This study investigates the implementation of collaborative route planning between trucks and drones within rural logistics to improve distribution efficiency and service quality. The paper commences with an analysis of the unique characteristics and challenges inherent in rural logistics, emphasizing the limi...
1.3Outline of the paper The sections are arranged in the following manner: Section2gives an outline of the pertinent investigations on security vulnerabilities. Section3discusses the overview of UAVs and FANET. Section4presents the related work and their comparison with this survey. The research metho...
In this paper, we fit the aerial counts on the N-mixture model for estimating the abundance of the elephant. For clarity, we start by describing the notations for the model. Let\({n}_{jt}\)be the number of unique individuals detected at location\(j\)at time\(t\)for sampling occasion...
This paper deals with the problem of delivering low-weight orders to a set of customer locations using multiple drones that operate in conjunction with public transportations. Therefore, it allows drones to deliver packages more efficiently, which the majority of them are within the payload capacity....
However, no such application is presented in the paper. A drone-borne instrumentation for multiple applications was also presented by Camarillo-Escobedo et al. [150]. The DJI Mavic Air 2 UAV was equipped with meteorological and gas (NO2, NH3, CO, SO2), and particulate sensors ( PM10 and ...
An introduction to the subject and a comparison of drone detection and tracking techniques is given in the 2018 paper [7]. It highlights as open research the use of fusion techniques to exploit data from multiple sensors, and the development of effective machine learning techniques for detection,...
This repository contains the code used in the following paper: The talk can be watched on Youtube:http://youtu.be/xS0lyL_0OAM The slides are available here:http://viennot.com/playdrone-slides.pdf The paper can be downloaded here:http://viennot.com/playdrone.pdf ...
2 code implementations. Autonomous drone racing is a challenging research problem at the intersection of computer vision, planning, state estimation, and control. We introduce AirSim Drone Racing Lab, a simulation framework for enabling fast prototyping
Research data for this article Open Data for download under the CC BY licence Supplementary Data S1 (PDF, 345KB) Supplementary Raw Research Data. This is open data under the CC BY license http://creativecommons.org/licenses/by/4.0/Download dataFurther information on research dataReferences...
Human activity recognition (HAR) using drone-mounted cameras has attractedconsiderable interest from the computer vision research community in recentyears. A robust and efficient HAR system has a pivotal role in fields likevideo surveillance, crowd behavior analysis, sports analysis, andhuman-computer ...