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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.…
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Keywords:
single object;
squares method;
localization;
least squares ... See more keywords
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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…
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Keywords:
object localization;
localization tracking;
vision based;
real time ... See more keywords
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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…
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Keywords:
system;
ranging sensor;
laser ranging;
object localization ... See more keywords
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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…
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Keywords:
smart home;
approach;
object localization;
localization ... See more keywords
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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.…
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Keywords:
aerial object;
underwater aerial;
gravitational field;
gravitational gradient ... See more keywords
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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…
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Keywords:
ferromagnetic object;
based improved;
improved triangulating;
object localization ... See more keywords
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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…
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Keywords:
force;
force estimation;
object localization;
marker ... See more keywords
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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…
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Keywords:
localization;
weakly supervised;
supervised object;
object localization ... See more keywords
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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…
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Keywords:
part;
object;
weakly supervised;
object localization ... See more keywords
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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…
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Keywords:
mobile lidar;
point cloud;
point;
object localization ... See more keywords
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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…
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Keywords:
learning framework;
learning;
object localization;
localization segmentation ... See more keywords