Rapid evolution in sensor technology including distributed ground based sensors and devices such as smart dust have energized research efforts towards devising a theoretical foundation for sensor management and for multi-sensor data fusion. Features such as ubiquitous sensing, wide bandwidth communications and distributed processing provide both challenges and opportunities for sensor and proce...

Multi sensor data fusion is the data from multiple sensors and information from the relevant database are combined, which obtained judgment and description that can not achieve the goal, more accurate and complete by any single sensor. BP neural network is a kind of artificial neural network based on error back-propagation algorithm. It adopts adding hidden layer, to estimate the error directly...

Purpose Intelligent and connected vehicle technology is in the ascendant. High-level autonomous driving places more stringent requirements on accuracy reliability of environmental perception. Existing research works multitarget tracking based multisensor fusion mostly focuses perspective, but limited by principal defects sensor platform, it difficult to comprehensively accurately describe surro...

threat assessment in the computer networks of organizations can reduce damage caused by attacks and unexpected events. data fusion models such as the jdl model provide efficient and adequate sensors to gather the right information at the right time from the right components. this information then is refined and normalized to provide situational awareness and assess events that may be intended a...

This paper addresses the density based multi-sensor cooperative fusion using random finite set (RFS) type multi-object densities (MODs). Existing methods use scalar weights to characterize relative information confidence among local MODs, and in this way portion of contribution each MOD fused global can be tuned via adjusting these weights. Our analysis shows that mechanism a coefficient oversi...

Sensor management in multi-object stochastic systems is a theoretically and computationally challenging problem. This paper presents a novel approach to the multi-target multi-sensor control problem within the partially observed Markov decision process (POMDP) framework. We model the multi-object state as a labeled multi-Bernoulli random finite set (RFS), and use the labeled multi-Bernoulli fil...

In this paper, we present a gradient domain image fusion framework based on the Markov Random Field (MRF) fusion model. In this framework, the salient structures of the input images are fused in the gradient domain, then the final fused image is reconstructed by solving a Poisson equation which forces the gradients of the fused image to be close to the fused gradients. To fuse the structures in...

Sensor fusion plays a key part in autonomous surface vehicles, however, the high cost of sensors makes barrier entry this research field quite high. In work, we present complete system for sensor on milliAmpere ferry platform as well an open dataset maritime tracking across two environments. Individual and their detection pipelines are evaluated various metrics. We also evaluate performance bot...

In view of current unprogressive situation of factory breeding in aquaculture, this article designed a standardized, informationized and intelligentized aquaculture system, proposed a information fusion architecture based on multi-agent in greenhouse wireless sensor network (GWSN), and researched mainly the structural characteristic of the four-classed information fusion based on distributed mu...