Abstract: In an embodiment, a method comprises detecting, at a processor of an autonomous vehicle, a discrepancy between a map and a property sensed by at least one sensor onboard the autonomous vehicle, the property being associated with an external environment of the autonomous vehicle. In response to detecting the discrepancy, and based on the discrepancy, an annotation for the map is generated via the processor. A signal representing the annotation is caused to be transmit to a compute device that is remote from the autonomous vehicle. A signal representing a map update is received from the compute device that is remote form the autonomous vehicle. The map update is generated based on the annotation, the map update (1) including replacement information for a region of the map associated with the annotation, and (2) not including replacement information for a remainder of the map.

Abstract: The present disclosure provides systems and methods for automatically detecting third-party re-identification of anonymized computing devices.

Abstract: Using risk metrics to facilitate transactions is described. A payment service computing platform may, in association with a request to initiate an interaction with a merchant, determine a user risk metric associated with a user of a payment service. The platform may determine, based on transaction data associated with merchants, merchant risk metrics associated with the merchants, filter the merchants based on the user risk metric and the merchant risk metrics to generate a list of merchants, and cause a user interface of a payment application associated with the payment service and executing on a device of the user to present at least a portion of the list of merchants. The platform may then receive indications of a selected merchant and an item(s) to be purchased from the selected merchant, use a single-use payment instrument to complete a transaction for the item(s), and generate a loan associated with the transaction.

Abstract: In an embodiment, a method comprises detecting, at a processor of an autonomous vehicle, a discrepancy between a map and a property sensed by at least one sensor onboard the autonomous vehicle, the property being associated with an external environment of the autonomous vehicle. In response to detecting the discrepancy, and based on the discrepancy, an annotation for the map is generated via the processor. A signal representing the annotation is caused to be transmit to a compute device that is remote from the autonomous vehicle. A signal representing a map update is received from the compute device that is remote form the autonomous vehicle. The map update is generated based on the annotation, the map update (1) including replacement information for a region of the map associated with the annotation, and (2) not including replacement information for a remainder of the map.

Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining lane detection data and object detection data associated with an environment; determining a lane template based on the lane detection data; and generating localization data that identifies a location of an object in the environment based on the lane template and the object detection data.

Abstract: Using transaction data to present search results is described. A payment service computing platform may receive transaction data associated with users of a payment service, and may receive a search query from a payment application associated with the payment service and executing on a device of a user. The payment service computing platform may then determine, based at least in part on a portion of the transaction data associated with the user, a user risk metric associated with the user, may generate a list of entities based at least in part on the user risk metric, and may cause a user interface of the payment application to present at least a portion of the list of entities as a search result to the search query.

Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining lane detection data and object detection data associated with an environment; determining a lane template based on the lane detection data; and generating localization data that identifies a location of an object in the environment based on the lane template and the object detection data.

Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining lane detection data and object detection data associated with an environment; determining a lane template based on the lane detection data; and generating localization data that identifies a location of an object in the environment based on the lane template and the object detection data.

Abstract: Using transaction data to present search results is described. A payment service computing platform may receive transaction data associated with users of a payment service, and may receive a search query from a payment application associated with the payment service and executing on a device of a user. The payment service computing platform may then determine, based at least in part on a portion of the transaction data associated with the user, a user risk metric associated with the user, may generate a list of entities based at least in part on the user risk metric, and may cause a user interface of the payment application to present at least a portion of the list of entities as a search result to the search query.

Abstract: Embodiments provide improved techniques for identifying object and vehicle locations on an HD map using camera images. Synthetic data may be generated by populating a high-definition (HD) map with an object. The populated HD map can be projected to a two-dimensional camera view image depicting the object. The HD map and object detection data generated from image (e.g., identifying lane/object locations within the image) can be used to train the model to identify HD map locations of an autonomous vehicle capturing images as it travels, as well as various objects detected from those captured images. Subsequently, a new image may be processed using object detection techniques to detect lane/object locations within the image. An HD map and the detected lane/object data may be provided to the model, which in turn identifies, on the HD map, the locations of the vehicle and the various objects.

Abstract: The present disclosure provides systems and methods for automatically detecting third-party re-identification of anonymized computing devices.

Abstract: Using transaction data to rank search results is described. A payment service computing platform may receive transaction data associated with users of a payment service, and may receive a search query from a payment application associated with the payment service and executing on a device of a user. The payment service computing platform may then generate a list of entities based at least in part on a likelihood, determined using a portion of the transaction data associated with the entities, that the user will be able to successfully complete a transaction in association with the entities, and may cause a user interface of the payment application to present at least a portion of the list of entities as a search result to the search query.

Abstract: In an embodiment, a method comprises detecting, at a processor of an autonomous vehicle, a discrepancy between a map and a property sensed by at least one sensor onboard the autonomous vehicle, the property being associated with an external environment of the autonomous vehicle. In response to detecting the discrepancy, and based on the discrepancy, an annotation for the map is generated via the processor. A signal representing the annotation is caused to be transmit to a compute device that is remote from the autonomous vehicle. A signal representing a map update is received from the compute device that is remote form the autonomous vehicle. The map update is generated based on the annotation, the map update (1) including replacement information for a region of the map associated with the annotation, and (2) not including replacement information for a remainder of the map.

Abstract: The present disclosure provides systems and methods for automatically detecting third-party re-identification of anonymized computing devices.

Abstract: An electrode wire includes a brass core, a Cu—Zn alloy layer coated on the brass core, and a surface layer. The surface layer includes CuO, ZnO, Cu2(OH)2CO3, and a Cu—Zn intermetallic compound. The surface layer is in the shape of particles or sheets spaced apart on the Cu—Zn alloy layer; and the Cu—Zn alloy layer is exposed with respect to spaces between the particles or sheets.

Abstract: Systems, methods, and non-transitory computer readable media can perform operations comprising generating a first type of pose and a second type of pose based on visual geometry localization; determining a mode for planning a planning path for a vehicle based on at least one of the first type of pose and the second type of pose; and generating the planning path for the vehicle based on the mode.

Abstract: Systems, methods, and non-transitory computer-readable media can perform operations comprising determining visual geometry detections (e.g., lane line detections) associated with geometry corresponding with a map; aligning the visual geometry detections with the geometry based on transformations associated with selected degrees of freedom; and determining a pose of a vehicle based on alignment of the visual geometry detections with the geometry.

Abstract: In an embodiment, a method comprises detecting, at a processor of an autonomous vehicle, a discrepancy between a map and a property sensed by at least one sensor onboard the autonomous vehicle, the property being associated with an external environment of the autonomous vehicle. In response to detecting the discrepancy, and based on the discrepancy, an annotation for the map is generated via the processor. A signal representing the annotation is caused to be transmit to a compute device that is remote from the autonomous vehicle. A signal representing a map update is received from the compute device that is remote form the autonomous vehicle. The map update is generated based on the annotation, the map update (1) including replacement information for a region of the map associated with the annotation, and (2) not including replacement information for a remainder of the map.

Abstract: A wire electrode for wirecut electrical discharge machining (WEDM) having a carbonaceous surface layer is disclosed. The wire electrode can include a core material, an outermost carbonization layer, and a phase transition layer between the core material and the carbonization layer.

Abstract: The present disclosure provides systems and methods for automatically detecting third-party re-identification of anonymized computing devices.