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2017

Annotation of Car Trajectories based on Driving Patterns

Moosavi, Sobhan, Omidvar-Tehrani, Behrooz, Craig, R. Bruce et al.

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Nowadays, the ubiquity of various sensors enables the collection of voluminous datasets of car trajectories.

Such datasets enable analysts to make sense of driving patterns and behaviors: in order to understand the behavior of drivers, one approach is to break a trajectory into its underlying patterns and then analyze that trajectory in terms of derived patterns.
The process of trajectory segmentation is a function of various resources including a set of ground truth trajectories with their driving patterns.
To the best of our knowledge, no such ground-truth dataset exists in the literature.

Annotation of Car Trajectories based on Driving Patterns · Around

Built on

A coefficient of agreement for nominal scales
J. Cohen · 1960
Earlier work this paper cites.
Global distance-based segmentation of trajectories
A. Anagnostopoulos, M. Vlachos, M. Hadjieleftheriou, E. Keogh, and P. S. Yu · 2006
Earlier work this paper cites.
Segmenting trajectories: A framework and algorithms using spatiotemporal criteria
M. Buchin, A. Driemel, M. van Kreveld, and V. Sacristán · 2011
Earlier work this paper cites.

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Then

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