Visual analysis to support exploration of recorded UAV data

Christophe Hurter (1, 2, 3) , Christian Colongo (4) , Dominique Bernard (4) , Benjamin Tissoires (1, 2, 5)

1 LII - ENAC - Equipe Informatique Interactive
2 DGAC - Direction Générale de l'Aviation Civile
3 IRIT - Institut de recherche en informatique de Toulouse
4 ISAE-SUPAERO - Institut Supérieur de l'Aéronautique et de l'Espace
5 IRIT-ICS - Interactive Critical Systems

Developments and improvements of UAV features are an awkward and difficult challenge. This activity requires precise tools and evaluation methods to analyze the UAV parameters. Therefore large quantity of data must be monitored and analyzed. In this paper, we present results of the produced visualizations with FromDaDy when exploring the recorded data of an UAV. FromDaDy is a visualization tool that tackles the challenge of representing, and interacting with numerous data. Together with a finely tuned mix between design customization and simple interactions, users can filter, remove and add data in an iterative manner until they extract a set of relevant information, thus formulating complex queries. The produced visualizations give a good insight of available information and then assess the performance of the recorded flight.

Mots clés: dataset exploration; information visualization; unmanned vehicle data

Domaines: Interface homme-machine [cs.HC]

Christophe Hurter, Christian Colongo, Dominique Bernard, Benjamin Tissoires. Visual analysis to support exploration of recorded UAV data. HUMOUS 2010, Conference on Humans Operating Unmanned Systems, Apr 2010, Toulouse, France. pp xxx. ⟨hal-01022251⟩