Scale Drift-Aware Large Scale Monocular SLAM

@inproceedings{Strasdat2010ScaleDL,
  title={Scale Drift-Aware Large Scale Monocular SLAM},
  author={Hauke Malte Strasdat and J. M. M. Montiel and Andrew J. Davison},
  booktitle={Robotics: Science and Systems},
  year={2010}
}
State of the art visual SLAM systems have recently been presented which are capable of accurate, large-scale and real-time performance, but most of these require stereo vision. [] Key Method In particular, we present a new pose-graph optimisation technique which allows for the efficient correction of rotation, translation and scale drift at loop closures. Especially, we describe the Lie group of similarity transformations and its relation to the corresponding Lie algebra.

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