client system of a first user, a first trending module having references to a first set of trending topics, where one of the references does not include a live badge; generate a trending-topic interface corresponding to a first trending topic in the first set of trending topics, wherein the trending-topic interface comprises a live module containing at least one live video associated with the first trending topic; storing a reference to the live module with a news-event object; querying the news-event object to determine whether a live module is associated with the first trending topic; and sending, to a second client system for display, a second trending module having references to a second set of trending topic that includes the first trending topic, wherein a reference to the first trending topic includes a live badge.