• Title/Summary/Keyword: delivery drones

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Study on the current direction of our country in accordance with the basic conditions for the commercialization of the UAV

  • Jo, Jong Deok;Lee, Chang Hee
    • International Journal of Internet, Broadcasting and Communication
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    • v.8 no.4
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    • pp.58-62
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    • 2016
  • Shipping related services is attracting attention as a UAV (Unmanned Aerial Vehicle) application with the recent economy has been generally accepted drones. UAV of the existing military-driven logistics delivery, aerial photography, wireless Internet connection, broadcasting, disaster research, digital maps, transportation, advertising, meteorological, border surveillance, agricultural use, such as hobbies range of uses from up military are diverse and growing. The advantage of delivery drones seems to be an important feature of delivery of the goods, including labor-saving, long-distance transportation in cold weather. UAV is demanded by competitive performance development for commercialization. Privacy issues that may arise during the drone operation, ensuring marketability issues, control system, regulations, operational standards and specifications, etc. should be addressed. Development direction of Korea UAV based in current technology, regulation, and growth potential presented by deriving from the idea of 'GIF 2016 Gang-won Hackathon.

Drone Delivery Service Commercialization Plan Study (드론 택배서비스 실용화 방안 연구)

  • Kang, Ho-Jeung
    • The Korean Journal of Air & Space Law and Policy
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    • v.35 no.2
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    • pp.281-312
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    • 2020
  • Despite the recent economic difficulties, the on-line market is overtaking the off-line market. Since US Amazon CEO Jeff Bezos mentioned that a delivery service using drones is possible, it has been creating new perspectives and values that have never been seen before. Drones are being used in various fields. Among them, the delivery service using drones will be the future growth engine of Korea in cooperation with the 4th industrial revolution. However, as drones are put into practical use, problems such as human life and property damage and personal information protection due to public collisions or falls are expected. The practical use of future drones is inevitable, not optional. As a method for commercialization of drones, first, securing safety through drone use and securing a national certification system, which is the minimum standard system for drone safety, and second, securing various infrastructures by activating drone use, and third, aviation regulations and personal information protection, etc. It needs to be supplemented in terms of laws and regulations.

Communication Network Topology and Performance Evaluation of the Drone Delivery System for Collision Avoidance (충돌회피를 위한 드론택배 시스템의 통신망 토폴로지 및 성능평가)

  • Jo, Jun-Mo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.8
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    • pp.915-920
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    • 2015
  • Recently, many companies try to offer various services using drones. Especially, the drone delivery system is a good example. However, the drone delivery service has some problems since the heavy parcels flies over the people walking down streets, so many things must be considered such as dropping mails by collision of drones. To resolve the problem, in this paper, a inter-drone network communication will be used to design the topology and to simulate in the Opnet simulator for the performance evaluation. Additionally, the topology with random mobility of trajectory of drones is also designed and simulated for the result.

A Precision Positioning Method of Drone Last-mile Delivery Technology in Urban Areas (도심에서의 드론 Last-mile 배송 기술의 정밀 측위 기법)

  • Kim, Kyuseok
    • Journal of Advanced Navigation Technology
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    • v.25 no.1
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    • pp.60-67
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    • 2021
  • Countries around the world, including the U.S. are actively researching to commercialize the logistics services using drones. In Korea, telecommunications companies as well as logistics companies are researching and developing the logistics services using drones. However, there's an environmental difference for last-mile delivery between the U.S. and Korea. In Korea, more than 77% of the population lives in apartments and the population density is the 4th highest in the world. Accordingly, in terms of the logistics services using drones, it is necessary to research it with the Korean suitable environment. In this paper, a precision positioning method of drone last-mile delivery in urban areas using short-range wireless communication and barometer is proposed. The experiment results show that the proposed method can detect a window within 2.5 meters. It is expected that the proposed method will help improve the logistics services using drones in urban areas.

