Provided herein are methods and systems for generating a model, mapping a monitored space, and used for augmenting the location and paths of devices path in the monitored space, using orientation and obstruction analysis. The disclosure comprises moving a device having a camera and one or more wireless transceiver through the monitored space, exchanging signal transmissions with one or more wireless transceivers present in the monitored space, and taking images, video sequences, or other optical readings. Either the mobile wireless device, the wireless transceivers, or both may have a non-isotropic transmission and reception characteristics, due to antenna structure, occlusions, other objects with radiation impact and/or the like. The images, videos, and/or optical readings, in addition to the received signal characteristics are stored and processed to generate the model, which one or more verification units, configured to verify the location objects or devices in the monitored space, may use.

Certain aspects of the present disclosure provide techniques for machine learning using basis decomposition, comprising receiving a first runtime record, where the first runtime record includes RF signal data collected in a physical space; processing the first runtime record using a plurality of basis machine learning (ML) models to generate a plurality of inferences; aggregating the plurality of inferences to generate a prediction comprising a plurality of coordinates; and outputting the prediction, where the plurality of coordinates indicate a location of a physical element in a physical space.

Certain aspects of the present disclosure provide techniques for improving positioning accuracy of user equipments (UEs) using non line-of-sight (NLOS) positioning reference signals (PRS) and map information. A method that may be performed by a UE includes obtaining map information regarding, at least, one or more reflectors in an environment including at least the UE and another node, detecting at least one positioning reference signal (PRS) transmission that travels one or more non line-of-sight (NLOS) transmission paths in the environment, and participating in a positioning procedure that estimates a position of the UE based, at least in part, on the at least one PRS transmission that travels the one or more NLOS transmission paths and the map information.

An example system can include a first antenna having a first orientation, a second antenna having a second orientation and a control system communicating with the first antenna and the second antenna. The control system performs operations which can include determining a pathway of a satellite, comparing the pathway to a first radiation pattern of the first antenna and a second radiation pattern of the second antenna, wherein the first antenna and the second antenna are each positioned such that a first keyhole of the first antenna does not overlap a second keyhole of the second antenna, to yield a comparison and selecting, based on the comparison, one of the first antenna or the second antenna to communicate with the satellite along the pathway.

Systems and methods of using satellite signal strength to determine indoor/outdoor transition points for places are disclosed herein. In some example embodiments, a computer system accesses service data and sensor data for a plurality of requests for a transportation service associated with a place, with the service data comprising pick-up data indicating a pick-up location and drop-off data indicating a drop-off location, and the sensor data comprising satellite signals indicating a pick-up path or a drop-off path, with the satellite signals each having a corresponding signal strength. The computer system determines a transition geographic location for the place based on the signal strengths of the satellite signals.

The present application relates to correction of position data used in a position information collection system, in which measurement points correspond to position data of a mobile body at respective time points and a movement path of the mobile body connects the measurement points in a time series. When the position data produces a movement path of the mobile body which passes through a not-enterable area, the position data is corrected such that the movement path of the mobile body circumvents the not-enterable area without reducing positioning accuracy, by performing position correction operations which include: determining a crossing status with regard to how the movement path crosses the not-enterable area; counting a number of the measurement points within the not-enterable area; and correcting the position data such that the movement path circumvents the not-enterable area.

A tire mounting position detection system measures a first signal strength which is the strength of a radio signal received by a first receiver (R1) for each transmitter, measures a second signal strength which is the strength of the radio signal received by a second receiver (R2) for each transmitter, and calculates an strength ratio which is a ratio using the first signal strength and the second signal strength for each transmitter. The tire mounting position detection system detects a wheel position where a tire equipped with a transmitter is mounted on the basis of the first signal strength, the second signal strength and a strength ratio for each transmitter.

In one embodiment, a service obtains spatial information regarding a physical area. The service estimates locations of a device within the physical area over time, based on wireless signals sent by the device. The service generates a set of images based on the spatial information regarding the physical area and on the estimated locations of the device within the physical area over time. The service updates an estimated location of the device by inputting the generated set of images to a machine learning model trained to minimize a location estimation error.

A vehicle infrastructure cooperative positioning method and apparatus, an electronic device, a storage medium, and an autonomous vehicle are provided, which are related to fields of autonomous driving, intelligent transportation, and vehicle infrastructure cooperation. An implementation includes: receiving broadcast information sent by a road side unit, the broadcast information comprising sending time, a height of the road side unit and location information of the road side unit; calculating a horizontal distance between a vehicle and the road side unit according to receiving time and the sending time of the broadcast information and the height of the road side unit; and matching the horizontal distance between the vehicle and the road side unit and the location information of the road side unit with map information to obtain location information of the vehicle.

A system identifies a first position of a tag in a clinical environment based on first times at which first receivers received a first wireless signal from the tag. The system estimates a second position of the tag in the clinical environment based on second times at which second receivers received a second wireless signal from the tag. The system determines that a boundary is located between the first position and the second position, defines a path range around the first position of the tag based on an expected movement of the tag during a time interval between the first and second wireless signals, determines that the boundary lacks a door within the path range, adjusts the second position of the tag based on the boundary map, and transmits a message indicating that the tag is located at the adjusted position at the second time.