Mobile wireless terminals, such as vehicles in traffic, can determine the relative positions of other vehicles with improved precision by arranging to acquire GNSS (global navigational satellite system) signals simultaneously, and then analyzing the various data sets differentially. Simultaneous acquisition can cancel many important errors such as motional errors of the vehicles, atmospheric distortions, and satellite timebase errors. Differential analysis to determine the relative positions of vehicles (as opposed to their overall geographical coordinates) can reduce errors related to satellite ephemeris and velocity, as well as roundoff errors. Localization with a precision of less than 1 meter can greatly improve collision avoidance while discriminating near-miss scenarios from imminent collisions, according to some embodiments. Messaging examples, in 5G and 6G, to manage the simultaneous acquisition and differential analysis, are provided in examples. Many other aspects are disclosed.

This presentation provides methods to track pedestrians heading angle using smart phone data. Tracking heading angle especially at or from stationary position is key for pedestrian safety, e.g., for smart cross system and pedestrian collision mitigation system. It provides pedestrian-to-vehicle (P2V) platform. It deploys smart phones or mobile devices, equipped with DSRC (Dedicated short range communication) support, to act as beacons for pedestrians: Phone can alert driver to pedestrian presence in path; Pedestrian Basic Safety Message (BSM) can aid awareness for vehicles; It can be used for bicycles, as well. It also provides pedestrian-to-infrastructure (P2I) platform. Smart phone, through DSRC/cellular, transmits pedestrian presence to crosswalks/signals: It enables advanced crosswalk lighting/warning scheme; It enables bundling of pedestrian presence to vehicles. In this presentation, we provide various examples and variations on these.

Embodiments of the present disclosure provide a collaborative positioning method and a wireless terminal, includes: generating, by a wireless terminal, positioning request information, where the positioning request information includes a positioning precision parameter; selecting a wireless communications technology according to the positioning precision parameter, where the selected wireless communications technology is a communications manner used by the wireless terminal to perform collaborative positioning; obtaining, by using the selected wireless communications technology, first collaborative positioning information sent by a neighboring terminal, where the first collaborative positioning information includes location information of the neighboring terminal; and calculating, by the wireless terminal, a current location of the wireless terminal according to the location information of the neighboring terminal. The embodiments of the present disclosure resolve a problem that a requirement on hardware of two collaboration parties is relatively strict.

Disclosed are methods, systems, and non-transitory computer-readable medium for vehicle navigation processing. For instance, the method may include scanning for one or more terminals within a predetermined vicinity of the vehicle via a low latency communication network and receiving positional data of the one or more terminals via the low latency communication network. The method may further include receiving directional data of the one or more terminals relative to the vehicle, determining a first location of the vehicle relative to the one or more terminals based on the directional data, and determining a second location of the vehicle relative to the environment based on the positional data and the first location.

The disclosure relates to enhancing performance at a device that implements a stand-alone global navigation satellite system (GNSS) receiver. In particular, a GNSS-enabled mobile device may obtain positioning data from one or more non-satellite sources and determine satellite signal quality in a surrounding environment. As such, in response to determining that the environment surrounding the GNSS-enabled mobile device is a weak satellite signal environment, the GNSS-enabled mobile device may trigger a process to provide the positioning data obtained from the one or more non-satellite sources to the device that implements the stand-alone GNSS receiver such that performance at the device that implements the stand-alone GNSS receiver may be enhanced in poor satellite signal environments.

Disclosed are an emergency vehicle supporting device and system using a drone that resolve forward traffic congestion on a road on which an emergency vehicle is driving via the drone and supports securing of a driving path for the emergency vehicle. According to the present invention, an emergency vehicle supporting device mounted on the emergency vehicle generates drone control information and transmits the generated drone control information to the drone. Further, the drone flies according to the drone control information and a location change of the emergency vehicle and broadcasts an avoidance warning to surrounding vehicles around the flying drone, so that the surrounding vehicles may help the emergency vehicle secure a driving path and thus the emergency vehicle may arrive at a destination within a desired time.

Aspects of the subject disclosure may include, for example, obtaining a location of a first mobile tag, responsive to detecting a second mobile tag crossing a threshold relative to the location of the first mobile tag, determining according to an activity associated with the first mobile tag, the second mobile tag, or both whether there is an association event between the first mobile tag and the second mobile tag, and responsive to determining the activity corresponds to the association event, determining whether to associate the first mobile tag and the second mobile tag. Other embodiments are disclosed.

Systems and methods for distributed cooperative localization in a connected vehicular platform are disclosed herein. At a first sensor-rich vehicle, one embodiment receives, from a second sensor-rich vehicle via direct vehicle-to-vehicle (V2V) communication, an estimated location of the first sensor-rich vehicle and an associated confidence level; estimates a location of the second sensor-rich vehicle based on first sensor data and assigns a confidence level to the estimated location; transmits to the second sensor-rich vehicle via direct V2V communication, the estimated location of the second sensor-rich vehicle and the assigned confidence level; accepts, based on communication between the first and second sensor-rich vehicles and predetermined acceptance criteria, an assignment to perform localization for a legacy vehicle; estimates a location of the legacy vehicle based on second sensor data; and transmits, to the legacy vehicle, the estimated location of the legacy vehicle.

Methods, devices and systems for generating enhanced location information on or about a wireless device. A fixed wireless device (e.g., fixed infrastructure device) may be configured to determine its current location based on location information received from one or more other devices. For example, the fixed wireless device may determine its current three-dimensional location based on latitude coordinate values, longitude coordinate values, and altitude coordinate values received from a plurality of the devices that are in proximity to the fixed wireless device. The fixed wireless device may then dynamically determine whether the fixed wireless device should be included in a telecommunication resource lease based on its determined current location. The fixed wireless device may allocate its available radio frequency resources use by devices that subscribe to a different network in response to determining that it should be included in the telecommunication resource lease.

A method for aligning coordinate systems includes: in response to that a second terminal triggers alignment of the coordinate systems, obtaining, by the second terminal, map information stored in a cloud or obtaining, by the second terminal, the map information from a first terminal; and transforming, by the second terminal, a second coordinate system of the second terminal into an initial coordinate system corresponding to the map information stored in the cloud or obtained from the first terminal, or transforming, by the second terminal, the initial coordinate system corresponding to the map information stored in the cloud or obtained from the first terminal into the second coordinate system of the second terminal; herein the initial coordinate system is used for defining a positional relationship between the first terminal and the second terminal when the map information is in a sharing state.