A method and a system for vehicle-to-pedestrian collision avoidance system, the system comprising participants consisting of Long-Term Evolution (LTE)-capable user equipment (UE) terminals physically linked to at least one vehicle and at least one pedestrian; wherein a spatiotemporal positioning of the terminals is determined from Long Term Evolution (LTE) cellular radio signals mediated by Long-Term Evolution (LTE) cellular base stations (BS) and a Location Service Client (LCS) server including an embedded Artificial Intelligence algorithm comprising a Recurrent Neural Network (RNN) algorithm and analyzes the spatiotemporal positioning of the terminals and determines the likely future trajectory and communicates the likely future trajectory of the participants to the terminals physically linked to the pedestrian; the terminals physically linked to the pedestrian include an embedded Artificial Intelligence algorithm comprising a Conditional Random Fields (CRFs) algorithm to determine if the likely future trajectory of the pedestrian is below a vehicle-to-pedestrian proximity threshold limit and, if this condition is reached, communicates a collision-avoidance emergency signal to the at least one pedestrian and/or vehicle that meet the proximity threshold limit.

A system and method to verify that the driver or operator of a vehicle or piece of equipment has completed a 360-degree walk-around inspection of the vehicle/equipment. The vehicle/equipment will be equipped with an electronic beacon that detects the direction of the driver/operator via a mobile electronic device that the driver/operator carries. As the operator walks around the vehicle/equipment, the electronic beacon installed on the vehicle/equipment recognizes the location of the mobile electronic device as the driver/operator walks around the vehicle/equipment performing their inspection. In certain embodiments, the electronic beacon and mobile electronic device determine the operator's inspection are Angle of Arrival and Angle of Departure relative to each electronic beacon. The determination may require different combinations of transmitters and receivers. In another embodiment, multiple antennas, mounted on the vehicle/equipment and/or mobile electronic device, provide the location details of the driver/operator in correlation to the vehicle/equipment.

A system and method to verify that the driver or operator of a vehicle or piece of equipment has completed a 360-degree walk-around inspection of the vehicle/equipment. The vehicle/equipment will be equipped with an electronic beacon that detects the direction of the driver/operator via a mobile electronic device that the driver/operator carries. As the operator walks around the vehicle/equipment, the electronic beacon installed on the vehicle/equipment recognizes the location of the mobile electronic device as the driver/operator walks around the vehicle/equipment performing their inspection. In certain embodiments, the electronic beacon and mobile electronic device determine the operator's inspection are Angle of Arrival and Angle of Departure relative to each electronic beacon. The determination may require different combinations of transmitters and receivers. In another embodiment, multiple antennas, mounted on the vehicle/equipment and/or mobile electronic device, provide the location details of the driver/operator in correlation to the vehicle/equipment.

A method for positioning an autonomous moving device includes steps of: acquiring a current positioning signal of an autonomous moving device during a moving process, and a reference positioning signal of the autonomous moving device before the current positioning signal; resolving the reference positioning signal and the current positioning signal to acquire error data; and processing the error data and position information of the reference positioning signal to acquire current position information of the autonomous moving device.

A method for determining a robot position of an autonomous mobile green area maintenance robot on an area to be maintained includes the steps of: determining at least one robot position of the autonomous mobile green area maintenance robot by virtue of the green area maintenance robot receiving at least one global positioning signal from a global positioning system; determining a station position for at least one local positioning station on the basis of the at least one determined robot position and by interchanging at least one local positioning signal between the green area maintenance robot and the at least one positioning station; and determining a robot position of the green area maintenance robot on the area to be maintained on the basis of the at least one determined station position and by interchanging at least one local positioning signal between the green area maintenance robot and the at least one positioning station.

Provided is a terminal apparatus including: a receiver configured to detect a transmission direction of a signal used for communication with at least one base station apparatus; and a transmitter configured to transmit, to a location server, base station direction information for indicating the transmission direction detected.

Provided is a terminal apparatus including: a receiver configured to detect a transmission direction of a signal used for communication with at least one base station apparatus; and a transmitter configured to transmit, to a location server, base station direction information for indicating the transmission direction detected.

Methods and systems for wireless communication are provided. In one example, a method comprises: receiving, by a mobile device, a radio beam, the radio beam being a directional beam that propagates along an angle of departure with respect to an antenna that transmits the radio beam; identifying, by the mobile device, at least one of: the radio beam or a base station that operates the antenna; determining, by the mobile device, a position of the mobile device based on identifying at least one of the radio beam or the antenna of the base station; and outputting, by the mobile device, the position of the mobile device.

A fitness tracking system includes a receiver to obtain geolocation data. A method is used to determine the quality of the geolocation data by analyzing the dispersion of the geolocation coordinates during the user fitness activity. The geolocation data is used for calculating exercise metrics and displaying fitness activity when the geolocation data quality satisfies the data quality criteria.

A fitness tracking system includes a receiver to obtain geolocation data. A method is used to determine the quality of the geolocation data by analyzing the dispersion of the geolocation coordinates during the user fitness activity. The geolocation data is used for calculating exercise metrics and displaying fitness activity when the geolocation data quality satisfies the data quality criteria.