Abstract. Multisensor data fusion technology is a new frontier technology. According to the demand of greenhouse environment monitoring, the paper puts forward a new kind of data fusion method based on Dempster-Shafer (D-S) evidence theory and agricultural expert system. The experimental results show that the method can improve the veracity of decision of measuring and controlling greenhouse en...

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...

The number of perception sensors on automated vehicles increases due to the increasing number of advanced driver assistance system functions and their increasing complexity. Furthermore, fail-safe systems require redundancy, thereby increasing the number of sensors even further. A one-size-fits-all multisensor data fusion architecture is not realistic due to the enormous diversity in vehicles, ...

A hybrid intelligent expert system is being developed for the Adaptive Multisensor Integrated Security System (AMISS) to identify threatening patterns of behavior in a nuclear facility 2, 3]. The focus of this paper is the sensor fusion strategy used to create the input to the rule-based and neural network reasoning systems. The sensor fusion components of the AMISS system use a number of data ...

To solve the problem of multisensor data fusion under non-Gaussian channel noise. The advanced M-estimates are known to be robust solution while trading off some accuracy. In order to improve the estimation accuracy while still maintaining the equivalent robustness, a two-stage robust fusion algorithm is proposed using preliminary rejection of outliers then an optimal linear fusion. The numeric...

In this paper, a multisensor data fusion system for object tracking is presented. It is able to track in real-time multiple targets in outdoor environments. The system can take advantage of the redundant information coming from different sensors monitoring the same scene. The measurements (positions of the targets) obtained from the available sources are fused together to obtain a more accurate...

A multisensor fusion approach for improving the map-building capability of a mobile robot is presented in this paper. Ultrasonic and video data are used. A modelling technique for indoor environments based on line features extraction from video data and from range data is proposed. The Hough transform is considered for extracting lines from the occupancy grid and from video images.

Although UNIX is considered a very stable and secure platform, the development of Intrusion Detection Systems (IDS) is essential as current and future generations of hackers are continuously attempting to undermine its integrity. The empirical experiment of multiple simultaneous threat detection system proved that use of hybrid data fusion model of Bayesian, Dempster Shafer and extended Dempste...

Today multiple multi-sensor airborne surveillance systems are available which comprises of primary radar and secondary surveillance radar as the active sensor on board. The electronics and communication support measure system (ECSMS) will aid in identification, detection and classification of targets. These systems will detect, identify, classify the different threats present in the surveillanc...