A Fusion Method with Incremental Learning Ability

The multisensor systems under the dynamic and unknown environment often encounter the incremental modification of environment and its configuration.This results in the fact that the fusion methods with learning ability cannot be suitable any more under this condition.In this paper,a new fusion method with incremental learning ability is proposed.This method utilizes an incremental learning algorithm called Receptive Field Weighted Regression (RFWR),and weighted average is used as the fusion strategy,thus it is more adaptive and robust than previous ones.The problem of three cameras positioning is taken into account and the corresponding simulation is implemented.Simulation results verify the effectiveness of this method.Comparison with BP neural network-based fusion method is also provided.