Extended Kalman Filter-Based Visual Odometry in Dynamic Environments Using Modified 1-Point RANSAC. [PDF]
Lee J, Kang J.
europepmc +1 more source
Onboard Pointing Error Detection and Estimation of Observation Satellite Data Using Extended Kalman Filter. [PDF]
Dhanalakshmi R +6 more
europepmc +1 more source
Use of Sub-System Global Modal Parameterization Models in Extended Kalman Filtering for Online Coupled State/Force Estimation [PDF]
Frank Naets +3 more
openalex
Animal geolocation with convolution algorithms in Julia and R via Wahoo.jl
Abstract Animal geolocation is the core of movement ecology. In aquatic ecosystems, electronic tagging and tracking technologies, such as passive acoustic telemetry systems and biologging sensors, are widely deployed. However, statistical estimation of individual locations from these datasets can be challenging and computationally expensive.
Edward Lavender +2 more
wiley +1 more source
Student's <i>t</i>-Distributed Extended Kalman Filter with Switch Factor for UWB Localization Under Colored Measurement Noise. [PDF]
Xu Y, Yin H, Yang M, Deng L, Sun M.
europepmc +1 more source
State of Charge Estimation of Lithium-Ion Batteries Based on an Adaptive Iterative Extended Kalman Filter for AUVs. [PDF]
Fu Y, Zhai B, Shi Z, Liang J, Peng Z.
europepmc +1 more source
Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use, home ranges and residency.
Edward Lavender +3 more
wiley +1 more source
Research on Multi-Sensor Fusion Localization for Forklift AGV Based on Adaptive Weight Extended Kalman Filter. [PDF]
Wang Q +5 more
europepmc +1 more source
A Novel Fusion Method for State-of-Charge Estimation of Lithium-Ion Batteries Based on Improved Genetic Algorithm BP and Adaptive Extended Kalman Filter. [PDF]
Cao L, Shao C, Zhang Z, Cao S.
europepmc +1 more source
Abstract Capturing the high‐speed behaviour of nocturnal animals remains technically challenging because conventional video systems require intense illumination that disrupts natural activity. Event‐based vision sensors (EVS) overcome this constraint, yet their ecological uptake has been slow owing to a lack of software capable of analysing the sparse,
Yu Teshima +5 more
wiley +1 more source

