UnrealNavigation: Simulation Software for testing SLAM in Virtual Reality
Anne Bettens, Benjamin Morrell, Mauricio Coen, Neil McHenry, Xiaofeng Wu, Peter W. Gibbens, Gregory Chamitoff
- Year
- 2020
- Citations
- 11
Abstract
We present UnrealNavigation; an integrated software platform for testing Simultaneous Localization and Mapping (SLAM) algorithms for autonomous robotic navigation. The frame- work, which is part of a Virtual Reality simulation in space environments is designed to allow rapid testing of autonomous navigation algorithm components. The architecture is designed with a plug-and-play style adaptability in mind, allowing for a wide range of uses and rapid development. Two approaches to SLAM will be demonstrated in the novel simulation frame- work, utilizing a game development engine, Unreal, connected by the Robotic Operating System (ROS). Comparison of these two algorithms was enabled through the simulation framework created. The different approaches authenticate the ability to integrate a holistic algorithm system or separate components into the framework.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002