Results 41 to 50 of about 568,064 (340)
DeepWindow: Sliding Window Based on Deep Learning for Road Extraction From Remote Sensing Images
The road centerline extraction is the key step of the road network extraction and modeling. The hand-craft feature engineering in the traditional road extraction methods is unstable, which makes the extracted road centerline deviated from the road center
Renbao Lian, Liqin Huang
doaj +1 more source
Analysis of marine conflicts [PDF]
The traffic conflict technique (TCT) is a powerful technique applied in road traffic safety assessment as a surrogate of the traditional accident data analysis. It has subdued the conceptual and implemental weaknesses of the accident statistics. Although
Begoña Martinez de Tejada +7 more
core +3 more sources
A Model-Driven-to-Sample-Driven Method for Rural Road Extraction
Road extraction in rural areas is one of the most fundamental tasks in the practical application of remote sensing. In recent years, sample-driven methods have achieved state-of-the-art performance in road extraction tasks. However, sample-driven methods
Jiguang Dai +4 more
doaj +1 more source
An algorithm for accurate taillight detection at night [PDF]
Vehicle detection is an important process of many advance driver assistance system (ADAS) such as forward collision avoidance, Time to collision (TTC) and Intelligence headlight control (IHC). This paper presents a new algorithm to detect a vehicle ahead
Boonsim, Noppakun, Prakoonwit, Simant
core +2 more sources
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Road extraction from high-resolution remote sensing images has long been a focal and challenging research topic in the field of computer vision. Accurate extraction of road networks holds extensive practical value in various fields, such as urban ...
Ruyi Liu +7 more
doaj +1 more source
Forest/rural road network detection and condition monitoring based on satellite imagery and deep semantic segmentation [PDF]
Sustainable forest and emergency management require comprehensive data on the forest road network and its condition. This paper presents the final framework of the INFOROAD project (https://inforoad.karteco.gr/), which integrates cutting-edge remote ...
D. Kelesakis +8 more
doaj +1 more source
Road Extraction using Deep Learning
The Road extraction from aerial image, stands as a quintessential node for the development of rudimentary layers in innumerable fields. From GIS, to Unmanned Aerial vehicles, road maps pave the foundation for data accumulation. This significant process is a result of number of mechanisms devised over the years through iterative experiments and research.
J. D. Dorathi Jayaseeli +2 more
openaire +2 more sources
Model-based estimation of off-highway road geometry using single-axis LADAR and inertial sensing [PDF]
This paper applies some previously studied extended Kalman filter techniques for planar road geometry estimation to the domain of autonomous navigation of off-highway vehicles.
Cremean, Lars B., Murray, Richard M.
core
Peptide‐based ligand antagonists block a Vibrio cholerae adhesin
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang +9 more
wiley +1 more source

