Abstract: Systems, methods, and devices for radio frequency (RF) ranging-aided localization and crowdsourced mapping are provided. In one aspect, a method performed by a user equipment (UE) includes obtaining sensor data comprising first radio frequency (RF) ranging data and imaging data. The method further includes tagging the first RF ranging data with location information and semantic information, wherein the semantic information is based on the imaging data, and wherein the semantic information indicates a first portion of the RF ranging data is associated with a static object type and a second portion of the RF ranging data is associated with a temporary-static object type different from the static object type. The method further includes transmitting, to a RF ranging assistance server, the first RF ranging data tagged with the location information and the semantic information.

Abstract: Creating and updating an accurate radar map layer for HD map using crowdsourcing may comprise a vehicle obtaining radar data and filtering the radar data on a frame-by-frame basis. In some embodiments, additional filtering may be made on a batch of frames. The vehicle can then transmit the filtered radar data responsive to a determination that a confidence of a position estimate of the vehicle exceeds a conference threshold level and/or a determination that a reliance of the position estimate of the vehicle on the radar data exceeds a reliance threshold level.

Abstract: Crowdsourced radar map generation techniques are disclosed. The techniques can include collecting a set of localized observation data for a map region of a radar reference map, the set of localized observation data including respective data received from each of a plurality of vehicles, dividing the set of localized observation data for the map region into a first observation data subset and a second observation data subset, determining occupancy probability parameters for the map region based on the first observation data subset, validating the occupancy probability parameters based on the second observation data subset, and updating the radar reference map according to the occupancy probability parameters.

Abstract: Disclosed are systems and techniques for wireless communications. For example, a device can receive, from a first vehicle, a view request for a visual view of a region of interest (ROI). The device can transmit a request for key points and feature descriptors related to a view of the first vehicle and respective view(s) of the other vehicle(s), and can match the key points/feature descriptors related to the other vehicle(s) and the first vehicle. The device can determine, based on the matching, at least one vehicle to provide at least one ROI view of the ROI and determine at least one mapping between the at least one vehicle and the first vehicle, which can be used to combine the at least one ROI view of the at least one vehicle with the view of the first vehicle to generate a combined image having the visual view of the ROI.

Abstract: A method, system, or computer program product to enhance the performance of multi-hop cellular networks or other wireless networks is provided. A wireless device (e.g., cellular telephone) is able to communicate with a base-station in a cell of the cellular network over a non-cellular interface via another wireless device in the cell through the use of multi-hopping. By enabling wireless devices to communicate with a base station in such a manner, the effective coverage area of the cellular network is expanded and the effective capacity of the cellular network is improved. Distributed routing, device management, adaptive scheduling, and distributed algorithms can be used to enhance the overall performance of multi-hop cellular networks.

Abstract: Systems and methods involving various registration and authentication workflows are disclosed herein. A user may be authenticated without the use of static usernames or passwords. In some embodiments, an authentication identifier may be generated that is associated with an authentication request for a user to access a protected resource (e.g., a web app). An authentication code may be generated based on the authentication identifier. The authentication code may be sent to a computing device to be provided to the user, who may provide the authentication code to an application on their mobile device. The mobile device may send a payload containing the authentication identifier, credentials saved on the user device from a previous registration step, and a digital signature. The digital signature may be authenticated using contents of the payload before validating the authentication identifier.

Abstract: Techniques and systems are provided for vehicle localization. For instance, a process can include obtaining a point corresponding to a target in an environment, the point indicating a location of the target in the environment, and wherein the point is a non-semantic point for use with a non-semantic layer (NSL) of a map, obtaining pose information indicating a heading of a vehicle, generating a map point based on a quantization of the obtained point, and outputting the generated map point to a map server. For another instance, a process can include obtaining a NSL of a map of an environment, the NSL including a map point corresponding to a target in the environment, wherein the point is a non-semantic point; determining, based on a comparison between the pose information and the heading information, that the target is relevant to the vehicle; and transmitting the map point to the vehicle.

Abstract: Techniques and systems are provided for localization of an apparatus. For instance, a process can include: obtaining a map of an environment, the map including a map point representing an object in the environment; obtaining image data including the object in the environment, wherein the image data is associated with a camera pose; obtaining point information from the obtained image data, the obtained point information describing two or more points of the object in the obtained image data; determining whether to associate the point information with the map point based, at least in part, on a comparison of the map point and an estimated point, wherein the estimated point is estimated based on the camera pose and point information; and based on the determination to associate the point information with the map point, associating the point information with the map point to localize an apparatus.

Abstract: Aspects relate to techniques for estimating relative pose leveraging lane markers. A first wireless communication device may receive a message from a second wireless communication device including a plurality of visual features (e.g., keypoints) of an image captured by the second wireless communication device, lane features identifying two (or more) traffic lane markers, and respective two-point two-line (2L2P) metrics for pairs of keypoints based on the traffic lane markers. The first wireless communication device may then obtain additional features from an additional image captured by the first wireless communication device and identify matching keypoints of the additional features for which the respective 2L2P metrics are satisfied. The first wireless communication device may then calculate a relative pose of the first wireless communication device with respect to the second wireless communication device based on the matching features.

