Mapping radiation distribution on ground based on the measurement using an unmanned aerial vehicle

Zhang, Shuangyue; Liu, Ruirui; Zhao, Tianyu

doi:10.1016/j.jenvrad.2018.08.016

Cited by 15 publications

(15 citation statements)

References 7 publications

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“…The use of UAV in this area was intended to eliminate the health risk of personnel performing radiation mapping activities and thus to eliminate risks in the area of public health. [24] Researchers analysing the appropriateness of using drones in the area of distribution of medicinal products and medical devices indicated that drones could be potentially reliable platforms for the provision of medical microbiological and laboratory samples, pharmaceuticals, vaccines and medical equipment. [25] The use was also highlighted by researchers who, according to them, UAV play an extremely important role in search and rescue missions, the field of combat medicine [26] and tactical medicine, [27] as well as filling gaps between the third world's health systems and their western counterparts, and between major metropolitan centres and remote rural communities.…”

Section: Use Of Uavs In Medical Transportmentioning

confidence: 99%

U-Space and UTM Deployment as an Opportunity for More Complex UAV Operations Including UAV Medical Transport

Kotliński

Calkowska

2022

J Intell Robot Syst

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Unmanned Aerial Vehicles (UAVs) or Unmanned Aircraft Systems (UASs) commonly called drones are relatively new entrants to the airspace. The regulatory agencies, numerous States and entities are involved in creation of the safe integration with manned aviation. The so-called U-space concept announced by the European Commission is one of the approaches to achieve that goal. There is also known concept of Unmanned Traffic Management (UTM) – a tool which would enable the services needed for safe conduct of UAV flights in generally accessible airspace. There are quite a few European projects which focuses on testing UTM capabilities in order to find a solution which could enable the market and ensure safe UAV operations. One of those systems is PansaUTM – which was developed in order to coordinate drone flights in different types of airspace in Poland. The first part of the paper will present an example of the implementation of this system as a foundation for new possible applications of drones and increasing number of operations. The conclusion of the first part of the article is that, in line rapid growth of UAS flights and different applications of drone services, the European drone ecosystem should evolve even further to deploy very complex drone operations in scalable manner. In order to accommodate unmanned air taxi operations, cargo flights, medical cargo flights, automatic surveillance flights, etc. Europe is preparing towards deployment of Advanced Air Mobility (AAM). The second part of the text indicate the possibility of extensive use of drones in medical logistics as well as minimizing the epidemiological risk as a result of the use of this mean of transport. At the same time, it should be stressed out that the medical transport using drones can be used in urgent situations, where the main variable that has an impact on the success of life and health saving is the breaking of barriers to reaching difficult-to-reach places. In addition, the development of transport using drones can have a lasting impact on improving the quality of life of chronically ill patients who experience severe disease recurrence and thus on the need to implement emergency prevention or treatment measures. The second part of the article focuses as well on the U-space concept as an opportunity for UAVs to be widely used in the field of day-to-day supplies as well as health-related supplies. In the context of the spread of SARS-CoV-2 virus, drones may be used to provide diagnostic screening tests, medicinal products and septic materials, transport of samples of biological material, as well as an information campaign on how to deal with an epidemic, quarantine or isolation at home. The use of UAV for medical supplies is economically and legally justified. The U-space environment from the operational and regulatory side is a multidisciplinary approach that requires the interaction of aviation, law, medicine, robotics, mechatronics and engineering experts. The legal framework for the development of U-space shou...

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Section: Use Of Uavs In Medical Transportmentioning

confidence: 99%

U-Space and UTM Deployment as an Opportunity for More Complex UAV Operations Including UAV Medical Transport

Kotliński

Calkowska

2022

J Intell Robot Syst

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“…When analyzing the available publications, it should be emphasized that the feasibility of UAV use in the area of broadly understood human health has been researched in the aspect of radioactive radiation distribution and contamination mapping [...]. The use of UAVs in this area was aimed at eliminating risk for personnel performing radiation mapping activities, and thus eliminating the risk in the area of public health [32]. Researchers analyzing the legitimacy of the use of drones in the area of distribution of medicinal products and medical devices argue that drones can potentially be highly reliable platforms for the delivery of medical microbiological and laboratory samples, pharmaceuticals, vaccines and medical equipment [33].…”

