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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: 10.1109/LRA.2021.3058073

access: closed

type: Journal Article

metadata version: 2021-03-25

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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. IEEE Robotics Autom. Lett. 6(2): 1343-1350 (2021)

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