Results 61 to 70 of about 96,922 (234)
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
Journal of Field Robotics, EarlyView.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
Remote Sensing, 2017 Frozen soil and permafrost affect ecosystem diversity and productivity as well as global energy and water cycles. Although some space-based Radar techniques or ground-based sensors can monitor frozen soil and permafrost variations, there are some ...
Xuerui Wu, Shuanggen Jin, Liang Chang
doaj +1 more source
Using convolutional neural networks to detect GNSS multipath
Frontiers in Robotics and AI, 2023 Global Navigation Satellite System (GNSS) multipath has always been extensively researched as it is one of the hardest error sources to predict and model.
Anthony Guillard +3 more
doaj +1 more source
River Research and Applications, EarlyView.ABSTRACT Knowledge of habitat availability is critically important for the management and recovery of freshwater species. Quantifying habitat availability often requires fine‐scale sampling at point‐based locations across a large geographic extent, which can be laboursome.
Karl A. Lamothe +2 more
wiley +1 more source
A Multipath Analysis of Biswapped Networks [PDF]
The Computer Journal, 2010 Biswapped networks of the form Bsw(G) have recently been proposed as interconnection networks to be implemented as optical transpose interconnection systems. We provide a systematic construction of κ+1 vertex-disjoint paths joining any two distinct vertices in Bsw(G), where κ≥1 is the connectivity of G. In doing so, we obtain an upper bound of max{2Δ(G)
Yonghong Xiang, Iain A. Stewart
openaire +2 more sources
A Post-Processing Multipath/NLoS Bias Estimation Method Based on DBSCAN
SensorsPositioning based on Global Navigation Satellite Systems (GNSSs) in urban environments always suffers from multipath and Non-Line-of-Sight (NLoS) effects. In such conditions, the GNSS pseudorange measurements can be affected by biases disrupting the GNSS-
Yihan Guo +3 more
doaj +1 more source
Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth +4 more
wiley +1 more source
Artificial Bias Induction in Fourth-Order Cumulants Based Automatic Modulation Classification Algorithm in AWGN and Multipath Propagation Channel [PDF]
RadioengineeringAutomatic modulation classification (AMC) represents a wide used technique for modulation format recognition of signals considered to be a priori unknown.
R. Bozovic, V. Orlic, G. Kekovic
doaj
Future InternetIn modern Internet-based communication, especially mobile systems, a mobile node (MN) will commonly have more than one possibility for Internet Protocol (IP) connectivity.
Ryo Yanagida, Saleem Noel Bhatti
doaj +1 more source
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT The integration of low Earth orbit (LEO) satellite constellations with commercial aircraft communication systems presents critical challenges in maintaining continuous connectivity during dynamic flight conditions. Current geostationary satellite systems suffer from high round‐trip latency (>$$ > $$ 500 ms) and inadequate coverage at high ...
Raúl Parada +4 more
wiley +1 more source