Locality constrained Graph Optimization for Dimensionality Reduction
Sign Up to like & getrecommendations! 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
A Graph Optimization-Based Indoor Map Construction Method via Crowdsourcing
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Spanning Tree-Based Multi-Resolution Approach for Pose-Graph Optimization
Sign Up to like & getrecommendations! 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
Smartphone PDR/GNSS Integration via Factor Graph Optimization for Pedestrian Navigation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3186082
Abstract: In a smartphone, the global navigation satellite system (GNSS) receiver is dominant in providing position information for users. However, GNSS signals are vulnerable to the environment, i.e., city canyons and tunnels. Pedestrian dead reckoning (PDR)… read more here.
Keywords: gnss integration; graph optimization; smartphone; pdr ... See more keywords
3D Mapping Database Aided GNSS Based Collaborative Positioning Using Factor Graph Optimization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.2988531
Abstract: The recent development in vehicle-to-everything (V2X) communication opens a new opportunity to improve the positioning performance of the road users. We explore the benefit of connecting the raw data of the global navigation satellite system… read more here.
Keywords: gnss based; factor graph; graph optimization; collaborative positioning ... See more keywords
A Novel INS/USBL Integrated Navigation Scheme Via Factor Graph Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3177739
Abstract: Factor graph optimization (FGO) is a well-known approach in the robotics field. Due to multiple iterations and application of large amounts of data, it usually could superior performance than the Kalman Filter (KF) under complex… read more here.
Keywords: usbl integrated; graph optimization; ins usbl; factor graph ... See more keywords