An Improved Variational Bayesian-Based Adaptive Federated Kalman Filter for Multi-Sensor Integrated Navigation Systems. [PDF]
Sensors (Basel)Yan Y, Yang J.
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Path integration from optic flow and the role of eye movements. [PDF]
Sci RepReisenegger R, Bremmer F.
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State estimation of multi-sensor systems based on error-state Kalman. [PDF]
PLoS OneLiu Y, Liu P, Shi Y.
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Research on Multi-Sensor Fusion Localization for Forklift AGV Based on Adaptive Weight Extended Kalman Filter. [PDF]
Sensors (Basel)Wang Q +5 more
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An Odometer-Free Approach for Unmanned Ground-Based Vehicle Simultaneous Localization and Mapping
, 2019 Simultaneous localization and mapping (SLAM) in unknown GPS-denied environments is a very challenging problem due to the complex environment factors and the lack of prior knowledge of such environments.
Gu, Xiaowei +2 more
core
Development of an active counter unmanned aerial system with integrated autonomous mobile robot for inspection and defense. [PDF]
Sci RepLi S, Fan K, Cai W, Wang L, Fan A.
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Identification and Characterization of an Electric Vehicle's Operational Regimes Using Sensor Data. [PDF]
Sensors (Basel)Silvestri F +4 more
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A method for calculating wetting collapse potential of loess based on basic physical indices. [PDF]
iScienceFan X +5 more
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DynaFusion-SLAM: Multi-Sensor Fusion and Dynamic Optimization of Autonomous Navigation Algorithms for Pasture-Pushing Robot. [PDF]
Sensors (Basel)Liu Z, Fang J, Zhao Y.
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Modeling and optimizing mileage homogeneity in public transportation using Gini index. [PDF]
Sci RepSevim B, Ayvaz B, Eldemir F.
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