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   Articles with "feature points" as a keyword



Research on VSLAM Algorithm Based on Improved YOLO Algorithm and Multi‐View Geometry

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recommendations! Published in 2025 at "Journal of Field Robotics"

DOI: 10.1002/rob.22569

Abstract: Visual Simultaneous Localization and Mapping (VSLAM) uses camera sensors for environmental sensing and localization, widely applied in robotics, unmanned vehicles, and other sectors. Traditional VSLAMs typically assume static environments, but dynamic objects in such settings… read more here.

Keywords: robotics; algorithm; research vslam; geometry ... See more keywords

Constrained Kalman filter for uncooperative spacecraft estimation by stereovision

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recommendations! Published in 2020 at "Aerospace Science and Technology"

DOI: 10.1016/j.ast.2020.106133

Abstract: Abstract In this paper a novel approach based on constrained extended Kalman filter is proposed for estimating the relative state of the uncooperative spacecraft. The approach uses information from the stereovision-based navigation system to provide… read more here.

Keywords: system; stereovision; uncooperative spacecraft; spacecraft ... See more keywords
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A deep-learning real-time visual SLAM system based on multi-task feature extraction network and self-supervised feature points

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recommendations! Published in 2021 at "Measurement"

DOI: 10.1016/j.measurement.2020.108403

Abstract: Abstract Simultaneous Localization and Mapping (SLAM) is the basis for intelligent mobile robots to work in unknown environments. However, traditional feature extraction algorithms that traditional visual SLAM systems rely on have difficulty dealing with texture-less regions… read more here.

Keywords: visual slam; feature points; feature; slam system ... See more keywords

A dual-mode automatic switching feature points matching algorithm fusing IMU data

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recommendations! Published in 2021 at "Measurement"

DOI: 10.1016/j.measurement.2021.110043

Abstract: Abstract Feature point extraction and matching work together and play a crucial role in many machine vision tasks, such as visual simultaneous localization and mapping (SLAM) which is the basis of robotics. However, feature matching… read more here.

Keywords: dual mode; feature; feature points; points matching ... See more keywords

Real-time seam tracking control system based on line laser visions

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recommendations! Published in 2018 at "Optics and Laser Technology"

DOI: 10.1016/j.optlastec.2018.01.010

Abstract: Abstract A set of six-degree-of-freedom robotic welding automatic tracking platform was designed in this study to realize the real-time tracking of weld seams. Moreover, the feature point tracking method and the adaptive fuzzy control algorithm… read more here.

Keywords: time seam; laser; real time; control ... See more keywords
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Autonomous vehicle self-localization in urban environments based on 3D curvature feature points – Monte Carlo localization

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recommendations! Published in 2021 at "Robotica"

DOI: 10.1017/s0263574721000862

Abstract: Abstract This paper proposes a map-based localization system for autonomous vehicle self-localization in urban environments, which is composed of a pose graph mapping method and 3D curvature feature points – Monte Carlo Localization algorithm (3DCF-MCL).… read more here.

Keywords: vehicle self; feature points; self localization; autonomous vehicle ... See more keywords

DE-RGBD SLAM: enhancing static feature point selection in RGB-D visual SLAM using depth information

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ada056

Abstract: Feature point extraction plays a key role in visual simultaneous localization and mapping (SLAM) systems. And it remains a major challenge to accurately select static feature points in a complex dynamic environment. To address this… read more here.

Keywords: depth information; slam; feature; feature points ... See more keywords

Resilient Vision-Inertial Fusion Algorithm Based on the Depth of Feature Point

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3487243

Abstract: Visual simultaneous localization and mapping (VSLAM) as an efficient positioning and navigation solution has been widely used in fields such as unmanned aerial vehicles, robots, and autonomous driving. A key problem of VSLAM is how… read more here.

Keywords: fusion; feature; feature points; resilient vision ... See more keywords

A Fast Registration Method for Building Point Clouds Obtained by Terrestrial Laser Scanner via 2-D Feature Points

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3392927

Abstract: Point cloud registration plays a central role in various applications, such as 3-D scene reconstruction, preservation of cultural heritage and deformation monitoring. The point cloud data are usually huge. Processing such huge data is very… read more here.

Keywords: registration; registration method; point clouds; feature ... See more keywords

Spatial Geometry Theory-Based Algorithm for Accurate Positioning With Single Vision Beacon

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recommendations! Published in 2025 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2025.3552107

Abstract: Quick response (QR) code is one of the most popular beacons for indoor positioning. Existing QR code-based algorithms typically require several QR codes for precise positioning, which may need intense QR code deployment or have… read more here.

Keywords: spatial geometry; beacon; code; camera ... See more keywords

Robust Hierarchical Adaptive Fuzzy Relative Motion Coordination for Feature Points of Two Rigid Bodies With Input and Output Constraints

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recommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"

DOI: 10.1109/tfuzz.2020.3041161

Abstract: In this article, a model-based six-degrees-of-freedom relative motion coordinated control approach is developed for the relative position tracking and attitude synchronization between feature points of two rigid bodies subject to control input constraints, output constraints,… read more here.

Keywords: relative motion; feature; fuzzy; output constraints ... See more keywords