DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM
Sign Up to like & getrecommendations! 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… read more here.
Keywords: dynaslam tightly; object tracking; dynamic objects; tightly coupled ... See more keywords
RGB-D SLAM in Indoor Planar Environments With Multiple Large Dynamic Objects
Sign Up to like & getrecommendations! 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… read more here.
Keywords: dynamic objects; camera; rgb slam; planar environments ... See more keywords
DynaVINS: A Visual-Inertial SLAM for Dynamic Environments
Sign Up to like & getrecommendations! 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… read more here.
Keywords: static objects; dynamic objects; slam; visual inertial ... See more keywords
Accurate 3D Reconstruction of Dynamic Objects by Spatial-Temporal Multiplexing and Motion-Induced Error Elimination
Sign Up to like & getrecommendations! 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… read more here.
Keywords: reconstruction; reconstruction dynamic; induced error; dynamic objects ... See more keywords
Tracking 3-D Motion of Dynamic Objects Using Monocular Visual-Inertial Sensing
Sign Up to like & getrecommendations! 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… read more here.
Keywords: motion dynamic; robotics; objects using; dynamic objects ... See more keywords
Design and Simulation Study of a CNT-Based Multisource Cubical CT System for Dynamic Objects
Sign Up to like & getrecommendations! 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… read more here.
Keywords: system; simulation study; dynamic objects; multisource cubical ... See more keywords
A Particle PHD Filter for Dynamic Grid Map Building towards Indoor Environment
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11156891
Abstract: The PHD (Probability Hypothesis Density) filter is a sub-optimal multi-target Bayesian filter based on a random finite set, which is widely used in the tracking and estimation of dynamic objects in outdoor environments. Compared with… read more here.
Keywords: grid map; dynamic grid; dynamic objects; filter ... See more keywords