Articles with "object localization" as a keyword



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Single‐object localization using multiple ultrasonic sensors and constrained weighted least‐squares method

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Published in 2021 at "Asian Journal of Control"

DOI: 10.1002/asjc.2491

Abstract: In this paper, an active single‐object localization system with U‐shaped ultrasonic module array is presented. The proposed algorithm in this system has two stages. The first stage is time‐of‐flight (TOF) estimation of reflected ultrasonic signals.… read more here.

Keywords: single object; squares method; localization; least squares ... See more keywords
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Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System

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Published in 2017 at "IEEE Access"

DOI: 10.1109/access.2017.2764419

Abstract: This paper focuses on the problem of vision-based obstacle detection and tracking for unmanned aerial vehicle navigation. A real-time object localization and tracking strategy from monocular image sequences is developed by effectively integrating the object… read more here.

Keywords: object localization; localization tracking; vision based; real time ... See more keywords
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An Object Localization System Using Monocular Camera and Two-Axis-Controlled Laser Ranging Sensor for Mobile Robot

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3084153

Abstract: Aiming at object grasping of indoor mobile robots, this paper develops an object localization system based on the fusion of a monocular camera and a two-axis-controlled laser ranging sensor. The system can locate the specified… read more here.

Keywords: system; ranging sensor; laser ranging; object localization ... See more keywords
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3-D Object Localization in Smart Homes: A Distributed Sensor and Video Mining Approach

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Published in 2018 at "IEEE Systems Journal"

DOI: 10.1109/jsyst.2017.2669478

Abstract: Tracing objects in 3-D space provides information while can be used to analyze, model, predict, and recognize daily activities in the smart home environment. In this paper, we introduce a novel approach for object localization… read more here.

Keywords: smart home; approach; object localization; localization ... See more keywords
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Analytical Formulas for Underwater and Aerial Object Localization by Gravitational Field and Gravitational Gradient Tensor

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Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2017.2722475

Abstract: Object localization techniques have significant applications in civil fields and safety problems. A novel analytical formula is developed for accurate underwater and aerial object real-time localization by combining gravitational field and horizontal gravitational gradient anomalies.… read more here.

Keywords: aerial object; underwater aerial; gravitational field; gravitational gradient ... See more keywords
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Ferromagnetic Object Localization Based on Improved Triangulating and Ranging

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Published in 2019 at "IEEE Magnetics Letters"

DOI: 10.1109/lmag.2019.2911263

Abstract: The performance of scalar triangulation and ranging (STAR) for the localization of ferromagnetic objects is limited by asphericity error. Alternatively, iterative strategies may be used to reduce error and improve performance. However, iterative methods have… read more here.

Keywords: ferromagnetic object; based improved; improved triangulating; object localization ... See more keywords
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UVtac: Switchable UV Marker-Based Tactile Sensing Finger for Effective Force Estimation and Object Localization

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Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3163450

Abstract: Vision-based tactile sensors provide diverse information of external tactile stimuli on the skin of sensors using both marker and reflective membrane images. However, when markers and reflective membranes are used concurrently, conventional opaque markers inevitably… read more here.

Keywords: force; force estimation; object localization; marker ... See more keywords
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HiCT: Hierarchical Comprehend of Transformer for Weakly Supervised Object Localization

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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3261939

Abstract: The weakly supervised object localization (WSOL) has always been a very challenging research subject in the field of computer vision, which aims to predict the localization of objects in an image using only an image-level… read more here.

Keywords: localization; weakly supervised; supervised object; object localization ... See more keywords
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Diverse Complementary Part Mining for Weakly Supervised Object Localization

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Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3145238

Abstract: Weakly Supervised Object Localization (WSOL) aims to localize objects with only image-level labels, which has better scalability and practicability than fully supervised methods in the actual deployment. However, a common limitation for available techniques based… read more here.

Keywords: part; object; weakly supervised; object localization ... See more keywords
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Three-Dimensional Object Co-Localization From Mobile LiDAR Point Clouds

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Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2021.3057374

Abstract: Recently, 3D deep learning technologies require a large amount of supervised 3D point-cloud data to learn statistical models for various ITS-related tasks, e.g. object classification, object detection, object segmentation, etc. However, manually annotating 3D point-cloud… read more here.

Keywords: mobile lidar; point cloud; point; object localization ... See more keywords
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SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly Labeled Videos

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Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2018.2881114

Abstract: Object localization and segmentation in weakly labeled videos are two interesting yet challenging tasks. Models built for simultaneous object localization and segmentation have been explored in the conventional fully supervised learning scenario to boost the… read more here.

Keywords: learning framework; learning; object localization; localization segmentation ... See more keywords