GCLO: Ground Constrained LiDAR Odometry with Low-drifts for GPS-denied Indoor Environments
Author:
Affiliation:
1. Hikvision Research Institute (HRI), Hangzhou Hikvision Digital Technology Co.,Ltd.,Hangzhou,China
2. University of Science and Technology of China (USTC),Hefei,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812336.pdf?arnumber=9812336
Reference31 articles.
1. PSF-LO: Parameterized Semantic Features Based Lidar Odometry
2. LiTAMIN2: Ultra Light LiDAR-based SLAM using Geometric Approximation applied with KL-Divergence
3. Visual-lidar odometry and mapping: low-drift, robust, and fast
4. Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping
5. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age
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