An object recognition and positioning system that employs real-time location, a robotic total station, and a building information model in a single, transparent system that delivers object positioning, recognition, tracking, and operation.

According to one embodiment of the present invention, a method by which a first wireless device receives a reference signal for distance measurement in a wireless communication system can comprise the steps of: receiving, from a second wireless device, a first reference signal including a first sinusoidal signal having a first angular frequency and a second sinusoidal signal having a second angular frequency; performing fast Fourier transform (FFT) on the first reference signal; acquiring a phase difference between the first sinusoidal signal and the second sinusoidal signal on the basis of the FFT result; and transmitting, to the second wireless device, a second reference signal for the distance measurement and a third reference signal indicating information on the phase difference. The first wireless device is capable of communicating with at least one of another wireless device, a wireless device related to an autonomous driving vehicle, a base station or a network.

Locating a vehicle to be located (V.sub.P), which has at least a GNSS receiver, via a location system including at least a computer by: receiving a message that includes at least a GNSS signal and that is transmitted by the vehicle to be located (V.sub.P), receiving a message that is transmitted by at least one located vehicle (V.sub.L), which has a GNSS receiver, the message including a location of the vehicle, the location being associated with a high confidence level, and a GNSS signal generated by the GNSS receiver of the vehicle, determining a location of the vehicle to be located, on the basis of the location of at least one located vehicle (V.sub.L), the GNSS signal from the located vehicle, and the GNSS signal from the vehicle to be located, and transmitting the determined location to the vehicle to be located (V.sub.P).

A system and method for mapping, tracking, positioning, and navigating in GPS-denied or GPS-inaccurate areas features accurate and automatic generation and update of a pedestrian lane map based on crowd-sourcing unique path features (UPFs) in combination with associated path estimates from a plurality of mobile devices. Searching and matching newly generated UPFs and associated path estimates, to a pedestrian lane map with known UPFs and associated lanes (or lane estimates) provides simultaneous localization and mapping (SLAM) of mobile devices in GPS-denied or GPS-inaccurate areas, including indoors, underground; dense urban streets with high buildings, natural canyons, and similar environments. UPFs are robust to noise and orientation invariant, enabling operation on low cost mobile device sensors and handling of real life human behavior. The innovative UPFs and pedestrian lane map enable route finding, generating guiding instructions, tracking, and analysis of pedestrian traffic.

On-board equipment in a motor vehicle includes a C-V2X communication device receiving a first signal from road side equipment having a known position. The C-V2X communication device transmits a second signal having content that is dependent upon a length of time in which the first signal traveled from the road side equipment to the C-V2X communication device. A GPS device is communicatively coupled to the C-V2X communication device and receives the second signal from the C-V2X communication device. The GPS device estimates a position of the vehicle. The estimating is dependent upon the second signal from the C-V2X communication device.

On-board equipment in a motor vehicle includes a C-V2X communication device receiving a first signal from road side equipment having a known position. The C-V2X communication device transmits a second signal having content that is dependent upon a length of time in which the first signal traveled from the road side equipment to the C-V2X communication device. A GPS device is communicatively coupled to the C-V2X communication device and receives the second signal from the C-V2X communication device. The GPS device estimates a position of the vehicle. The estimating is dependent upon the second signal from the C-V2X communication device.

A method and a device for tracking an item using a tracking device associated with the item are described. The method, executed in a processor of the tracking device, comprises identifying a location state of the tracking device as one of an indoor location and an outdoor location relative to an indoor facility, based on at least one of satellite based data and connectivity to an access point in the indoor facility. Upon identifying the location state as the indoor location, a wireless transceiver and one or more sensor devices may be activated. The sensor devices may include at least one of a wireless signal strength sensor, a wireless signal connectivity sensor, an inertial sensor, a magnetic field sensor, a barometric sensor, and an ambient light sensor. Further, indoor localization data gathered by the sensor devices may be provided for localization.

A method and a device for tracking an item using a tracking device associated with the item are described. The method, executed in a processor of the tracking device, comprises identifying a location state of the tracking device as one of an indoor location and an outdoor location relative to an indoor facility, based on at least one of satellite based data and connectivity to an access point in the indoor facility. Upon identifying the location state as the indoor location, a wireless transceiver and one or more sensor devices may be activated. The sensor devices may include at least one of a wireless signal strength sensor, a wireless signal connectivity sensor, an inertial sensor, a magnetic field sensor, a barometric sensor, and an ambient light sensor. Further, indoor localization data gathered by the sensor devices may be provided for localization.

Methods and devices for identifying a driver of a vehicle are provided. Embodiments collect vehicle and driving data using a mobile device of a user. The collected data may be used to estimate whether a user of the mobile device is a driver or a passenger in a vehicle. Data collected using the mobile device may be analyzed to determine when the user is engaging in distracted driving behavior.

A device comprising: a radio frequency (RF) coupler comprising input, output, and coupled ports; an antenna capable of receiving RF signals having a first characteristic and transmitting RF signals having a second characteristic, the antenna connected to the RF coupler to provide received RF signals to the input port of the RF coupler and transmit RF signals received at the input port via coupling to signals received at the coupled port; and signal transformation circuitry having an input connected to the output port of the RF coupler to receive RF signals provided by the antenna to the input port and an output connected to the coupled port, the signal transformation circuitry configured to transform first RF signals having the first characteristic received from the output port to second RF signals having the second characteristic and to provide them to the coupled port.