Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

@article{Nardi2015IntroducingSA,
  title={Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM},
  author={Luigi Nardi and Bruno Bodin and M. Zeeshan Zia and John Mawer and Andy Nisbet and Paul H. J. Kelly and Andrew J. Davison and Mikel Luj{\'a}n and Michael F. P. O'Boyle and Graham D. Riley and Nigel Topham and Steve B. Furber},
  journal={2015 IEEE International Conference on Robotics and Automation (ICRA)},
  year={2015},
  pages={5783-5790}
}
Real-time dense computer vision and SLAM offer great potential for a new level of scene modelling, tracking and real environmental interaction for many types of robot, but their high computational requirements mean that use on mass market embedded platforms is challenging. Meanwhile, trends in low-cost, low-power processing are towards massive parallelism and heterogeneity, making it difficult for robotics and vision researchers to implement their algorithms in a performance-portable way. In… CONTINUE READING
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KFusion github

  • G. Reitmayr, H. Seichter
  • https://github. com/GerhardR/kfusion,
  • 2011
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