Results 41 to 50 of about 202,379 (215)
Using Deep Networks for Drone Detection
, 2017 Drone detection is the problem of finding the smallest rectangle that encloses the drone(s) in a video sequence. In this study, we propose a solution using an end-to-end object detection model based on convolutional neural networks.
Aker, Cemal, Kalkan, Sinan
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Nonlinear Regression-Based GNSS Multipath Modelling in Deep Urban Area
Mathematics, 2022 As the necessity of location information closely related to everyday life has increased, the use of global navigation satellite systems (GNSS) has gradually increased in populated urban areas.
Yongjun Lee, Byungwoon Park
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Accuracy Assessment on Drone Measured Heights at Different Height Levels [PDF]
, 2017 The advancement in unmanned aerial system (UAS) technology has made it possible to attain an aerial unit, commonly known as a drone, at an affordable price with increasing precision and accuracy in positioning and photographing.
Hung, I-Kuai +3 more
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The Central Intelligence Agency’s armed Remotely Piloted Vehicle-supported counter-insurgency campaign in Pakistan – a mission undermined by unintended consequences? [PDF]
, 2014 This paper views America's 'drones-first' counter-insurgency effort in Pakistan through the lens of Merton's theory of the unintended consequences of purposive action.
Bennett, Simon
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DronesThis paper introduces a drone-based surrogate project aimed at serving as a preliminary educational platform for undergraduate students in the Electrical and Computer Engineering (ECE) fields.
Angel A. Rodriguez +6 more
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Drone Surveys Are More Accurate Than Boat-Based Surveys of Bottlenose Dolphins (Tursiops truncatus)
Drones, 2022 Generating accurate estimates of group sizes or behaviours of cetaceans from boat-based surveys can be challenging because much of their activity occurs below the water surface and observations are distorted by horizontal perspectives.
Ticiana Fettermann +4 more
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3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network
, 2019 This paper deals with the stochastic geometry-based characterization of the time-varying performance of a drone cellular network in which the initial locations of drone base stations (DBSs) are modeled as a Poisson point process (PPP) and each DBS is ...
Banagar, Morteza, Dhillon, Harpreet S.
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MachinesTraditionally, condition monitoring of wind turbines has been performed manually by certified rope teams. This method of inspection can be dangerous for the personnel involved, and the resulting downtime can be expensive.
Zachary Ward +5 more
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An ACO-Inspired, Probabilistic, Greedy Approach to the Drone Traveling Salesman Problem [PDF]
, 2019 In recent years, major companies have done research on using drones for parcel delivery. Research has shown that this can result in significant savings, which has led to the formulation of various truck and drone routing and scheduling optimization ...
Houseknecht, Jessica
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Interworking between Modbus and internet of things platform for industrial services
Digital Communications and NetworksIn the era of rapid development of Internet of Things (IoT), numerous machine-to-machine technologies have been applied to the industrial domain. Due to the divergence of IoT solutions, the industry is faced with a need to apply various technologies for ...
Sherzod Elamanov +5 more
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