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A Factor Graph Optimization Method for High-Precision IMU-Based Navigation System

IEEE Transactions on Instrumentation and Measurement, 2023
Multisensor-integrated navigation systems based on factor graph are increasingly used on indoor robots, UAVs, and other vehicles. The output information of the equipped low-cost inertial measurement unit (IMU) is usually processed by IMU preintegration ...
Pin Lyu   +5 more
semanticscholar   +1 more source

Covariance Estimation for Pose Graph Optimization in Visual-Inertial Navigation Systems

IEEE Transactions on Intelligent Vehicles, 2023
Pose graph optimization helps reduce drift accumulated in pure odometry of visual simultaneous localization and mapping (SLAM) systems by solving a nonlinear least square problem, including both sequential constraints and loop-closing constraints ...
Pengcheng Shi   +5 more
semanticscholar   +1 more source

A High-Precision LiDAR-Inertial Odometry via Kalman Filter and Factor Graph Optimization

IEEE Sensors Journal, 2023
For simultaneous localization and mapping (SLAM) in large-scale scenarios, the influence of long-distance and high-speed motion cannot be ignored because the risk of huge odometry drift will increase. To solve this problem, we propose the LiDAR -inertial
Jiaqiao Tang   +4 more
semanticscholar   +1 more source

Impact of the Earth Rotation Compensation on MEMS-IMU Preintegration of Factor Graph Optimization

IEEE Sensors Journal, 2022
In filtering-based global navigation satellite system (GNSS) / inertial navigation system (INS) integrated navigation systems, the precise INS mechanization has fully considered the impact of the Earth rotation, Coriolis acceleration, etc.
Hailiang Tang   +4 more
semanticscholar   +1 more source

On 4-Sachs Optimal Graphs

Graphs and Combinatorics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gong, Shi-Cai   +2 more
openaire   +2 more sources

Graph signatures: Identification and optimization

European Journal of Operational Research, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Balabhaskar Balasundaram   +2 more
openaire   +2 more sources

A Multi-Sensor Fusion Positioning Strategy for Intelligent Vehicles Using Global Pose Graph Optimization

IEEE Transactions on Vehicular Technology, 2022
Positioning technology is an important component of environmental perception and the basis of decision-making and motion control for intelligent vehicles. Current independent positioning methods inevitably have defects and poor environmental adaptability.
Xiaowen Tao   +6 more
semanticscholar   +1 more source

The Message Complexity of Distributed Graph Optimization

Information Technology Convergence and Services, 2023
The message complexity of a distributed algorithm is the total number of messages sent by all nodes over the course of the algorithm. This paper studies the message complexity of distributed algorithms for fundamental graph optimization problems.
Fabien Dufoulon   +4 more
semanticscholar   +1 more source

An Integrated INS/Lidar Odometry/Polarized Camera Pose Estimation via Factor Graph Optimization for Sparse Environment

IEEE Transactions on Instrumentation and Measurement, 2022
For the outdoor scenes with sparse features, the performance of inertial navigation system (INS)/Lidar odometry (LO)-based simultaneous localization and mapping (SLAM) pose estimation is drastically affected by the accumulated drift error and sparse ...
Tao Du   +4 more
semanticscholar   +1 more source

Optimal Graphs with Prescribed Connectivities

Mathematical Notes, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abrosimov, M. B., Terebin, B. A.
openaire   +2 more sources

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