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Published in 2021 at "Ecology and Evolution"
DOI: 10.1002/ece3.7518
Abstract: Abstract Drones and machine learning‐based automated detection methods are being used by ecologists to conduct wildlife surveys with increasing frequency. When traditional survey methods have been evaluated, a range of factors have been found to…
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Keywords:
detection;
ground;
drone;
automated detection ... See more keywords
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Published in 2022 at "Ecology and Evolution"
DOI: 10.1002/ece3.8891
Abstract: Abstract Measurement of variation in plant biomass is essential for answering many ecological and evolutionary questions. Quantitative estimates require plant destruction for laboratory analyses, while field studies use allometric approaches based on simple measurement of…
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Keywords:
plant biomass;
biomass;
dimension measurements;
drone ... See more keywords
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Published in 2018 at "Networks"
DOI: 10.1002/net.21864
Abstract: A promising new delivery model involves the use of a delivery truck that collaborates with a drone to make deliveries. Effectively combining a truck and a drone gives rise to a new planning problem that…
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Keywords:
drone;
salesman problem;
traveling salesman;
problem drone ... See more keywords
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Published in 2022 at "Networks"
DOI: 10.1002/net.22087
Abstract: In recent years, the usage of drones in last‐mile logistics has stirred great interest in the operations research community. Many papers have considered schemes of hybrid truck‐and‐drone delivery. In this paper, we focus on the…
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Keywords:
routing problem;
multivisit drone;
drone routing;
drone ... See more keywords
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Published in 2020 at "Journal of Field Robotics"
DOI: 10.1002/rob.21956
Abstract: Drone racing is becoming a popular e‐sport all over the world, and beating the best human drone race pilots has quickly become a new major challenge for artificial intelligence and robotics. In this paper, we…
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Keywords:
drone;
autonomous racing;
model predictive;
visual model ... See more keywords
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Published in 2025 at "Journal of Field Robotics"
DOI: 10.1002/rob.70112
Abstract: This paper describes the design, development, and real‐world testing of an autonomous drone for subterranean exploration, known as “Prometheus.” Driven by requirements from industry that the drone be able to be deployed through areas of…
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Keywords:
prometheus;
drone;
subterranean mine;
mine inspection ... See more keywords
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Published in 2024 at "Remote Sensing in Ecology and Conservation"
DOI: 10.1002/rse2.424
Abstract: Drones are being increasingly used to monitor wildlife populations; their large spatial coverage and minimal disturbance make them ideal for use in remote environments where access and time are limited. The methods used to count…
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Keywords:
dsm based;
satellite imagery;
drone;
population ... See more keywords
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Published in 2025 at "Wildlife Biology"
DOI: 10.1002/wlb3.01456
Abstract: Drones equipped with thermal infrared (TIR) cameras offer significant time and labor savings in estimating wild ungulate populations. However, accurately monitoring forest‐dwelling ungulates remains challenging due to their elusive behavior and complex habitat. This study…
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Keywords:
orthomosaic maps;
drone;
tir orthomosaic;
seasonal variations ... See more keywords
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Published in 2025 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-025-14814-9
Abstract: Effective monitoring for stream habitat health is essential for sustainable restoration and management to conserve ecosystem services. Traditional in situ surveying with multi-metric indices is widely used by state and federal agencies but is often…
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Keywords:
habitat health;
drone;
stream habitat;
monitoring ... See more keywords
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Published in 2021 at "Experimental Mechanics"
DOI: 10.1007/s11340-021-00710-z
Abstract: Digital Image Correlation (DIC) is widely used for remote and non-destructive structural health evaluation of infrastructure. Current DIC applications are limited to relatively small areas of structures and require the use of stationary stereo vision…
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Keywords:
system;
stereodic system;
development;
drone ... See more keywords
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Published in 2025 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-025-01675-1
Abstract: In the pursuit of effective real-time video transmission for First-Person View (FPV) drone systems, optimizing the encoding process is paramount. Traditional encoding methods, reliant on pre-encoding demosaicking, often fall short in balancing the trade-off between…
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Keywords:
first person;
video;
real time;
drone ... See more keywords