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Multi-sensor fusion approach with fault detection and exclusion based on the Kullback-Leibler Divergence: Application on collaborative multi-robot system.

, , и . Inf. Fusion, (2017)

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Student's $t$ Information Filter with Adaptive Degree of Freedom for Multi-Sensor Fusion., , и . FUSION, стр. 1-8. IEEE, (2019)Improved Outdoor Localization Based on Weighted Kullback-Leibler Divergence for Measurements Diagnosis., и . IEEE Intell. Transp. Syst. Mag., 12 (4): 41-56 (2020)Multi-sensor fusion approach with fault detection and exclusion based on the Kullback-Leibler Divergence: Application on collaborative multi-robot system., , и . Inf. Fusion, (2017)Fast multi fault detection & exclusion approach for GNSS integrity monitoring., , , , и . FUSION, стр. 1-6. IEEE, (2014)Multi-Robot Autonomous Navigation System Using Informational Fault Tolerant Multi-Sensor Fusion with Robust Closed Loop Sliding Mode Control., , , и . FUSION, стр. 1-5. IEEE, (2018)Informational Framework for Minimalistic Visual Odometry on Outdoor Robot., , , и . IEEE Trans. Instrumentation and Measurement, 68 (8): 2988-2995 (2019)NDT Localization with 2D Vector Maps and Filtered LiDAR Scans., , и . ECMR, стр. 1-6. IEEE, (2021)Fault tolerant multi-sensor fusion for multi-robot collaborative localization., , и . MFI, стр. 272-278. IEEE, (2016)Collaborative Localization for Multi-Robot System with Fault Detection and Exclusion Based on the Kullback-Leibler Divergence., , и . J. Intell. Robotic Syst., 87 (3-4): 661-681 (2017)Toward High Integrity Personal Localization System Based on Informational Formalism., , , , , и . IEEE Trans. Instrumentation and Measurement, 68 (11): 4590-4599 (2019)