David Nicholson

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This paper proposes an efficient online, hybrid, Bayesian multi-sensor fusion algorithm for target tracking in the presence of modelled and unmodelled faults. The algorithm comprises two stages. The first stage attempts to remove modelled faults from each individual sensor estimate. The second stage de-emphasises estimates which have been subject to(More)
We investigate the assignment of assets to tasks where each asset can potentially execute any of the tasks, but assets execute tasks with a probabilistic outcome of success. There is a cost associated with each possible assignment of an asset to a task, and if a task is not executed there is also a cost associated with the non-execution of the task. Thus(More)
Modern applications of data fusion are rarely starved of data but they look more challenging because the data can be diverse (hard and soft), uncertain and ambiguous, and often swamped by irrelevant detail. This paper presents a mathematical framework for dealing with these issues. It manages diverse data by representing it in the common format of a kernel(More)
An aerosol time-of-flight mass spectrometer (ATOFMS) was used to determine, in real time, the size and chemical composition of individual particles in the atmosphere at the remote inland site of Eskdalemuir, Scotland. A total of 51,980 particles, in the size range 0.3-7.4 microm, were detected between the 25th and 30th June 2001. Rapid changes in the number(More)
The increasing use of the World Wide Web (WWW or Web) for information retrieval from information systems has raised a demand for Web to database interface building tools. The requirements for such a building tool is analysed and a framework (WebinTool) for rapid building and easy maintenance of Web interfaces is presented. The key component of the WebinTool(More)
Conventional “hard” sensing in urban spaces is challenged by the complexity of the environment, creating gaps in situation assessment and possible confusion due to data association errors. Crowdsourced “soft” reports from human observers may remedy this problem but require techniques for fusing hard and soft data. This paper(More)