Update README.md (#26)

README.md

@@ -67,7 +67,7 @@ Koide et al., "GLIM: 3D Range-Inertial Localization and Mapping with GPU-Acceler
 
 The GLIM framework involves ideas expanded from the following papers:  
 - (LiDAR-IMU odometry and mapping) "Globally Consistent and Tightly Coupled 3D LiDAR Inertial Mapping", ICRA2022 [[DOI]](https://doi.org/10.1109/ICRA46639.2022.9812385)
-- (Global registration error minimization) "Globally Consistent 3D LiDAR Mapping with GPU-accelerated GICP Matching Cost Factors", IEEE RA-L (RA-L), 2021, [[DOI]](https://doi.org/10.1109/LRA.2021.3113043)
+- (Global registration error minimization) "Globally Consistent 3D LiDAR Mapping with GPU-accelerated GICP Matching Cost Factors", IEEE RA-L, 2021, [[DOI]](https://doi.org/10.1109/LRA.2021.3113043)
 - (GPU-accelerated scan matching) "Voxelized GICP for Fast and Accurate 3D Point Cloud Registration", ICRA2021, [[DOI]](https://doi.org/10.1109/ICRA48506.2021.9560835)
 
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