Cargando…
A Loosely Coupled Extended Kalman Filter Algorithm for Agricultural Scene-Based Multi-Sensor Fusion
With the arrival of aging society and the development of modern agriculture, the use of agricultural robots for large-scale agricultural production activities will become a major trend in the future. Therefore, it is necessary to develop suitable robots and autonomous navigation technology for agric...
Autores principales: | Lv, Meibo, Wei, Hairui, Fu, Xinyu, Wang, Wuwei, Zhou, Daming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082075/ https://www.ncbi.nlm.nih.gov/pubmed/35548311 http://dx.doi.org/10.3389/fpls.2022.849260 |
Ejemplares similares
-
An Extended Kalman Filter-Based Attitude Tracking Algorithm for Star Sensors
por: Li, Jian, et al.
Publicado: (2017) -
UWB/Binocular VO Fusion Algorithm Based on Adaptive Kalman Filter
por: Zeng, Qingxi, et al.
Publicado: (2019) -
Leaf and Stem-Based Dew Detection Algorithm via Multi-Convolutional Edge Detection Networks
por: Lv, Meibo, et al.
Publicado: (2022) -
Extended Kalman filter algorithm for non-roughness and moving damage identification
por: Ding, Hong-li, et al.
Publicado: (2022) -
Fusion Based on Visible Light Positioning and Inertial Navigation Using Extended Kalman Filters
por: Li, Zhitian, et al.
Publicado: (2017)