Summary:
1.) Introduction Adam Kalisz
1.1) BCon17 Talk: "Academic Usage of Blender at Ohm and FAU". Material: http://bcon17.kalisz.co/. Video: https://www.youtube.com/watch?v=PMYET5LA-Kg.
1.2.) Introduction Chair LIKE at Friedrich-Alexander-University
2.) Visual Simultaneous Localization And Mapping (SLAM)
3.) Machine Learning
4.) Scientific Visualization using Blender
To conclude, we can proudly say: Thank you Blender and of course also you, the Blender Community! It is great to be a part of it.
And Thank you for listening. If you have any questions, feel free to ask them now.
https://www.like.tf.fau.de/forschung/forschungsprojekte/robolab/.
F. Particke, A. Kalisz, C. Hofmann, M. Hiller, H. Bey and J. Thielecke, "Systematic Analysis of Direct Sparse Odometry," 2018 Digital Image Computing: Techniques and Applications (DICTA), Canberra, Australia, 2018, pp. 1-6.
doi: 10.1109/DICTA.2018.8615807
keywords: {distance measurement;mobile robots;robot vision;SLAM (robots);systematic analysis;autonomous driving;heterogeneous environments;DSO;direct sparse odometry;simultaneous localization and mapping;visual SLAM problem;Cameras;Simultaneous localization and mapping;Three-dimensional displays;Urban areas;Calibration},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615807&isnumber=8615748
Kalisz, Adam; Particke, F.; Penk, D.; Hiller, M. and Thielecke, J. (2019). B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-354-4, pages 816-823.
DOI: 10.5220/0007375308160823