Open Access
| Issue |
MATEC Web Conf.
Volume 410, 2025
2025 3rd International Conference on Materials Engineering, New Energy and Chemistry (MENEC 2025)
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 10 | |
| Section | Intelligent Systems and Sensor Technologies for Autonomous Operations | |
| DOI | https://doi.org/10.1051/matecconf/202541004008 | |
| Published online | 24 July 2025 | |
- D. L. Hall, J. Llinas, An Introduction to Multi-sensor Data Fusion, in Proceedings of the IEEE International Symposium on Circuits and Systems, California, United States, June 1-3 (1998), 85(1), 6 – 23 [Google Scholar]
- J. Redmon, A. Farhadi, YOLO9000: Better, Faster, Stronger. Proceedings of the IEEE conference on computer vision and pattern recognition, Hawaii, United States, July 21- 26 (2017), 7263 - 7271. [Google Scholar]
- D. Wang, X. Liu, W. Li, et al, Precision Autonomous Flight Control Method of UAV Based on Multi-sensor Integration, Transactions of the Chinese Society for Agricultural Machinery, 50(12) (2019) [Google Scholar]
- H. Zhang, Z. Sheng, L. Ye, et al, Autonomous Obstacle Avoidance Method for Unmanned Aerial Vehicles Based on Multi-Sensor Fusion, Laser Journal, 45(01) (2024) [Google Scholar]
- G. Li, Y. Liu, Q. Zheng, et al, A review of research on multi-sensor data fusion for unmanned aerial vehicles. Journal of Software, 1-25 (2024) [Google Scholar]
- M. Jin, J. Tao, Z. Qiu, et al, Autonomous Obstacle Avoidance and Navigation Method for Unmanned Aerial Vehicles Based on Multi-Sensor Fusion Algorithm, 2024 3rd International Conference on Energy and Electrical Power Systems, Guangzhou, China (2024), 1329-1335. [Google Scholar]
- H. Chen, Research on Autonomous Pursuit and Obstacle Avoidance of UAV Based on Multi-sensor Information Fusion, Ph.D. thesis, Harbin Engineering University (2022) [Google Scholar]
- S. Karaman, E. Frazzoli, Sampling - based algorithms for optimal motion planning, The international journal of robotics research, 30(7), 846 - 894 (2011) [Google Scholar]
- H. Choset, K. Nagatani, Topological simultaneous localization and mapping (T - SLAM), IEEE Transactions on Robotics and Automation, 17(2), 125 - 137 (2001) [Google Scholar]
- H. Chen, Research on Autonomous Multi machine Collaborative SLAM Algorithm Based on Multi sensor Fusion, University of Electronic Science and Technology of China (2023) [Google Scholar]
- J. Yuan, Research on Autonomous Obstacle Avoidance Technology of UAV Formation Based on Multi-sensor Detection, Nanjing University of Aeronautics and Astronautics (2022) [Google Scholar]
- S. He, Research on Autonomous Obstacle Avoidance Methods for UAVs Based on Multi-Sensors Fusion, Beijing Institute of Technology (2016) [Google Scholar]
- Wang M. Research on Quadrotor UAV Path Planning Optimization Based on Multi- source Information Fusion Technology of Ant Colony Optimization Algorithm, International Conference in Communications, Signal Processing, and Systems, Singapore (2022), 162-170 [Google Scholar]
- S. Nur, Precision without GPS: Multi-Sensor Fusion for Autonomous Drone Navigation in Complex Environments, International Journal of Innovative Research in Computer Science and Technology, 12(6), 34-43 (2024) [Google Scholar]
- K. Yue, Multi-sensor data fusion for autonomous flight of unmanned aerial vehicles in complex flight environments, Drone Systems and Applications, 12, 1-12 (2024) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.