A Real-time Framework for UAV Indoor Self-Positioning and 3D Mapping Base on 2D Lidar, Stereo Camera and IMU-Reference-Cited by-同舟云学术

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A Real-time Framework for UAV Indoor Self-Positioning and 3D Mapping Base on 2D Lidar, Stereo Camera and IMU

Published:2023-07-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Real-time Computing and Robotics (RCAR)
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Author:

Liang Lebin¹,Rao Haotian¹,Shen Guohao²,Wang Can¹,Wu Xinyu¹

Affiliation:

1. Chinese Academy of Sciences,Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology,Shenzhen,China,518055

2. South China Agricultural University,College of Electronic Engineering (College of Artificial Intelligence),Guangzhou,China,510642

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249208/10249018/10249971.pdf?arnumber=10249971

Reference17 articles.

1. Indoor SLAM Algorithm Based on PL-ICP and Map Matching

2. Vision-Based State Estimation and Trajectory Control Towards High-Speed Flight with a Quadrotor

3. LIDAR/MEMS IMU integrated navigation (SLAM) method for a small UAV in indoor environments

4. Vicp: Velocity updating iterative closest point algorithm;hong;International Conference on Robotics and Automation,2010

5. Adaptive estimation of UAV altitude in complex indoor environments using degraded and time-delayed measurements with time-varying uncertainties

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