Results 21 to 30 of about 3,501 (181)
Navigation and Mapping in Forest Environment Using Sparse Point Clouds
Remote Sensing, 2020 Odometry during forest operations is demanding, involving limited field of vision (FOV), back-and-forth work cycle movements, and occasional close obstacles, which create problems for state-of-the-art systems.
Paavo Nevalainen +5 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 six-axis ...
Zheng Huai, Guoquan Huang 0001
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Sensors, 2011 The improvement of odometry systems in collaborative robotics remains an important challenge for several applications. Social odometry is a social technique which confers the robots the possibility to learn from the others.
Zorana Bankovic +4 more
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ETRI Journal, 2021 Over the last few years, autonomous vehicles have progressed very rapidly. The odometry technique that estimates displacement from consecutive sensor inputs is an essential technique for autonomous driving. In this article, we propose a fast, robust, and
Seung‐Jun Han +3 more
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A Unified Formulation for Visual Odometry [PDF]
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 Monocular Odometry systems can be broadly categorized as being either Direct, Indirect, or a hybrid of both. While Indirect systems process an alternative image representation to compute geometric residuals, Direct methods process the image pixels directly to generate photometric residuals.
Georges Younes 0001 +2 more
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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.
Gijs Dubbelman +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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MAV Localization in Large-Scale Environments: A Decoupled Optimization/Filtering Approach
Sensors, 2023 Developing new sensor fusion algorithms has become indispensable to tackle the daunting problem of GPS-aided micro aerial vehicle (MAV) localization in large-scale landscapes.
Abanob Soliman +4 more
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Applied Sciences, 2021 Autonomous mobile vehicles need advanced systems to determine their exact position in a certain coordinate system. For this purpose, the GPS and the vision system are the most often used. These systems have some disadvantages, for example, the GPS signal
Jarosław Zwierzchowski +3 more
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Direct Line Guidance Odometry [PDF]
2018 IEEE International Conference on Robotics and Automation (ICRA), 2018 Modern visual odometry algorithms utilize sparse point-based features for tracking due to their low computational cost. Current state-of-the-art methods are split between indirect methods that process features extracted from the image, and indirect methods that deal directly on pixel intensities.
Shijie Li 0006 +5 more
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