Research on multisensor fusion UAV sensing strategy based on forest information collection

Kang Du; Dalei Song

doi:10.1117/12.3034896

11 July 2024 Research on multisensor fusion UAV sensing strategy based on forest information collection

Kang Du, Dalei Song

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 1321027 (2024) https://doi.org/10.1117/12.3034896
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

In today's information society, the importance of collecting data through multiple channels continues to increase. Among them, the use of drones to collect information on large-area forests is in line with the modern green development concept. In actual drone collection tasks, it is crucial to ensure the accuracy of collected data and the safe flight of the drone. In order to deal with these challenges, a multi-sensor fusion algorithm based on Bayesian estimation is proposed to overcome the problems of insufficient data accuracy of a single sensor and data duplication and noise caused by simple fusion of multiple sensors. At the same time, considering the actual need for path planning without a global map when flying over a large area in the woods, a local grid mapping strategy based on sliding windows is proposed, that is, a moving map is established with the drone body as the map center to ensure the maintenance of a fixed map size. This strategy effectively reduces the memory usage problem and is consistent with the actual scenario of large-scale outdoor flight.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kang Du and Dalei Song "Research on multisensor fusion UAV sensing strategy based on forest information collection", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 1321027 (11 July 2024); https://doi.org/10.1117/12.3034896

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