A general and flexible factor graph non-linear least square optimization framework
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Updated
Jan 14, 2022 - C++
A general and flexible factor graph non-linear least square optimization framework
A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
A collection of GTSAM factors and optimizers for point cloud SLAM
Factored inference for discrete-continuous smoothing and mapping.
Robust GNSS Processing With Factor Graphs
Lightweighted graph optimization (Factor graph) library.
Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
A novel architecture in which the Factor Graph Optimization (FGO) is hybrid with the Extended Kalman Filter (EKF) for tightly coupled GNSS/UWB integration with online Temporal calibration (FE-GUT).
Code release for "Evaluation of Precise Point Positioning Convergence with an Incremental Graph Optimizer".
General purpose C++ library for managing discrete factor graphs
Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”
Experimental platform to achieve fused environment perception using different modalities of sensors
深蓝学院多传感器融合定位 Implementation of Multi-sensor Fusion SLAM Algorithms
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