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dc.contributor.authorGanoni, Ori
dc.contributor.authorMukundan, Ramakrishnan
dc.contributor.editorSkala, Václav
dc.identifier.citationWSCG 2017: full papers proceedings: 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 29-36.en
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD-ROM)
dc.description.abstractThis paper presents a generalized framework for the simulation of multiple robots and drones in highly realistic models of natural environments. The proposed simulation architecture uses the Unreal Engine4 for generating both optical and depth sensor outputs from any position and orientation within the environment and provides several key domain specific simulation capabilities. Various components and functionalities of the system have been discussed in detail. The simulation engine also allows users to test and validate a wide range of computer vision algorithms involving different drone configurations under many types of environmental effects such as wind gusts. The paper demonstrates the effectiveness of the system by giving experimental results for a test scenario where one drone tracks the simulated motion of another in a complex natural environment.en
dc.format8 s.cs
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2017: full papers proceedingsen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectrobotická simulacecs
dc.subjectsimulace dronemcs
dc.subjectmodely přírodního prostředícs
dc.subjectsledování přirozených funkcícs
dc.subjectUnreal Engine 4cs
dc.titleA framework for visually realistic multi-robot simulation in natural environmenten
dc.typekonferenční příspěvekcs
dc.subject.translatedrobot simulationen
dc.subject.translateddrone simulationen
dc.subject.translatednatural environment modelsen
dc.subject.translatednatural feature trackingen
dc.subject.translatedUnreal Engine 4en
Appears in Collections:WSCG 2017: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29542

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