Results 261 to 270 of about 5,808,675 (298)
Some of the next articles are maybe not open access.
A Novel INS/USBL Integrated Navigation Scheme Via Factor Graph Optimization
IEEE Transactions on Vehicular Technology, 2022Factor 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 scenarios. However, it is
Liang Zhang, L. Hsu, T. Zhang
semanticscholar +1 more source
IEEE Transactions on Aerospace and Electronic Systems, 2021
This article proposes an improved global navigation satellite system (GNSS) positioning method that explores the time correlation between consecutive epochs of the code and carrier-phase measurements, which significantly increases the robustness against ...
Xiwei Bai, W. Wen, L. Hsu
semanticscholar +1 more source
This article proposes an improved global navigation satellite system (GNSS) positioning method that explores the time correlation between consecutive epochs of the code and carrier-phase measurements, which significantly increases the robustness against ...
Xiwei Bai, W. Wen, L. Hsu
semanticscholar +1 more source
Graph Optimal Monomorphism Algorithms
IEEE Transactions on Systems, Man, and Cybernetics, 1980The characterization of graph morphisms in terms of the subgraphs of the Cartesian graph product is extended and used to develop algorithms for an optimal graph monomorphism problem. The objective functional considered is defined as the sum of the weights associated with vertex and arc mappings.
Ghahraman, David E. +2 more
openaire +1 more source
Information Processing Letters, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Jeng-Jung +2 more
openaire +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Jeng-Jung +2 more
openaire +1 more source
IEEE Robotics and Automation Letters, 2022
For autonomous systems, the smoothness of estimated trajectories is essential to ensure robust and performant vehicle control. Unfortunately, approaches for state estimation using Kalman filters are sensitive to measurement outliers that can diverge ...
Haoming Zhang +3 more
semanticscholar +1 more source
For autonomous systems, the smoothness of estimated trajectories is essential to ensure robust and performant vehicle control. Unfortunately, approaches for state estimation using Kalman filters are sensitive to measurement outliers that can diverge ...
Haoming Zhang +3 more
semanticscholar +1 more source
Knowledge Discovery and Data Mining, 2022
Recently, many machine learning-based approaches that effectively solve graph optimization problems have been proposed. These approaches are usually trained on graphs randomly generated with graph generators or sampled from existing datasets. However, we
Chen-Hsu Yang, Chih-Ya Shen
semanticscholar +1 more source
Recently, many machine learning-based approaches that effectively solve graph optimization problems have been proposed. These approaches are usually trained on graphs randomly generated with graph generators or sampled from existing datasets. However, we
Chen-Hsu Yang, Chih-Ya Shen
semanticscholar +1 more source
PPP based on factor graph optimization
Measurement science and technologyKalman 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 ...
Guorui Xiao +6 more
semanticscholar +1 more source
Optimal Time Difference-Based TDCP-GPS/IMU Navigation Using Graph Optimization
IEEE Transactions on Instrumentation and Measurement, 2021Global positioning system (GPS) has been widely used to estimate the absolute position of outdoor vehicles. Global positioning system and inertial measurement unit (IMU) can be integrated to deliver an enhanced effect over the individual system.
Pin Lyu +5 more
semanticscholar +1 more source
Bell System Technical Journal, 1975
Many important properties of switching networks can be effectively studied in the more general context of graph theory. In particular, the various rearrangeability properties of a network fall into this category. If G is a graph with vertex set V = I ∪ Ω, we say G is rearrangeable if, for all choices of distinct vertices, i 1 , i 2 , …, i 1 in I and j
openaire +2 more sources
Many important properties of switching networks can be effectively studied in the more general context of graph theory. In particular, the various rearrangeability properties of a network fall into this category. If G is a graph with vertex set V = I ∪ Ω, we say G is rearrangeable if, for all choices of distinct vertices, i 1 , i 2 , …, i 1 in I and j
openaire +2 more sources
PoGO-Net: Pose Graph Optimization with Graph Neural Networks
IEEE International Conference on Computer Vision, 2021Accurate camera pose estimation or global camera re-localization is a core component in Structure-from-Motion (SfM) and SLAM systems. Given pair-wise relative camera poses, pose-graph optimization (PGO) involves solving for an optimized set of globally ...
Xinyi Li, Haibin Ling
semanticscholar +1 more source