Section: Is It Possible To Use Drones In Healthcarementioning

confidence: 99%

The Use of Drones in the Area of Minimizing Health Risk during the COVID-19 Epidemic

Król-Całkowska

Walczak

2022

J Intell Robot Syst

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Despite their general availability, drones are not currently widely used in emergency medicine, distribution of medication and other medical products, as well as in epidemiological emergencies, in which limiting interpersonal contact is crucial for minimizing the public health risk. Given the current epidemiological situation, it is pertinent to consider, whether implementing activities with the use of drones can significantly contribute to minimizing health risks, and whether such initiatives are acceptable in the light of applicable legal regulations. The main objective is supported by an analysis of the usefulness of applicable provisions, indicating the direction of possible changes in existing legal regulations. Additionally, the article aims to demonstrate the feasibility of drone use in activities related to combating epidemics, as well as to emphasize their practical importance. Reports on the commercial use of drones in the distribution of goods and services have also been used as material for comprehensive analysis. Simultaneously, the article also includes data on quantities of equipment available to healthcare units in Poland for saving life and health. The present work uses the method of analysis of applicable legal regulations, as a criterion for the usefulness of existing solutions in the area of improving the quality of medical services, including preventive measures and combating the effects of an epidemic.

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“…American courier enterprises Instacart and Postmates have introduced the concept of “contactless delivery.” Instacart, a San Francisco-based enterprise, has started a small “entry point” delivery business. Many people like this service, so the platform decides to expand this service to North America [ 4 ]. Currently, most of the research on unmanned car delivery focuses on three aspects.…”

Section: Introductionmentioning

confidence: 99%

Application and Communication Optimization Technology of Unmanned Distribution Car under Deep Learning in Logistics Express of COVID-19

Song

Luan

2022

Computational Intelligence and Neuroscience

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This work aims to solve the problem that the daily necessities of urban residents cannot be delivered during coronavirus disease 2019 (COVID-19), thereby reducing the possibility of the delivery personnel contracting COVID-19 due to the need to transport medicines to the hospital during the epidemic. Firstly, this work studies the application and communication optimization technology of unmanned delivery cars based on deep learning (DL) under COVID-19. Secondly, a route planning method for unmanned delivery cars based on the DL method is proposed under the influence of factors such as maximum flight time, load, and road conditions. This work analyzes and introduces unmanned delivery cars from four aspects combined with the actual operation of unmanned delivery cars and related literature: the characteristics, delivery mode, economy, and limitations of unmanned delivery cars. The unmanned delivery car is in the promotion stage. A basic AVRPTW model is established that minimizes the total delivery cost without considering the charging behavior under the restriction of some routes, delivery time, load, and other factors. The path optimization problem of unmanned delivery cars in various situations is considered. A multiobjective optimization model of the unmanned delivery car in the charging/swap mode is established with the goal of minimizing the total delivery cost and maximizing customer satisfaction under the premise of meeting the car driving requirements. An improved genetic algorithm is designed to solve the established model. Finally, the model is tested, and its results are analyzed. The effectiveness of this route planning method is proved through case analysis. Customer satisfaction, delivery time, cost input, and other aspects have been greatly improved through the improvement and optimization of the unmanned delivery car line, which has been well applied in practice. In addition, unmanned delivery cars are affected by many factors such as load, and the service time required for delivery is longer. Therefore, this work chooses an unmanned distribution car with strong endurance to improve distribution efficiency. The new hospital contactless distribution mode discussed here will play an important role in promoting future development.

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Mapping radiation distribution on ground based on the measurement using an unmanned aerial vehicle

Cited by 15 publications

References 7 publications

U-Space and UTM Deployment as an Opportunity for More Complex UAV Operations Including UAV Medical Transport

U-Space and UTM Deployment as an Opportunity for More Complex UAV Operations Including UAV Medical Transport

The Use of Drones in the Area of Minimizing Health Risk during the COVID-19 Epidemic

Application and Communication Optimization Technology of Unmanned Distribution Car under Deep Learning in Logistics Express of COVID-19

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