A Strict and High-Accuracy Time Synchronization Approach for Consumer-Grade Cameras and Laser Scanning Sensors Using Robust Attitude Feature Matching in Time Series

Author:

Cao Kuang,Hu Qing-wu,Zhao Pengcheng,Ai Mingyao,Huang Shuowen,Li Jian,Li Jiayuan

Publisher

Elsevier BV

Reference27 articles.

1. Lighting conditions: Bright. Human traffic: Minimal. Presence of electronic signal interference: Yes. Presence of large machinery vibration interference: Yes. Scene 4: School square Data collection duration: 23 minutes, in an open setting. Lighting conditions: Relatively dark. Human traffic: High, with minimal vehicular traffic. Presence of electronic signal interference: Yes. Scene 5: Outside the sports stadium Data collection duration: 90 minutes, in an open setting. Lighting conditions: Bright. Human traffic: High, with significant vehicular traffic;Lighting conditions: Relatively bright

2. SLAM overview: From single sensor to heterogeneous fusion;W Chen;Remote Sensing,2022

3. A survey of state-of-the-art on visual SLAM;I A Kazerouni;Expert Systems with Applications,2022

4. A review of multi-sensor fusion slam systems based on 3D LIDAR;X Xu;Remote Sensing,2022

5. R $^ 2$ LIVE: A Robust, Real-Time, LiDAR-Inertial-Visual Tightly-Coupled State Estimator and Mapping;J Lin;IEEE Robotics and Automation Letters,2021

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