DE
EN
Suche öffnen
search for
Menu
Research
Overview
Research topics
Overview
Image Analysis
Extended Reality (XR)
Artificial Intelligence
Reconstruction
Visual Analytics
Simulation
Visualization
Immersive Analytics
Climate-sensitive planning
Research groups
Overview
Biomedical Image Informatics
Geospatial Visualization, Semantic Modelling, and Acquisition Group
Integrated Simulations
Interactive Visualization
Mobile Augmented Reality
Multiple Senses
Visual Analytics
ClimaSens
Research projects
Overview
Products & Solutions
Overview
Solutions
Automotive Industry
Data Science
Energy Industry
Geology
Industry 4.0
Infrastructure and Construction
Climate Adaptation
Cultural Heritage and Creative Industries
Life Science
Medicine
Sustainable Development Goals
Space
Services
Products & Licenses
Aardvark
Brain*
ComVis
GEARViewer
PRo3D
SimVis
viscloud
Visplore
Publications
News & Events
Overview
News
Events
Awards
Newsletter
Press reviews
Media contact
Downloads
About
We are
Team
Supervisory Board
Scientific Advisory Board
Network
COMET center VRVis
Spin-offs
Career
Open positions
Fast Facts
Corporate Culture
Equal opportunities and diversity
Living and working in Vienna
Academic work at VRVis
Social Wall
Contact
Publications
Home
Publications
back
G. Paar ,
C. Traxler
,
R. Nowak
, F. Garolla , A. Bechtold , C. Köberl , M. Y. F. Alonso , O. Sidla (2020)
Mars-DL: Demonstrating feasibility of a simulation-based training approach for autonomous Planetary science target selection
Bibtex
PDF
communication medium
Europlanet Science Congress (EPSC) 2020
research topic
Artificial Intelligence
research groups
Geospatial Visualization, Semantic Modelling, and Acquisition Group
solutions
Geology
Space
Keywords
artifical intelligence, deep learning, planetary science, Mars mission, 3D reconstruction
