FUSION OF DATA FROM HETEROGENEOUS SOURCES

摘要

A system and method to perform multisensory data fusion in a distributed sensor environment for object identification classification. Embodiments of the invention are sensor-agnostic and capable handling a large number of sensors of different types via a gateway which transmits sensor measurements to a fusion engine according to predefined rules. A relation exploiter allows combining sensor measurements with information on object relationships from a knowledge base. Also included in the knowledge base is a travel model for objects, along with a graph generator to enable forecasting of object locations for further correlation of sensor data in object identification. Multiple task managers allow multiple fusion tasks to be performed in parallel for flexibility and scalability of the system.

主权项

1. A data fusion system for identifying, an object of interest, the data from multiple data sources, the system comprising:
a gateway, for receiving sensor measurements from a sensors set; a knowledge base stored in a non-transitory data storage, the knowledge base for storing information about plurality of objects and relationships there-between; a relation exploiter, for extracting one or more of the objects from the knowledge base, responsive to their relationship to the object of interest; a fusion engine, for receiving the sensor measurements from the gateway, the fusion engine comprising:
an orchestrator module, for combining at least two of the sensor measurements, responsive to the relationships of the one or more objects to the object of interest and;at least one task manager, for receiving a fusion task from the orchestrator module, for creating a fusion task data structure from the at least two combined sensor measurements, and for managing the fusion task data structure to identify the object of interest; anda Bayesian fusion unit for performing the fusion task for the at least one task manager.