Robust Localization Techniques for Autonomous Systems in GPS-Denied Environments
Authors: Priyanka Das
DOI: https://doi.org/10.5281/zenodo.14259573
Short DOI: https://doi.org/g8s4gh
Country: USA
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Abstract: Navigation is an essential part of our everyday life. One of the most used and reliable techniques used for localization is GPS. Few examples where GPA plays a major role are in navigation of autonomous vehicles such as drones, underwater vehicles, and mobile robots. As GPS works correctly in most scenarios there are situations where GPS data can’t be reliable,for example cities with high rise building, underwater exploration, indoors,etc. In this paper we will discuss different robust localization techniques designed for autonomous systems where GPS data is unavailable.
Keywords: Navigation, Localization, Visual Odometry, Simultaneous Localization and Mapping, sensor fusion, machine learning
Paper Id: 231707
Published On: 2020-04-07
Published In: Volume 8, Issue 2, March-April 2020