Indoor INS/LiDAR-Based Robot Localization With Improved Robustness Using Cascaded FIR Filter

Indoor INS/LiDAR-Based Robot Localization With Improved Robustness Using Cascaded FIR Filter

In this paper, an indoor inertial navigation system (INS) integrated with light detection and ranging (LiDAR) robot localization system is proposed to provide accurate information about the robot location. To achieve high accuracy and robustness, a cascaded finite-impulse response (FIR) filter is de...

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Bibliographic Details
Main Authors: Yuan Xu, Yuriy S. Shmaliy, Yueyang Li, Xiyuan Chen, Hang Guo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Indoor localization
inertial navigation system
light detection and ranging
FIR filtering
Kalman filtering
Online Access:https://ieeexplore.ieee.org/document/8662661/

Internet

https://ieeexplore.ieee.org/document/8662661/

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