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Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3068640
Abstract: The assumption of scene rigidity is common in visual SLAM algorithms. However, it limits their applicability in populated real-world environments. Furthermore, most scenarios including autonomous driving, multi-robot collaboration and augmented/virtual reality, require explicit motion information…
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Keywords:
dynaslam tightly;
object tracking;
dynamic objects;
tightly coupled ... See more keywords
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1
Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3186091
Abstract: This work presents a novel dense RGB-D SLAM approach for dynamic planar environments that enables simultaneous multi-object tracking, camera localisation and background reconstruction. Previous dynamic SLAM methods either rely on semantic segmentation to directly detect…
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Keywords:
dynamic objects;
camera;
rgb slam;
planar environments ... See more keywords
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2
Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3203231
Abstract: Visual inertial odometry and SLAM algorithms are widely used in various fields, such as service robots, drones, and autonomous vehicles. Most of the SLAM algorithms are based on assumption that landmarks are static. However, in…
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Keywords:
static objects;
dynamic objects;
slam;
visual inertial ... See more keywords
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Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3332395
Abstract: The traditional simultaneous localization and mapping (SLAM) systems rely on the assumption of a static environment and fail to accurately estimate the system’s location when dynamic objects are present in the background. While learning-based dynamic…
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Keywords:
dynamic objects;
dynamics two;
slam;
stage ... See more keywords
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Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3348881
Abstract: In urban environments, creating an accurate and reliable map is crucial for mobile robotic tasks, including localization, path planning, and navigation. However, the presence of dynamic objects, such as vehicles and pedestrians, can potentially affect…
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Keywords:
dynamic objects;
convex hull;
hull triangle;
static mapping ... See more keywords
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Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3395311
Abstract: Phase shifting profilometry (PSP) has high accuracy and resolution, but its performance significantly diminishes when confronted with dynamic scenes due to extraprojected patterns. In this article, we present a novel dual-domain coded phase shifting method…
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Keywords:
reconstruction dynamic;
dynamic objects;
dual domain;
domain modulation ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3571084
Abstract: In vehicle LiDAR odometry, a common challenge arises from the feature misalignment caused by dynamic objects. Although current popular deep-learning-based semantic segmentation methods are able to effectively identify dynamic objects, they are limited to recognizing…
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Keywords:
odometry;
lidar odometry;
semantic information;
dynamic objects ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3150297
Abstract: Three-dimensional (3D) reconstruction of dynamic objects has broad applications, including object recognition and robotic manipulation. However, achieving high-accuracy reconstruction and robustness to motion simultaneously is a challenging task. In this paper, we present a novel…
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Keywords:
reconstruction;
reconstruction dynamic;
induced error;
dynamic objects ... See more keywords
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1
Published in 2019 at "IEEE Transactions on Robotics"
DOI: 10.1109/tro.2019.2909085
Abstract: Six degree-of-freedom (6-DoF) visual tracking of dynamic objects is fundamental to a large variety of robotics and augmented reality (AR) applications. A key to this problem is accurate distance measurement of dynamic objects, which is…
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Keywords:
motion dynamic;
robotics;
objects using;
dynamic objects ... See more keywords
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Published in 2018 at "Scanning"
DOI: 10.1155/2018/6985698
Abstract: The purpose of this paper is to design and simulate a new computed tomography (CT) system with a high temporal resolution for dynamic objects. We propose a multisource cubical CT (MCCT) system with X-ray tubes…
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Keywords:
system;
simulation study;
dynamic objects;
multisource cubical ... See more keywords
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Published in 2025 at "Optics express"
DOI: 10.1364/oe.560998
Abstract: Optical scanning holography (OSH) can measure three-dimensional (3D) fluorescence targets by recording incoherent holograms with two-dimensional Fresnel zone pattern (FZP) scanning and a single-pixel detector. However, the complexity of the optical setup has limited its…
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Keywords:
dynamic objects;
single pixel;
pixel;
pixel holographic ... See more keywords