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A typical unmanned ground vehicle (UGV) mission can be composed of various tasks and several alternative paths. Small UGVs commonly rely on electric rechargeable batteries for their operations. Since each battery has limited energy storage capacity, it is essential to predict the expected mission energy requirement during the mission execution and update this prediction adaptively via real-time performance...
Short term traffic speed prediction is very important in intelligent transportation systems. Neural networks have been widely used for traffic speed prediction. However, the classical neural network usually lacks satisfactory generalization ability, which usually results in an imprecise prediction of traffic speed. Regularization is an essential technique to improve the generalization ability of neural...
Location prediction is one of the key technologies of active mobility management in the next generation of mobile communication systems. Most of known location prediction models only take parts of predictive factors into account, which leads to a low prediction success ratio of these models. The motivation of this paper is to design a location prediction model considering multiple predictive factors...
The interpretation of aerial images is difficult, especially for low-resolution images. Although solutions have been worked on for many years, performance of these systems is still not sufficient to be useful in practical applications. One potential solution is to create systems composed of many specialized modules. We introduce one such module, a Bayesian tracker for linear structures, such as pipelines...
Currently the traffic information services of Telematics have had high qualities due to easy collection of the real-time traffic information through intelligent transport system (ITS). In this work, a short-term prediction model is proposed for forecasting the traffic information. The Bayesian network is used for each link with some casual nodes which can affect road situations in the future. In addition,...
Road tracking is a promising technique to increase the efficiency of road mapping. In this paper, a new road tracker, angular texture signature, is proposed based on the knowledge of the roads on high resolution imagery. The tracker uses parabola to model the road trajectory and predict the position of next road centreline point. It employs angular texture signature to get the moving direction of...
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