This paper proposes a heuristic method for the sensor selection problem that uses a state vector fusion approach as a data fusion method. We explain the heuristic to estimate a stationary target position. Given a first sensor with specified accuracy and by using genetic algorithm, the heuristic selects second sensor such that the fusion of two sensor measurements would yield an optimal estimati...

Advanced driver assistance systems (ADAS) have increasing demand for several sensor systems. Fusing multi-sensor data enlarges the field of view and increases the certainty and precision of the estimates. A crucial part of a fusion system is the data association, which requires data synchronization. The major synchronization strategies for data fusion are discussed and contrasted with respect t...

Sensor networks are often part of a cyber-physical system. A large-scale sensor network often involves big data collection and data fusion. The agent technology has drawn much attention in wireless sensor networks (WSNs) to perform data fusion and energy balancing. Existing multi-agent itinerary algorithms are either time-consuming or too complicated in practice. In this paper, we design a rout...

As a result of several successful applications in computer vision and image processing, sparse representation (SR) has attracted significant attention in multi-sensor image fusion. Unlike the traditional multiscale transforms (MSTs) that presume the basis functions, SR learns an over-complete dictionary from a set of training images for image fusion, and it achieves more stable and meaningful r...

Decision fusion in sensor networks enables sensors to improve classification accuracy while reducing the energy consumption and bandwidth demand for data transmission. In this paper, we focus on the decentralized multi-class classification fusion problem in wireless sensor networks (WSNs) and a new simple but effective decision fusion rule based on belief function theory is proposed. Unlike exi...

Sensor technology has been used in water environment, which comes into being a water environment wireless sensor monitoring network. Monitoring data in the network slowly change, so we propose a geographical energy-efficient multi-hop clustering fusion routing algorithm based on multilayer perceptron (MLP-GEEMHCFR) in this paper to reduce transmittingdata and save the network energy.The algorit...

This paper proposes a heuristic method for the sensor selection problem that uses a state vector fusion approach as a data fusion method. We explain the heuristic to estimate a stationary target position. Given a first sensor with specified accuracy and by using genetic algorithm, the heuristic selects second sensor such that the fusion of two sensor measurements would yield an optimal estimati...

This paper addresses the multi-view action recognition problem with a local segment similarity voting scheme, upon which we build a novel multi-sensor fusion method. The recently proposed random forests classifier is used to map the local segment features to their corresponding prediction histograms. We compare the results of our approach with those of the baseline Bag-of-Words (BoW) and the Na...

Designing tracking systems that cover large indoor areas and encompass different sensor modalities pose many significant challenges such as multi-sensor data fusion, coordinate system handoff and associated transformations. In this paper, we present the design and implementation of a prototypical system that effectively tackles these challenges. The proposed system is empirically validated in a...