Abstract: Techniques for receiving and processing sensor data captured by a fleet of vehicle are discussed herein. In some examples, a fleet dashcam system can receive sensor data captured by electronic devices on a fleet of vehicles and can use that data to detect collision and near-collision events. The data of the collision or near-collision event can be used to determine a simulation scenario and a response of an autonomous vehicle control to the simulation scenario and/or it can be used to create a collision heat map to aid in operation of an autonomous vehicle.

Abstract: Techniques for determining a probability of a false negative associated with a location of an environment are discussed herein. Data from a sensor, such as a radar sensor, can be received that includes point cloud data, which includes first and second data points. The first data point has a first attribute and the second data point has a second attribute. A difference between the first and second attributes is determined such that a frequency distribution may be determined. The frequency distribution may then be used to determine a distribution function, which allows for the determination of a resolution function that is associated with the sensor. The resolution function may then be used to determine a probability of a false negative at a location in an environment. The probability can be used to control a vehicle in a safe and reliable manner.

Abstract: Techniques relating to monitoring map consistency are described. In an example, a monitoring component associated with a vehicle can receive sensor data associated with an environment in which the vehicle is positioned. The monitoring component can generate, based at least in part on the sensor data, an estimated map of the environment, wherein the estimated map is encoded with policy information for driving within the environment. The monitoring component can then compare first information associated with a stored map of the environment with second information associated with the estimated map to determine whether the estimated map and the stored map are consistent. Component(s) associated with the vehicle can then control the object based at least in part on results of the comparing.

Abstract: Techniques for verifying a reliability of map data are discussed herein. In some examples, map data can be used by a vehicle, such as an autonomous vehicle, to traverse an environment. Sensor data (e.g., image data, lidar data, etc.) can be received from a sensor associated with a vehicle and may be used to generate an estimated map and confidence values associated with the estimated map. When the sensor data is image data, images data from multiple perspectives or different time instances may be combined to generate the estimated map. The estimated map may be compared to a stored map or to a proposed vehicle trajectory or corridor to determine a reliability of the stored map data.

Abstract: This application provides a mapping relationship updating method, applied to deterministic networking. The method includes: A first device sequentially obtains a first packet and a second packet that are sent by a second device; the first device determines a first time difference between a time at which the first packet is received and a time at which the second packet is received; and if the first device determines that the first time difference is not within a preset range, the first device updates a period-based mapping relationship.

Abstract: This application discloses a link-state advertisement LSA sending method, an apparatus, and a system, to reduce a quantity of LSA sending times. The method includes: generating, by a first router, a first path table based on level location information of the first router, level location information of a second router, and level location information of at least one third router; sending, by the first router, a first link state update LSU message to the second router; receiving, by the second router, the first link state update LSU message from the first router; updating, by the second router, a link state database LSDB of the second router based on a first LSA; and sending, by the second router, the first LSA to a router corresponding to an identifier in the first path table.

Abstract: The present embodiments relate to systems and methods for automatic sign in upon account signup. Particularly, the present embodiments can utilize a federated login approach for automatic sign in upon account signup for a cloud infrastructure. Specifically, the signup and sign in service (also known as SOUP) and an identity provider portal can be configured such that the nodes are aware of each other as Security Assertion Markup Language (SAML) partners. After new account registration, the signup service can redirect the user browser to a cloud infrastructure console to start with a federated login flow, where a sign in service can issue a SAML authentication request, and redirects it to signup service. Responsive to validating the browser using a SAML authentication process, the browser can be automatically signed into the new account and allowed access the account relating to the cloud infrastructure service.

Abstract: A tool for providing vehicle perception system metrics associated with objects that are relevant to the vehicle is discussed herein. The tool may be configured with criteria for relevance. The criteria may include a region of interest proximate the vehicle, an object classification, an object characteristic and/or a sensor type. The tool may receive sensor data captured by a sensor of the vehicle and may be configured to identify relevant objects based on the criteria. The tool may filter and/or determine perception system metrics associated with the relevant objects. In some examples, the tool may identify the relevant objects and may cause the vehicle to be controlled based on the determination of object relevance.

Abstract: This application provides a multicast service implementation method and apparatus. The method includes: receiving, by a first network device, a first unicast join message sent by a second network device, where the first unicast join message is used to request to join a multicast group, a source address of the first unicast join message is an address of the second network device, and a destination address of the first unicast join message is a multicast source address or a rendezvous point (RP) address; and establishing, by the first network device, a tunnel from the first network device to the second network device based on the first unicast join message. The multicast service implementation method and apparatus in embodiments of this application help improve availability of a multicast service.

Abstract: Techniques for determining a safety area for a vehicle are discussed herein. In some cases, a first safety area can be based on a vehicle travelling through an environment and a second safety area can be based on a steering control or a velocity of the vehicle. A width of the safety areas can be updated based on a position of a bounding box associated with the vehicle. The position can be based on the vehicle traversing along a trajectory. Sensor data can be filtered based on the sensor data falling within the safety area(s).

