Generation and VR Visualization of 3D Point Clouds for Drone Target Validation Assisted by an Operator

Louis-Pierre Bergé (1, 2) , Nabil Aouf (3) , Thierry Duval (1, 2) , Gilles Coppin (1, 2)

1 Lab-STICC_TB_CID_IHSEV
2 LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information
3 Centre for Electronic Warfare and Cyber

In this paper, we present a process to simulate 3D data; as an unmanned combat aerial vehicle (drone) equipped with a Ladar sensor could do. The data obtained are colored 3D point clouds in where potential targets are highlighted. Our objective with these simulated corpus of 3D point cloud data is to explore the usage of Virtual Reality settings to validate the selection of a target. To do that we detail an implementation of a VR headset to visualize our simulated data. We also introduce a metric to estimate the visibility of the target.

Mots clés: 3D interaction; Virtual Reality; 3D Visualization; Drone Target Validation

Domaines: Interface homme-machine [cs.HC]; Ordinateur et société [cs.CY]; Synthèse d'image et réalité virtuelle [cs.GR]

Louis-Pierre Bergé, Nabil Aouf, Thierry Duval, Gilles Coppin. Generation and VR Visualization of 3D Point Clouds for Drone Target Validation Assisted by an Operator. 8th Computer Science and Electronic Engineering Conference (CEEC 2016), Sep 2016, Colchester, United Kingdom. pp.66-70, ⟨10.1109/CEEC.2016.7835890⟩. ⟨hal-01487071⟩