Work

Adaptive-LIO: Enhancing Robustness and Precision Through Environmental Adaptation in LiDAR Inertial Odometry

Year: 2024

Type: article

Source: IEEE Internet of Things Journal

DOI: 10.1109/jiot.2024.3519533

Authors: Chengwei Zhao, Kun Hu, Jie Xu, Lijun Zhao, Baiwen Han, Kaidi Wu, Maoshan Tian, Shenghai Yuan

Institutions: Harbin Institute of Technology, State Key Laboratory of Robotics and Systems, China University of Mining and Technology, Nanyang Technological University, University of Electronic Science and Technology of China

Language: English

Topic: Robotics and Sensor-Based Localization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G6488581878

OpenAlex ID: W4405521076

FWCI: 4.728

Cites: 43

Cited by: 27

Related to: 10