Abstract: Techniques for clustering sensor data are discussed herein. Sensors of a vehicle may detect data points in an environment. Clustering techniques can be used in a vehicle safety system to determine connection information between the data points. The connection information can be used by a vehicle computing device that employs clustering and/or segmenting techniques to detect objects in an environment and/or to control operation of a vehicle.

Abstract: Methods, systems, and computer storage media for providing identification of secrets as one-way secrets in a computing environment. In particular, a secret isolation manager of an access management in the computing environment can identify an entity as an owner of secrets in a secret storage structure. In operation, the secret isolation manager, can receive a request, associated with a requesting entity, to access a secret associated with an approving entity. The request can be for an application of the requesting entity to access a secret of the approving entity. The secret isolation manager accesses the secret storage structure that stores affinity identifiers, where an affinity identifier indicates that the requesting entity has a one-way affinity with the approving entity that owns the secret. The one-way affinity operates to allow the approving entity to share the secret with the requesting entity, so the requesting entity is granted access to the secret.

Abstract: Techniques are discussed for determining reflected returns in radar sensor data. In some instances, pairs of radar returns may be compared to one another. For example, a reflection point may be determined from a first position of a first radar return and a second position of a second radar return. Additional data, e.g., sensor data and/or map data, may be used to determine the presence of objects in the environment. The first return or the second return may be a reflected return if an object is disposed at the reflection point. In some instances, a vehicle, such as an autonomous vehicle, may be controlled at the exclusion of information from reflected returns.

Abstract: Classifying sensor data as being associated with ground (as opposed to an object) may comprise determining a number of channels of sensor data that have returns in them, setting a number of control points and a number of knots of a curve based at least in part on the number of channels that have returns, and fitting a curve having the number of control points and the number of knots to the sensor data. The curve may be used to distinguish sensor data associated with the ground from sensor data associated with an object. Determining the curve may additionally or alternatively include limiting an elevation value of a control point and/or knot based on elevation value(s) of the sensor data, weighting the sensor data based at least in part on elevation values associated with the sensor data, and/or adjusting knot spacing, et alia.

Abstract: Techniques are discussed for generating a spatial grid based on radar sensor data. The spatial grid may include cells, which may be designated as being occupied, occluded, and/or free space. A cell may be designated as being occupied if radar sensor data is associated with a region of an environment associated with the cell. A field may be designated as being occluded if a region of the environment associated with the cell is obstructed, relative to a radar sensor, by a cell that is designated as being occupied. In some instances, objects may be detected and/or tracked in occluded regions. A cell may be designated as being free space if a region associated with the cell is within a field of view of a radar sensor and is unoccupied and un-occluded. In some instances, the spatial grid may be used to control a vehicle, such as an autonomous vehicle, in the environment.

Abstract: This application provides a data processing method and a device. In embodiments, a data processing method applied to a network device may include: receiving a first data packet, where the first data packet includes a source IP address and a first verification code; obtaining a first key; generating a second verification code based on the source IP address and the first key; and if the second verification code is the same as the first verification code, determining that the first data packet is valid.

Abstract: The present disclosure provides a light state data processing method, including: during monitoring light state data of a traffic light, if a light cap controlling time represented by current actual light state data and a light cap controlling time represented by first estimated light state data corresponding to the current actual light state data are different, adjusting the first estimated light state data according to the current actual light state data to obtain second estimated light state data, where a light cap controlling time represented by the second estimated light state data is the same as the light cap controlling time represented by the current actual light state data; and in response to determining that the current actual light state data does not satisfy a preset light state data requirement, generating and outputting first light state information based on the second estimated light state data.

Abstract: A data processing method includes an authenticated identifier and a key corresponding to the authenticated identifier are allocated to a terminal that accesses a service supported by an application server. The terminal includes the authenticated identifier and a verification code in a sent data packet such that a network device can identify a legal data packet and an illegal data packet based on the authenticated identifier and the verification code, and forward the legal data packet.

Abstract: Navigation systems can identify objects in an environment and generate representations of those objects. A representation of an articulated vehicle can include two segments rotated relative to each other about a pivot, with a first segment corresponding to a first portion of the articulated vehicle and the second segment corresponding to a second portion of the articulated vehicle. The articulated object can be tracked in the environment by generating estimated updated states of the articulated agent based on previous states and/or measured states of the object using differing motion model updates for the differing portions. The estimated updated states may be determined using one or more filtering algorithms, which may be constrained using pseudo-observables.

Abstract: A packet transmission method and apparatus, and a system. The method includes: after receiving a first packet, a first device determines, based on a condition met by a first number carried in the first packet, a manner of sending the first packet. When the first number of the first packet meets a first condition, a second device determines a second cycle label corresponding to a first cycle label and sends the first packet to a third device in a cycle corresponding to the second cycle label. When the first number of the first packet meets a second condition, the second device determines a third cycle label corresponding to the first cycle label and sends the first packet to the third device in a cycle corresponding to the third cycle label.