Patent classifications
G01S19/396
CELLULAR POSITIONING BASED VERIFICATION OF AN ESTIMATED VEHICLE POSITION
A method in a vehicle for verifying an estimated position of the vehicle, the method comprising establishing a wireless link to a radio base station, RBS, 150, obtaining data from a downlink transmission on the wireless link (145) from the RBS (150) to the vehicle (100) for estimating the vehicle position, estimating the vehicle position based on the data, transmitting a request for position verification to the RBS (150), receiving a response from the RBS (150) to the transmitted request comprising a verification position estimate based at least partly on data obtained from an uplink transmission on the wireless link (145) to the RBS (150) from the vehicle (100), and verifying the estimated position of the vehicle (100) by comparing the estimated vehicle position to the verification position estimate.
Mobile signal based building footprints
Recent decades have brought tremendous advances in communication systems which have given rise to the global proliferation of smartphones and other mobile communication systems. A signal processing system implements technical solutions for determining building footprints from inputs including signal data associated with mobile communication devices.
ENHANCED MESSAGING TO HANDLE SPS SPOOFING
Techniques are discussed herein for transmission of location information by a user equipment (UE) to other UEs. A UE receives Satellite Positioning System (SPS) signals and determines whether the SPS signals are reliable. The UE determines a location estimate to be transmitted to other UEs using the SPS signals if the SPS signals are determined to be reliable and using non-SPS information if the SPS signals are determined to be not reliable. The location information is transmitted to other UEs in a message that includes an indication of the source of information used to generate the location estimate. A UE that receives the message may determine its location estimate based, at least in part, on the indication of the source of information, e.g., by determining whether SPS signals are reliable based, at least in part, on the indication of the source of information received in the message.
POSITIONING WHEN SPS INFORMATION IS SPOOFED
Techniques are discussed herein for detecting anomalous signals such as spoofed satellite positioning system (SPS) signals and for the transmission of accurate location estimates between user equipments (UEs) when the SPS signals are not reliable. A UE determines an SPS derived location estimate and determines an associated confidence level. The confidence level is determined based on time or location derived from the SPS signals, e.g., relative to local time or non-SPS information, such as stored previous location estimates, non-SPS sensor information, and location information from other UEs. The UE transmits location information to other UEs that includes a selected location estimate, confidence level, and the source of the location estimate, e.g., where the SPS derived location estimate is selected if the confidence level is high and the non-SPS derived location estimate is selected if the confidence level is low.
Systems and Methods for Verifying a Device Location
A method of verifying a device location includes receiving a provisional location for a first device, setting a baseline location confidence value for the provisional location, determining a first network environment of the first device, and receiving one or more location reports each including a location for another device in the first network environment. For each received location report, the location in the location report is compared with the provisional location of the first device and a distance is calculated; and an adjustment to the location confidence value of the first device is calculated based on the calculated distance. An output location confidence value is generated for the provisional location of the first device based on the baseline location confidence value and the adjustment calculated for each received location report.
METHOD FOR PROCESSING GPS POSITION SIGNALS IN A VEHICLE
A method for processing GPS position signals in a vehicle is proposed, wherein the GPS position signals of the vehicle are received successively at a predefined time interval and are processed in order to control the vehicle, and wherein at least one intermediate position value of the vehicle is determined within the time period formed by the time interval between two successive GPS position signals. Furthermore, a control device is proposed for carrying out the method.
SYSTEMS AND METHODS FOR ROUTE RECONSTRUCTION
A systems and methods for ridesharing are provided. The systems and method can include splitting a plurality of GPS locations for a given vehicle into segments, determining a most probable location for each GPS location, and reconstructing the route, for a fleet of ridesharing vehicles.
Signal generation system as well as method of signal generation
A signal generation system for signal simulation includes at least one data input, a pulse description word generator, a multi-frequency signal generator, and at least one radio frequency output. The multi-frequency signal generator is configured to simulate a multi-frequency global navigation satellite system signal. The pulse description word generator and the multi-frequency signal generator are assigned to the data input in order to process data received via the data input. The pulse description word generator and the multi-frequency signal generator are configured to generate an output signal based on at least one instruction for a certain generator behavior of the pulse description word generator and/or the multi-frequency signal generator. The at least one instruction is encompassed in the data received. Further, a method of signal generation is described.
System and method to determine positioning in a virtual coordinate system
A system includes a computing system configured to communicatively couple to a database configured to store a virtual coordinate system and a plurality of features associated with a representative environment associated with the virtual coordinate system. The computing system is configured to receive a first input indicative of a physical positioning of a user in a physical environment, determine a virtual positioning of the user in the virtual coordinate system based on the first input, receive a second input indicative of an updated physical positioning of the user in the physical environment, determine an updated virtual positioning of the user in the virtual coordinate system based on the second input, and output a first signal to a computing device in response to determining the updated virtual positioning of the user in the virtual coordinate system.
Systems and methods for utilizing a machine learning model to determine a determined location of a vehicle based on a combination of a geographical location and a visual positioning system location
A device may receive, from a vehicle device, a geographical (e.g., GNSS) location of a vehicle, and may utilize the GNSS location as a determined location of the vehicle when the GNSS location satisfies a first threshold. The device may receive, from the vehicle device, an image identifying reference points associated with the vehicle, and may process the image, with a VPS, to calculate a VPS location of the vehicle. The device may utilize the GNSS location of the vehicle as the determined location when the VPS location fails to satisfy a second threshold, and may calculate, when the VPS location of the vehicle satisfies the second threshold, coordinate sets based on groups of coordinate combinations from the GNSS location and the VPS location. The device may process the coordinate sets, with a model, to determine the determined location, and may perform actions based on the determined location.