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most citedThe TUM VI Benchmark for Evaluating Visual-Inertial Odometry

474 citations · 1.8k across the 20 of their papers we have counts for

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Showing 2018 · cs.CVShow all

5 papers · 2 filters

cs.CV2018★ 95 cited

Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras

Hidenobu Matsuki, Lukas von Stumberg, Vladyslav Usenko +2

We propose a novel real-time direct monocular visual odometry for omnidirectional cameras. Our method extends direct sparse odometry (DSO) by using the unified omnidirectional mode…

cs.CV2018★ 35 cited

Direct Sparse Odometry with Rolling Shutter

David Schubert, Nikolaus Demmel, Vladyslav Usenko +2

Neglecting the effects of rolling-shutter cameras for visual odometry (VO) severely degrades accuracy and robustness. In this paper, we propose a novel direct monocular VO method t…

cs.CV2018★ 84 cited

The Double Sphere Camera Model

Vladyslav Usenko, Nikolaus Demmel, Daniel Cremers

Vision-based motion estimation and 3D reconstruction, which have numerous applications (e.g., autonomous driving, navigation systems for airborne devices and augmented reality) are…

cs.CV2018★ 231 cited

Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization

Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers

We present VI-DSO, a novel approach for visual-inertial odometry, which jointly estimates camera poses and sparse scene geometry by minimizing photometric and IMU measurement error…

cs.CV2018★ 474 cited

The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

David Schubert, Thore Goll, Nikolaus Demmel +3

Visual odometry and SLAM methods have a large variety of applications in domains such as augmented reality or robotics. Complementing vision sensors with inertial measurements trem…