Abstract: A computer-implemented method and a computer program product for pending updates status queries in extended link services. A host application on a host device queries an update pending on a target device. The host device constructs a pending update query command for the target device, where the pending update query command includes a descriptor tag, a descriptor length, and a pending update vector. The host device sends the pending update query command to the target device. The host device receives from the target device a response to the pending update query command, where the response includes a link service request information descriptor and a pending update descriptor.

Abstract: An approach for recommending a prioritized list of replacement of failed drives. The approach receives data associated with failed drives from data centers. The approach segregates the data into variable groups based on a data type. The approach creates a logical layer of entry lists, based on the units, for instantiations of the executable program. The approach sorts the data into priority groups based on priority rules associated with the variable groups and predetermined thresholds. The approach generates a prioritized list of failed drive replacement order based on an ensemble machine learning model. The approach outputs the prioritized list, replacement drive availability information and drive replacement personnel availability information.

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.

Abstract: Techniques to allow for ease of navigation within a photo browsing interface of a social networking system. In one embodiment, a designation of a first image for sharing is received from within at least one of a single-image view and a camera view. Based on the designation, the first image is added to a communication. The designation may be based on a user selection of an option provided by an interface of a mobile device. The first image may be received from within a social networking application or from within a dedicated camera application. In another embodiment, the privacy level of the communication and the designated images is based on the privacy setting of a user. The communication and the designated images may contain tag data identifying one or more people on a social networking system. In an alternative embodiment, the privacy level of the communication and designated images is adjusted according to the one or more people identified in the tag data.

Abstract: Techniques to share images in a social networking system. In an embodiment, an image is received from a first user, the image is associated with a first archive of the first user within a social networking system, and the image is associated with a second archive of a second user within the social networking system without the social networking system receiving a request from the second user to download the image. The image may be received from a mobile device. The image may be captured by a camera of a mobile device. The image may be automatically uploaded from a mobile device. A request may be received from the second user to include the image in the second archive associated with the second user. Associating the image with the second archive of the second user may comprise including a link to the image in the second archive.