REGULAR PAPERS Analyzing Temporal Constraints for Web Services Composition Ruiqiang Yu, Zhiqiu Huang, Lin Wang, and Hongjie Zhang Canonicalization in the PrIKL Reasoner Don Libes, Antoine Gerardin, Severin Tixier, and Fabian Neuhaus Evaluation System for Evaluating the VMS Guidance Effect Chengxiang Zhuge, Chunfu Shao, Changqing Zheng, Qiao Liang, and Jian Gao A Survey on Data Security Issues i...

The expectation maximisation algorithm (EM) was introduced by Dempster, Laird and Rubin in 1977 [DLR77]. The basic of expextation maximisation is maximum likelihood estimation (MLE). In modern sensor data fusion expectation maximisation becomes a substantial part in several applications, e.g. multi target tracking with probabilistic multi hypothesis tracking (PMHT), target extraction within pro...

Sensors, which monitor the surrounding environment in order to enhance our decisions, play a major role in our lives and contribute to our actions. A single sensor, however, is not capable of providing enough information; therefore, multiple sensors have to be integrated in a way to perform the additional task of interpretation, which may be more helpful and informative than what can be observe...

Autonomous Robots and Vehicles need accurate positioning and localization for their guidance, navigation and control. Often, two or more different sensors are used to obtain reliable data useful for control system. This paper presents the data fusion system for mobile robot navigation. Odometry and sonar signals are fused using Extended Kalman Filter (EKF) and Adaptive Fuzzy Logic System (AFLS)...

Multi-sensory information is a generic concept since such information is of concern in all robotic systems where information processing is central. In such systems for the enhancement of the accurate action information redundant sensors are necessary where not only the number of the sensors but also the resolutional information of the sensors can vary due to information with different sampling ...

Sensor data fusion plays an important role in current and future vehicular active safety systems. The development of new advanced sensors is not sufficient enough without the utilisation of enhanced signal processing techniques such as the data fusion methods. A stand alone sensor cannot overcome certain physical limitations as for example the limited range and the field of view. Therefore comb...

After a brief introduction, we review the background of the problem of fusion in machine vision. We then present fusion as part of the process of dynamic world modeling, and postulate a set of principles for the "fusion" of independent observations. These principles lead to techniques which permit perceptual fusion with qualitatively different forms of data, treating each source of information ...

We view the problem of sensor-based decision-making in terms of two components: a sensor fusion component that isolates a set of models consistent with observed data, and an evaluation component that uses this information and task-related information to make model-based decisions. This paper describes a procedure for computing the solution set of parametric equations describing a sensor-object ...

Helicopter crews are required to carry out a wide range of duties most of which involve operational safety. One particular flight safety problem that has relevance to a variety of different types of rotorcraft is assisting the pilot in obstacle avoidance. Obstacles, in this context, may typically include other aircraft, terrain features, buildings, bridges, overhead cables and poles. The proble...

A proposed framework using spectral and spatial information is introduced for neural net multisensor data fusion. This consists of a set of independent-sensor neural nets, one for each sensor (type of data), coupled to a fusion net. The neural net of each sensor is trained from a representative data set of the particular sensor to map to a hypothesis space output. The decision outputs from the ...