Outliers can affect trajectory analysis as they represent errors. There are two outlier detection categories, one focusing on a collection of trajectories, where one whole trajectory can be an outlier and another on points inside individual trajectories. In this paper, we focus on the latter. We benchmark existing open-source libraries and compare their efficiency and accuracy in cleaning outliers. To compare the accuracy, we present a method to build ground truth using the other sensor data in a multi-sensor environment.

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