US 11,238,067 B2 · Systems, methods and apparatus to cluster and classify individuals in groups

Abstract

The disclosure generally relates to autonomous or semi-autonomous driving vehicles. Specifically, an embodiment of the disclosure relates to occupancy detection algorithm to classify groups of individuals having a relationship to each other in certain environments, for example, inside a vehicle. In an exemplary embodiment, the disclosure provides an apparatus to associate one or more vehicles with one or more occupants, the apparatus including: a processing system to categorize data received from a plurality of external communication devices; a detector module configured to identify a first vehicle data and a first device data from categorized data; a proximity detector configured to communicate with the vehicle detector and the device detector; and a correlation engine to receive proximity estimate and to correlate the first device with a first occupant of the first vehicle.

Claims22

Dependent claims

An apparatus to associate one or more vehicles with one or more occupants of the vehicles from among a cluster of vehicles traveling simultaneously at a similar direction, the apparatus comprising:

a processing system to categorize data received from a plurality of external communication devices, wherein external devices comprise one or more vehicles and one or more smart devices associated with the one or more occupants of the vehicles;
a detector configured to identify a first vehicle data and a first device data from categorized data, the first vehicle data including one or more of location, direction and travel speed of a first vehicle, the first device data including one or more of location, direction and travel speed of a first device;
a proximity detector configured to communicate with the detector and the processing system, the proximity detector configured to estimate proximity between the first vehicle and the first device;
a correlation engine to receive proximity estimate and to correlate the first device with a first occupant of the first vehicle from among the one or more occupants of the first vehicle;
and
a profile library to store information correlating the first device, the first vehicle, vehicle data and device data.

3 more elements

At least one non-transitory machine-readable medium including instructions to correlate one or more occupants with one more respective vehicles from among a cluster of vehicles traveling simultaneously at a similar direction, which when executed, cause one or more processors to implement steps comprising:

categorize data received from a plurality of external communication devices, wherein external devices comprise one or more vehicles and one or more smart devices associated with the one or more occupants of the vehicles;
identify a first vehicle data and a first device data from categorized data, the first vehicle data including one or more of location, direction and travel speed of a first vehicle, the first device data including one or more of location, direction and travel speed of a first device;
communicate with the vehicle detector and the device detector and estimate a proximity distance between the first vehicle and the first device;
and
correlate the first device from among the one or more occupants of the first vehicle with a first occupant of the first vehicle.

2 more elements

Dependencies are inferred from the claim text.

Systems, methods and apparatus to cluster and classify individuals in groups

Life of this patent

Systems, methods and apparatus to cluster and classify individuals in groups

Life of this patent

Abstract

Claims22