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   Articles with "graph optimization" as a keyword



Locality constrained Graph Optimization for Dimensionality Reduction

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.03.046

Abstract: Recently, graph-based dimensionality reduction methods have attracted much attention due to their widely applications in many practical tasks such as image classification and data clustering. However, an inappropriate graph which cannot accurately reflect the underlying… read more here.

Keywords: graph optimization; locality; dimensionality reduction; dimensionality ... See more keywords

PPP based on factor graph optimization

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

DOI: 10.1088/1361-6501/ad6680

Abstract: Kalman or Kalman-related filtering methods are routinely applied in precise point positioning (PPP). However, in robot simultaneous localization and mapping (SLAM) systems, factor graph optimization (FGO) has proven advantages over filtering methods in recent years,… read more here.

Keywords: factor graph; graph optimization; accuracy; ppp ... See more keywords

Laser-inertial tightly coupled SLAM system for indoor degraded environments

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recommendations! Published in 2024 at "Sensor Review"

DOI: 10.1108/sr-07-2024-0615

Abstract: Purpose To address the issues of low localization and mapping accuracy, as well as map ghosting and drift, in indoor degraded environments using light detection and ranging-simultaneous localization and mapping (LiDAR SLAM), a real-time localization… read more here.

Keywords: odometry; graph optimization; system; tightly coupled ... See more keywords

A Graph Optimization-Based Indoor Map Construction Method via Crowdsourcing

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recommendations! Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2836396

Abstract: Indoor mapping is an essential element of indoor navigation systems. In this paper, we present a graph optimization-based method for indoor map construction, which can be used in buildings without prior knowledge. By using crowdsourcing… read more here.

Keywords: graph optimization; method; optimization based; map construction ... See more keywords

Dimensionality Reduction via Multiple Locality-Constrained Graph Optimization

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recommendations! Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2871884

Abstract: In recent years, graph-based dimensionality reduction methods became increasingly more significant since they have been successfully applied in various computer vision and machine learning problems. The key point in graph-based dimensionality reduction methods is how… read more here.

Keywords: graph optimization; locality; dimensionality reduction; dimensionality ... See more keywords

Bathymetric Pose Graph Optimization with Regularized Submap Matching

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3160190

Abstract: The quality of sonar seabed mapping performed using autonomous underwater vehicles depends on the accuracy of the vehicle trajectory estimation. To reduce the accumulated pose estimation errors from dead reckoning, bathymetry observations from sonar sensors… read more here.

Keywords: pose graph; graph optimization; regularized submap; optimization regularized ... See more keywords

Accurate and Real-Time 3D-LiDAR Multiobject Tracking Using Factor Graph Optimization

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recommendations! Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2023.3336221

Abstract: Accurate and real-time tracking of multiple moving objects in 3-D space is critical for intelligent transportation applications such as autonomous driving and traffic monitoring. However, tracking performance is often hindered by difficulties such as occlusion… read more here.

Keywords: graph optimization; real time; factor graph; multiobject tracking ... See more keywords

Robust Factor Graph Optimization for GNSS/INS Tightly Coupled Integration: A Flexible Strategy for Urban Navigation Resilience

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3583479

Abstract: Intelligent transportation systems, including autonomous vehicles, require precise and reliable navigation and positioning systems to ensure safety. However, Global Navigation Satellite System (GNSS) observations are degraded by signal interference, such as obstructions and reflections from… read more here.

Keywords: graph optimization; navigation; robust factor; factor graph ... See more keywords

Interactive Filtering-Graph-Optimization Method for Resilient GNSS/PDR Integrated Navigation

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3608193

Abstract: Given the superiority of global consistency and plug-and-play capability, factor graph optimization (FGO) has been extensively studied in multisensor integrated navigation. However, due to the lack of an error covariance matrix for evaluating the posterior… read more here.

Keywords: graph optimization; navigation; gnss pdr; fgo ... See more keywords

A Spanning Tree-Based Multi-Resolution Approach for Pose-Graph Optimization

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3185779

Abstract: This paper proposes a computationally efficient method for pose-graph optimization that makes use of a multi-resolution representation of pose-graph transformation constructed on a spanning tree. It is shown that the proposed spanning tree-based hierarchy has… read more here.

Keywords: tree based; pose graph; graph optimization; spanning tree ... See more keywords

Distributed Pose-Graph Optimization With Multi-Level Partitioning for Multi-Robot SLAM

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recommendations! Published in 2024 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2024.3382531

Abstract: The back-end module of Distributed Collaborative Simultaneous Localization and Mapping (DCSLAM) requires solving a nonlinear Pose Graph Optimization (PGO) under a distributed setting, also known as $SE(d)$-synchronization. Most existing distributed graph optimization algorithms employ a… read more here.

Keywords: multi level; graph optimization; pose graph; distributed pose ... See more keywords