A Factor Graph Approach for Attitude Estimation of Spacecraft Using a Stellar Gyroscope
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2897321
Abstract: A stellar gyroscope is an attitude sensor that is composed of a micro star sensor and a micro-electro-mechanical system gyroscope. The attitude is the output by fusing the information of the two sensors. Due to… read more here.
Keywords: star; attitude; factor graph; stellar gyroscope ... See more keywords
A Multi-Sensor Information Fusion Method Based on Factor Graph for Integrated Navigation System
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3051715
Abstract: The current navigation systems used in many autonomous mobile robotic applications, like unmanned vehicles, are always equipped with various sensors to get accurate navigation results. The key point is to fuse the information from different… read more here.
Keywords: sensor information; method; navigation; factor graph ... See more keywords
Factor Graph Framework for Smartphone Indoor Localization: Integrating Data-Driven PDR and Wi-Fi RTT/RSS Ranging
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3267121
Abstract: The classic fusion localization techniques based on the Kalman filter (KF) framework have been a focus of research community in the past decades, due to the limited computing power of mobile devices. However, with computing-efficient… read more here.
Keywords: fusion; localization; smartphone; framework ... See more keywords
Low-Complexity Near-Optimum Symbol Detection Based on Neural Enhancement of Factor Graphs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3209884
Abstract: We consider the application of the factor graph framework for symbol detection on linear inter-symbol interference channels. Based on the Ungerboeck observation model, a detection algorithm with appealing complexity properties can be derived. However, since… read more here.
Keywords: factor; symbol detection; detection; factor graph ... See more keywords
An Integrated INS/Lidar Odometry/Polarized Camera Pose Estimation via Factor Graph Optimization for Sparse Environment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3156976
Abstract: 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 features. A… read more here.
Keywords: environment; sparse; polarized camera; factor ... 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
A hybrid cooperative navigation method for UAV swarm based on factor graph and Kalman filter
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Distributed Sensor Networks"
DOI: 10.1177/15501477211064758
Abstract: Navigation plays an important role in the task execution of the micro-unmanned aerial vehicle (UAV) swarm. The Cooperative Navigation (CN) method that fuses the observation of onboard sensors and relative information between UAVs is a… read more here.
Keywords: filter; kalman filter; factor graph; method ... See more keywords
RSSD-based 3-D localization of an unknown radio transmitter using weighted least square and factor graph
Sign Up to like & getrecommendations! Published in 2019 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-018-1329-5
Abstract: Realizing accurate detection of an unknown radio transmitter (URT) has become a challenging problem due to its unknown parameter information. A method based on received signal strength difference (RSSD) fingerprint positioning technique and using factor… read more here.
Keywords: radio transmitter; unknown radio; weighted least; rssd based ... See more keywords
Bayesian Feature Fusion Using Factor Graph in Reduced Normal Form
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11041934
Abstract: In this work, we investigate an Information Fusion architecture based on a Factor Graph in Reduced Normal Form. This paradigm permits to describe the fusion in a completely probabilistic framework and the information related to… read more here.
Keywords: fusion; graph reduced; normal form; factor graph ... See more keywords