Results 41 to 50 of about 9,363 (210)
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand +4 more
wiley +1 more source
With the increase in the number of Global Navigation Satellite System (GNSS) satellites and their operating frequencies, richer observation data are provided for the tightly coupled Global Navigation Satellite System/Inertial Navigation System (GNSS/INS).
Xuyang Yu, Zhiming Guo, Liaoni Wu
doaj +1 more source
An Optimal Tropospheric Tomography Method Based on the Multi-GNSS Observations
Aside from the well-known applications (positioning, navigation and timing) brought by Global Navigation Satellite System (GNSS), reconstruction of tropospheric atmosphere distribution information using tomography technique based on the multi-GNSS ...
Qingzhi Zhao +4 more
doaj +1 more source
Special Issue on GNSS Data Processing and Navigation
Global Navigation Satellite System (GNSS) data can be used in a myriad of ways. The current number of applications exceed by far those originally GNSS was designed for.
Adria Rovira-Garcia +1 more
doaj +1 more source
Global Navigation Satellite System (GNSS) is space-based systems for positioning, navigation and timing. Non-GNSS sources are aiding to maintain accuracy of system states including positioning, velocity, acceleration, attitude and angular rate essential ...
Chanachon Paijitprapaporn +2 more
doaj +1 more source
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity +8 more
wiley +1 more source
A Multi-Sensor Tight Fusion Method Designed for Vehicle Navigation
Using the Global Navigation Satellite System (GNSS), it is difficult to provide continuous and reliable position service for vehicle navigation in complex urban environments, due to the natural vulnerability of the GNSS signal. With the rapid development
Qifeng Lai +5 more
doaj +1 more source
Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel +2 more
wiley +1 more source
In this paper, we present the implementation of the acquisition algorithm of a versatile Global Navigation Satellite System (GNSS) receiver for satellite applications. For versatility purpose, the choice of the receiver algorithms has been motivated by 1) their capability to fulfill the application requirements with a moderate complexity, 2) their ...
Arnaud Dion +3 more
openaire +2 more sources
Tracking Post‐Consumer Packaging Plastics With Global Positioning Systems: Pilot Study in Malaysia
ABSTRACT Landfilling and the mismanagement of packaging plastic waste pose significant challenges in developing countries, especially in Southeast Asia. There is an empirical gap in plastic waste management data, which is largely handled by informal players despite established municipal solid waste collection systems.
Shafeeq Ahmed Syed Ali +4 more
wiley +1 more source

