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Discovering trajectory patterns is shown to be very useful in learning interactions between moving objects. Many types of trajectory patterns have been proposed in the literature, but previous methods were developed for only a specific type of trajectory patterns. This limitation could make pattern discovery tedious and inefficient since users typically do not know which types of trajectory patterns...
An algorithm named the optimized region partition coverage algorithm (ORPCA) are proposed to accomplish multi-robotspsila coverage task fast for an unknown area. For mobile robotpsilas study of covering whole region, the numbers of robots, the groups of robots and their initial locations are ensured with the limit of each robotpsilas energy, velocity and working time constraints. This algorithm uses...
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlier detection algorithm has limited capability to detect outlying sub- trajectories. In this paper, we propose a novel partition-and-detect framework for trajectory outlier detection, which partitions a trajectory into a set...
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