Results 1 to 10 of about 4,757,893 (195)

3D Sensors for Sewer Inspection: A Quantitative Review and Analysis

open access: yesSensors, 2021
Automating inspection of critical infrastructure such as sewer systems will help utilities optimize maintenance and replacement schedules. The current inspection process consists of manual reviews of video as an operator controls a sewer inspection ...
Chris H. Bahnsen   +5 more
doaj   +1 more source

Interactive 3-D visual analysis of ERA5 data: improving diagnostic indices for marine cold air outbreaks and polar lows [PDF]

open access: yesWeather and Climate Dynamics, 2021
Recent advances in visual data analysis are well suited to gain insights into dynamical processes in the atmosphere. We apply novel methods for three-dimensional (3-D) interactive visual data analysis to investigate marine cold air outbreaks (MCAOs) and ...
M. Meyer   +11 more
doaj   +1 more source

From CAD Models to Soft Point Cloud Labels: An Automatic Annotation Pipeline for Cheaply Supervised 3D Semantic Segmentation

open access: yesRemote Sensing, 2023
We propose a fully automatic annotation scheme that takes a raw 3D point cloud with a set of fitted CAD models as input and outputs convincing point-wise labels that can be used as cheap training data for point cloud segmentation.
Galadrielle Humblot-Renaux   +2 more
doaj   +1 more source

Assessment of residential settlement planning in Medina, based on climate adaptability [PDF]

open access: yesE3S Web of Conferences, 2023
The theme of World Habitat Day 2020 was Housing for All: “A Better Urban Future”. In light of this postulate, this study aims to determine the climate response of traditional urban morphology to the Sousse climate, which allows us to assess the ...
Benzarti ep Ghedas Habiba   +2 more
doaj   +1 more source

Imitating Emergencies: Generating Thermal Surveillance Fall Data Using Low-Cost Human-like Dolls

open access: yesSensors, 2022
Outdoor fall detection, in the context of accidents, such as falling from heights or in water, is a research area that has not received as much attention as other automated surveillance areas. Gathering sufficient data for developing deep-learning models
Ivan Nikolov   +2 more
doaj   +1 more source

A Visual Analysis Method for Predicting Material Properties Based on Uncertainty

open access: yesApplied Sciences, 2023
The traditional way of studying fluorinated materials by adjusting parameters throughout multiple trials can no longer meet the needs of the processing and analysis of multi-source, heterogeneous, and numerous complex data.
Qikai Chu   +4 more
doaj   +1 more source

Real‐world super‐resolution of face‐images from surveillance cameras

open access: yesIET Image Processing, 2022
Most existing face image Super‐Resolution (SR) methods assume that the Low‐Resolution (LR) images were artificially downsampled from High‐Resolution (HR) images with bicubic interpolation.
Andreas Aakerberg   +2 more
doaj   +1 more source

Who Cares about the Weather? Inferring Weather Conditions for Weather-Aware Object Detection in Thermal Images

open access: yesApplied Sciences, 2023
Deployments of real-world object detection systems often experience a degradation in performance over time due to concept drift. Systems that leverage thermal cameras are especially susceptible because the respective thermal signatures of objects and ...
Anders Skaarup Johansen   +3 more
doaj   +1 more source

Finding Nemo’s Giant Cousin: Keypoint Matching for Robust Re-Identification of Giant Sunfish

open access: yesJournal of Marine Science and Engineering, 2023
The Giant Sunfish (Mola alexandrini) has unique patterns on its body, which allow for individual identification. By continuously gathering and matching images, it is possible to monitor and track individuals across location and time.
Malte Pedersen   +2 more
doaj   +1 more source

The Challenge of Data Annotation in Deep Learning—A Case Study on Whole Plant Corn Silage

open access: yesSensors, 2022
Recent advances in computer vision are primarily driven by the usage of deep learning, which is known to require large amounts of data, and creating datasets for this purpose is not a trivial task.
Christoffer Bøgelund Rasmussen   +2 more
doaj   +1 more source

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