Tightly-Coupled SLAM Integrating LiDAR and INS for Unmanned Vehicle Navigation in Campus Environments

Simultaneous Localization and Mapping (SLAM) is one of the key issues for mobile robots to achieve true autonomy. The implementations of SLAM could rely on a variety of sensors. Among many types of them, the laser-based SLAM approach is widely used owing to its high accuracy, even in poor lighting c...

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Autori principali:	Linshuai Zhang, Qian Wang, Shuoxin Gu, Tao Jiang, Shiqi Jiang, Jiajia Liu, Shuang Luo, Gongjun Yan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	SLAM mobile robot localization and navigation multi-sensor data fusion liDAR and INS high-precision point cloud map
Accesso online:	https://ieeexplore.ieee.org/document/10440022/
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