activity
20202024
most cited(k, l)-Medians Clustering of Trajectories Using Continuous Dynamic Time Warping

22 citations · 38 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CG2024

Map-Matching Queries under Fréchet Distance on Low-Density Spanners

Kevin Buchin, Maike Buchin, Joachim Gudmundsson +2

Map matching is a common task when analysing GPS tracks, such as vehicle trajectories. The goal is to match a recorded noisy polygonal curve to a path on the map, usually represent…

cs.CG2023

Oriented Spanners

Kevin Buchin, Joachim Gudmundsson, Antonia Kalb +4

Given a point set in the Euclidean plane and a parameter , we define an \emph{oriented -spanner} as an oriented subgraph of the complete bi-directed graph such that f…

cs.CG2022

Segment Visibility Counting Queries in Polygons

Kevin Buchin, Bram Custers, Ivor van der Hoog +4

Let be a simple polygon with vertices, and let be a set of points or line segments inside . We develop data structures that can efficiently count the number of o…

cs.CG2021★ 9 cited

Computing the Fréchet Distance Between Uncertain Curves in One Dimension

Kevin Buchin, Maarten Löffler, Tim Ophelders +3

We consider the problem of computing the Fréchet distance between two curves for which the exact locations of the vertices are unknown. Each vertex may be placed in a given uncerta…

cs.CG2021

Uncertain Curve Simplification

Kevin Buchin, Maarten Löffler, Aleksandr Popov +1

We study the problem of polygonal curve simplification under uncertainty, where instead of a sequence of exact points, each uncertain point is represented by a region, which contai…

cs.LG2020★ 22 cited

(k, l)-Medians Clustering of Trajectories Using Continuous Dynamic Time Warping

Milutin Brankovic, Kevin Buchin, Koen Klaren +3

Due to the massively increasing amount of available geospatial data and the need to present it in an understandable way, clustering this data is more important than ever. As cluste…

cs.CG2020★ 7 cited

Fréchet Distance for Uncertain Curves

Kevin Buchin, Chenglin Fan, Maarten Löffler +3

In this paper we study a wide range of variants for computing the (discrete and continuous) Fréchet distance between uncertain curves. We define an uncertain curve as a sequence of…