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An Integrated GNSS/LiDAR-SLAM Pose Estimation Framework for Large-Scale Map Building in Partially GNSS-Denied Environments
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Low-drift and real-time lidar odometry and mapping
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Real-time loop closure in 2D LIDAR SLAM
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Probabilistic Fuzzy System for Uncertain Localization and Map Building of Mobile Robots
inferredcites →https://doi.org/10.1109/tim.2013.2265476openalex-snapshot
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iSAM2: Incremental smoothing and mapping using the Bayes tree
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On Improving Navigation Accuracy of GPS/INS Systems
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Evaluation of a Backpack-Mounted 3D Mobile Scanning System
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An Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping
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inferred← citeshttps://doi.org/10.3390/s24237525openalex-snapshot
Online Calibration of Inertial Sensors Based on Error Backpropagation
inferred← citeshttps://doi.org/10.3390/su13158291openalex-snapshot
Spatial Analysis as a Tool for Plant Population Conservation: A Case Study of Tamarix chinensis in the Yellow River Delta, China
inferred← citeshttps://doi.org/10.35633/inmateh-75-07openalex-snapshot
RESEARCH ON YOLOv5-BASED VISUAL SLAM OPTIMISATION METHOD IN FARM DEPOT ENVIRONMENT
inferred← citeshttps://doi.org/10.48550/arxiv.2111.15043openalex-snapshot
RailLoMer: Rail Vehicle Localization and Mapping with LiDAR-IMU-Odometer-GNSS Data Fusion
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