Neural Networks
Adaptive mixtures of local experts
Neural Computation
A sensor fusion framework using multiple particle filters for video-based navigation
IEEE Transactions on Intelligent Transportation Systems
A modular neural network approach to improve map-matched GPS positioning
W2GIS'06 Proceedings of the 6th international conference on Web and Wireless Geographical Information Systems
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This paper provides an overview of work undertaken over the past year to develop Artificial Neural Network (ANN) techniques to improve the accuracy and reliability of road selection during map-matching computation. Map matching positions provided by low-cost GPS receivers have great potential when integrated with hand-held or in-vehicle Geographical Information System (GIS) applications, especially those used for tracking and navigation, on path and road networks. Initial results indicate that improvements in map-matching and positional accuracy can indeed be achieved by using simple ANNs over traditional methods. This earlier work will be extended to incorporate more complex procedures and, hopefully, produce further improvements. Recent results are presented, and planned research is explained. Further results and conclusions of this on-going research will be published in due course.