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"VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial ..."

Koji Minoda et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-02-18

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2102-05965
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2102-05965
Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi:
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments. CoRR abs/2102.05965 (2021)

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