Results 11 to 20 of about 20,432 (202)
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
IEEE Robotics and Automation Letters, 2018 In recent years, vision-aided inertial odometry for state estimation has matured significantly. However, we still encounter challenges in terms of improving the computational efficiency and robustness of the underlying algorithms for applications in ...
Kumar, Vijay +7 more
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IEEE Robotics & Automation Magazine, 2011 Visual odometry (VO) is the process of estimating the egomotion of an agent (e.g., vehicle, human, and robot) using only the input of a single or If multiple cameras attached to it. Application domains include robotics, wearable computing, augmented reality, and automotive. The term VO was coined in 2004 by Nister in his landmark paper.
Davide Scaramuzza, Friedrich Fraundorfer
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Stereo Event-Based Visual–Inertial Odometry
SensorsEvent-based cameras are a new type of vision sensor in which pixels operate independently and respond asynchronously to changes in brightness with microsecond resolution, instead of providing standard intensity frames.
Kunfeng Wang +3 more
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Event-Based Stereo Visual Odometry [PDF]
IEEE Transactions on Robotics, 2021 Event-based cameras are bio-inspired vision sensors whose pixels work independently from each other and respond asynchronously to brightness changes, with microsecond resolution. Their advantages make it possible to tackle challenging scenarios in robotics, such as high-speed and high dynamic range scenes. We present a solution to the problem of visual
Yi Zhou, Guillermo Gallego, Shaojie Shen
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The International Journal of Robotics Research, 2021 Visual motion estimation is a well-studied challenge in autonomous navigation. Recent work has focused on addressing multimotion estimation in highly dynamic environments. These environments not only comprise multiple, complex motions but also tend to exhibit significant occlusion.
Judd, KM, Gammell, JD
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Deep Visual Odometry With Adaptive Memory [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 accepted to TPAMI and an extension of CVPR oral paper: Beyond Tracking: Selecting Memeory and Refining Poses for Deep Visual Ododmetry.
Fei Xue +3 more
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Robocentric Visual-Inertial Odometry [PDF]
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 In this paper, we propose a novel robocentric formulation of the visual-inertial navigation system (VINS) within a sliding-window filtering framework and design an efficient, lightweight, robocentric visual-inertial odometry (R-VIO) algorithm for consistent motion tracking even in challenging environments using only a monocular camera and a 6-axis IMU.
Huai, Zheng, Huang, Guoquan
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Bias compensation in visual odometry [PDF]
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012 Empirical evidence shows that error growth in visual odometry is biased. A projective bias model is developed and its parameters are estimated offline from trajectories encompassing loops. The model is used online to compensate for bias and thereby significantly reduces error growth.
Dubbelman, Gijs +2 more
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Comparison of Three Off-the-Shelf Visual Odometry Systems
Robotics, 2020 Positioning is an essential aspect of robot navigation, and visual odometry an important technique for continuous updating the internal information about robot position, especially indoors without GPS (Global Positioning System). Visual odometry is using
Alexandre Alapetite +4 more
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Visually Mediated Odometry in Honeybees [PDF]
Journal of Experimental Biology, 1997 ABSTRACT The ability of honeybees to gauge the distances of short flights was investigated under controlled laboratory conditions where a variety of potential odometric cues such as flight duration, energy consumption, image motion, airspeed, inertial navigation and landmarks were manipulated.
Srinivasan, M., Zhang, S., Bidwell, N.
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