ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes - Archive ouverte HAL Access content directly
Conference Papers Year :

ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes

Abstract

We present ReViVD, a tool for exploring and filtering large trajectory-based datasets using virtual reality. ReViVD's novelty lies in using simple 3D shapes—such as cuboids, spheres and cylinders—as queries for users to select and filter groups of trajectories. Building on this simple paradigm, more complex queries can be created by combining previously made selection groups through a system of user-created Boolean operations. We demonstrate the use of ReViVD in different application domains, from GPS position tracking to simulated data (e. g., turbulent particle flows and traffic simulation). Our results show the ease of use and expressiveness of the 3D geometric shapes in a broad range of exploratory tasks.
Fichier principal
Vignette du fichier
vr20a-sub1681-i7.pdf (15.12 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02482695 , version 1 (18-02-2020)

Identifiers

Cite

François Homps, Yohan Beugin, Romain Vuillemot. ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes. IEEE VR, Mar 2020, Atlanta, United States. ⟨10.1109/VR46266.2020.1581269207852⟩. ⟨hal-02482695⟩
92 View
104 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More