Abstract: Techniques provided herein are directed toward virtually extending an updated set of output positions of a mobile device determined by a VIO by combining a current set of VIO output positions with one or more previous sets of VIO output positions in such a way that ensure all outputs positions among the various combined sets of output positions are consistent. The combined sets can be used for accurate position determination of the mobile device. Moreover, the position determination further may be based on GNSS measurements.

Abstract: A user equipment (UE) in a vehicle (V-UE) broadcasts multi-phased ranging signals with which other entities may determine the range to the V-UE. The multi-phased ranging signals may include a first message, which may be broadcast in the Intelligent Transport System (ITS) spectrum, includes ranging information, such as a source identifier, location information for the broadcasting V-UE, and an expected time of broadcast of the ranging signal. The ranging signal may then be broadcast at the expected time and may include the source identifier. A second message, which be broadcast in the ITS spectrum, may include clock error information for the V-UE. A receiving entity may determine the range to the V-UE based on the time of arrival of the ranging signal and the expected time of transmission, as well as the clock error information. The receiving entity may further generate a position estimate based on the received location information.

Abstract: Disclosed are techniques for wireless communication. In particular, aspects relate to configuring, triggering and/or transmitting relative and global position-orientation messages (e.g., from a vehicle equipped with sensors to enable estimation of relative and global position-orientation to a network entity).

Abstract: Systems and techniques are described for processing one or more maps. For example, a method can include obtaining a first map of an environment in which the computing device is located and obtaining a second map of the environment based on sensor data from one or more sensors. The method can include comparing first one or more elements of the first map and second one or more elements of the second map. Each respective element of the first one or more elements corresponds to a respective element of the second one or more elements. The method can further include determining whether to use the first map or the second map for at least one navigation function based on comparing the first one or more elements of the first map with the second one or more elements of the second map.

Abstract: A wireless device may obtain, from a camera, an image with at least one captured object, which may include a plurality of dimensions. The image may include a 2D projection of the at least one captured object. The wireless device may calculate at least one dimension of the plurality of dimensions of the at least one captured object based on the 2D projection of the at least one captured object. The wireless device may estimate an inverse depth of the plurality of dimensions of the at least one captured object based on information associated with one or more properties of the camera or of at least one reference object associated with the at least one captured object. The wireless device may transmit an indication of the plurality of dimensions of the at least one captured object including the calculated at least one dimension and the estimated inverse depth.

Abstract: Creating and updating an accurate radar map layer for HD map using crowdsourcing may comprise a vehicle obtaining radar data and filtering the radar data on a frame-by-frame basis. In some embodiments, additional filtering may be made on a batch of frames. The vehicle can then transmit the filtered radar data responsive to a determination that a confidence of a position estimate of the vehicle exceeds a conference threshold level and/or a determination that a reliance of the position estimate of the vehicle on the radar data exceeds a reliance threshold level.

Abstract: In an embodiment, a user equipment (UE) receives, from a fixed reference node, at least one round-trip propagation time (RTT) ranging scheduling message indicating a set of downlink (DL) ranging resource assignments and a set of uplink (UL) ranging resource grants, receives one or more DL ranging signals from the fixed reference node on a first set of resources identified by the set of DL ranging resource assignments, and transmits one or more UL ranging signals to the fixed reference node on a second set of resources identified by the set of UL ranging resource grants.

Abstract: Systems, methods, and devices for radio frequency (RF) ranging-aided localization and crowdsourced mapping are provided. In one aspect, a method performed by a user equipment (UE) includes obtaining sensor data comprising first radio frequency (RF) ranging data and imaging data. The method further includes tagging the first RF ranging data with location information and semantic information, wherein the semantic information is based on the imaging data, and wherein the semantic information indicates a first portion of the RF ranging data is associated with a static object type and a second portion of the RF ranging data is associated with a temporary-static object type different from the static object type. The method further includes transmitting, to a RF ranging assistance server, the first RF ranging data tagged with the location information and the semantic information.

Abstract: Association algorithms of newly-detected lane boundaries to lane boundaries can be made more robust through the use of generated or “dummy” states. Different types of dummy states can be used to identify outlier/erroneous detections and/or new, legitimate lane boundaries. Therefore, depending on a type of dummy state a newly-detected lane boundary is associated with, the newly-detected lane boundary can be ignored, or the associated dummy state can be added to the lane boundary states of the filter.

Abstract: Techniques provided herein are directed toward virtually extending an updated set of output positions of a mobile device determined by a VIO by combining a current set of VIO output positions with one or more previous sets of VIO output positions in such a way that ensure all outputs positions among the various combined sets of output positions are consistent. The combined sets can be used for accurate position determination of the mobile device. Moreover, the position determination further may be based on GNSS measurements.

Abstract: Techniques provided herein are directed toward virtually extending an updated set of output positions of a mobile device determined by a VIO by combining a current set of VIO output positions with one or more previous sets of VIO output positions in such a way that ensure all outputs positions among the various combined sets of output positions are consistent. The combined sets can be used for accurate position determination of the mobile device. Moreover, the position determination further may be based on GNSS measurements.