Results 241 to 250 of about 75,448 (316)
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
Abstract In Low Earth Orbit (LEO), atmospheric drag is the dominant source of trajectory prediction error below approximately 700 km altitude, primarily due to inaccuracies in thermospheric density models. This work presents a method for temporally deconvolving Energy Dissipation Rates (EDRs) to produce single‐satellite density estimates, which can be ...
S. Mutschler +6 more
wiley +1 more source
An Improved Variational Bayesian-Based Adaptive Federated Kalman Filter for Multi-Sensor Integrated Navigation Systems. [PDF]
Yan Y, Yang J.
europepmc +1 more source
Abstract The concentrations of particulate organic carbon (POC) in the ocean are the result of a dynamic balance between multiple sources and sinks. Here, measurements of POC concentration in the small size fraction (SSF; 1–5 μm ${\upmu }\mathrm{m}$) and the large size fraction (LSF; >5μm ${ >} 5\ {\upmu }\mathrm{m}$) from the North Atlantic EXport ...
Daniel J. Clements +5 more
wiley +1 more source
Diphtheria transmission prediction by extended Kalman filter. [PDF]
Ghani M.
europepmc +1 more source
Abstract We investigate Ionosphere‐Thermosphere (IT) responses to the March 2023 geomagnetic storm using GOLD and PFISR observations, along with TIEGCM simulations driven by data‐assimilated aurora and electric fields. A Lattice Kriging approach is implemented to assimilate auroral electron flux and characteristic energy from ground‐based (THEMIS/ASIs)
Prakash Poudel, Xian Lu
wiley +1 more source
Adaptive Kalman Filter-Based UWB Location Tracking with Optimized DS-TWR in Workshop Non-Line-of-Sight Environments. [PDF]
Wu J, Xiong Y, Li W, Xia W.
europepmc +1 more source
Abstract Data assimilation (DA) plays a critical role in reducing simulation uncertainty in hydrological systems by leveraging available observations to estimate model states and/or parameters. Among DA methods, the ensemble smoother (ES) has emerged as an attractive option for parameter estimation due to its computational efficiency and ...
Jiangjiang Zhang +4 more
wiley +1 more source
Real time estimation of battery SOC and autonomous charging strategy for dynamic energy storage charging robot with extended Kalman filter. [PDF]
Zhou Y +9 more
europepmc +1 more source

