Lidar and bluetooth sensor fusion in generating location-based models of signal transmission in an indoor environment
AssigneeNagravision Sarl
InventorsAmine EL MLAHEG, Luca GRADASSI
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Abstract
The present disclosure is directed to methods for generating a radiofrequency map of an indoor location using LIDAR and Bluetooth sensor fusion. The methods can include fusion of received signal strength indicator (RSSI) data and location data received from devices in an indoor environment. A map of predicted RSSI data corresponding to locations in the indoor environment can be generated based on the fusion of the received data using an artificial intelligence model. The map of predicted RSSI data can then be used to determine the location of devices within the indoor environment.
Claims20
A method for generating a radiofrequency map, comprising:
- receiving, via processing circuitry, a set of received signal strength indicator (RSSI) data from a first device in an indoor environment based on signals received by the first device from one or more transmitters in the indoor environment;
- receiving, via the processing circuitry, sensor data from the first device in the indoor environment;
- determining, via the processing circuitry, location data of the first device in the indoor environment based on the sensor data;
- and
- generating, via the processing circuitry, a map of predicted RSSI data corresponding to locations in the indoor environment using an artificial intelligence model, the artificial intelligence model being trained on training data, the training data including the received set of RSSI data and the location data.
A device comprising:
- processing circuitry configured to
- receive a set of received signal strength indicator (RSSI) data from a first device in an indoor environment based on signals received by the first device from one or more transmitters in the indoor environment,
- receive sensor data from the first device in the indoor environment,
- determine location data of the first device in the indoor environment based on the sensor data, and
- generate a map of predicted RSSI data corresponding to locations in the indoor environment using an artificial intelligence model, the artificial intelligence model being trained on the received set of RSSI data and the location data.
A non-transitory computer-readable storage medium for storing computer-readable instructions that, when executed by a computer, cause the computer to perform a method, the method comprising:
- receiving a set of received signal strength indicator (RSSI) data from a first device in an indoor environment based on signals received by the first device from one or more transmitters in the indoor environment;
- receiving sensor data from the first device in the indoor environment;
- determining location data of the first device in the indoor environment based on the sensor data;
- and
- generating a map of predicted RSSI data corresponding to locations in the indoor environment using an artificial intelligence model, the artificial intelligence model being trained on training data, the training data including the received set of RSSI data and the location data.
Dependencies are inferred from the claim text.