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Towards Robust Single-Shot Monocular SLAM

  • 2024
  • OriginalPaper
  • Chapter
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Abstract

We are developing a visual SLAM approach for highly automated vehicles, mainly using monocular cameras, which makes it independent of other sensors and allows for redundant solutions. Furthermore, it simplifies extrinsic calibration and time synchronization issues. Therefore, we target a single-shot and real-time capable algorithm, which is deterministic, robust to environment structures, and complemented by confidence levels. Our cost-effective solution generates a 3D map of the environment, in which the vehicle can precisely determine its position. In the future, this can be used to supplement LiDAR systems in highly automated vehicles or even replace them in parts. In this paper, we present our recent progress in developing a robust single-shot monocular SLAM system.

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Title
Towards Robust Single-Shot Monocular SLAM
Authors
Gregory Schroeder
Ahmed Hussein
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-658-44797-7_2
    Image Credits
    AVL List GmbH/© AVL List GmbH, dSpace, BorgWarner, Smalley, FEV, Xometry Europe GmbH/© Xometry Europe GmbH, The MathWorks Deutschland GmbH/© The MathWorks Deutschland GmbH, HORIBA/© HORIBA, Outokumpu/© Outokumpu, Gentex GmbH/© Gentex GmbH, Ansys, Yokogawa GmbH/© Yokogawa GmbH, Softing Automotive Electronics GmbH/© Softing Automotive Electronics GmbH, measX GmbH & Co. KG, Hirose Electric GmbH/© Hirose Electric GmbH