Prediction of the Available Time for the SBAS Navigation of a Drone in Urban Canyon with Various Flight Heights (도심 지역에서의 드론 운용을 위한 비행 고도별 SBAS 보강항법 가용 시간 예측)

  • Seok, Hyo-Jeong;Park, Byung-Woon
    • Journal of Cadastre & Land InformatiX
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    • v.46 no.1
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    • pp.133-148
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    • 2016
  • Voices demanding a revision of the aviation law on the operating drones are continuously rising high with the increase of their applicability in various industry fields. According to the current regulations, drones are permitted to fly under very strict conditions, which include limited places and the line-of-sight visibility from pilots. Because of the strict regulations, it is almost impossible for drones to be used in many industries such as parcel delivery services. To improve the business value of drones, we have to improve the accuracy of drones' positions and provide the proper protection levels in order to detect and avoid any risks including the collisions with the other drones. SBAS(Satellite Based Augmentation System) can support the aviation requirements with the accuracy and integrity so as to reduce the position errors and to calculate the protection levels of drones. In this paper, we assign the flight heights of drones according to the decision heights as per LAAS(Local Area Augmentation System) landing categories and conduct a simulation to predict the SBAS available time of the day.

Implementation and Verification of Artificial Intelligence Drone Delivery System (인공지능 드론 배송 시스템의 구현 및 검증)

  • Sungnam Lee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.19 no.1
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    • pp.33-38
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    • 2024
  • In this paper, we propose the implementation of a drone delivery system using artificial intelligence in a situation where the use of drones is rapidly increasing and human errors are occurring. This system requires the implementation of an accurate control algorithm, assuming that last-mile delivery is delivered to the apartment veranda. To recognize the delivery location, a recognition system using the YOLO algorithm was implemented, and a delivery system was installed on the drone to measure the distance to the object and increase the delivery distance to ensure stable delivery even at long distances. As a result of the experiment, it was confirmed that the recognition system recognized the marker with a match rate of more than 60% at a distance of less than 10m while the drone hovered stably. In addition, the drone carrying a 500g package was able to withstand the torque applied as the rail lengthened, extending to 1.5m and then stably placing the package down on the veranda at the end of the rail.

Designing a Drone Delivery Network for Disaster Response Considering Regional Disaster Vulnerability Index (재난 취약도 지수를 고려한 재난 대응 드론 거점 입지 선정)

  • OkKyung Lim;SangHwa Song
    • The Journal of Bigdata
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    • v.9 no.1
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    • pp.115-126
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    • 2024
  • The scale and cost of disasters are increasing globally, emphasizing the importance of logistics activities in disaster response. A disaster response logistics system must place logistics hub centers in regions relatively safe from disasters and ensure the stable supply of relief goods and emergency medicines to the affected areas. Therefore, this study focuses on locating drone delivery centers that minimize disaster vulnerability when designing a disaster response delivery network. To facilitate the transport of relief supplies via drones, the maximum delivery range of drones is considered and we employed a natural disaster vulnerability index to develop optimization models for selecting drone delivery center locations that minimize disaster vulnerability. The analysis indicates that while the optimization models to minimize disaster vulnerability increase the number of hub investments, these approaches mitigate disaster vulnerability and allows the safe and effective operation of a disaster response logistics system utilizing drone deliveries.

Ground Vehicle and Drone Collaborative Delivery Planning using Genetic Algorithm

  • Song, Kyowon;Moon, Jung-Ho
    • Journal of Aerospace System Engineering
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    • v.14 no.6
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    • pp.1-9
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    • 2020
  • Global e-commerce and delivery companies are actively pursuing last-mile delivery service using drones, and various delivery schedule planning studies have been conducted. In this study, separate individual route networks were constructed to reflect drone route constraints such as prohibited airspace and truck route constraints such as rivers, which previous studies did not incorporate. The A* algorithm was used to calculate the shortest path distance matrix between the starting point and destinations. In addition, we proposed an optimal delivery schedule plan using genetic algorithms and applied it to compare the efficiency with that of vehicle-only delivery.

Utilization of Subway Stations for Drone Logistics Delivery in the Post-Pandemic Era (포스트 팬데믹 시대 드론 물류배송을 위한 지하철 역사의 활용방안)

  • Moon, Sang-Won;Lee, Han-Byeol;Kang, Hoon
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.375-383
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    • 2021
  • Due to COVID-19, people are building new lifestyles such as online shopping, online travel, and video conferencing by limiting going out and gatherings. Such rapid social change is causing new problems and deepening existing problems at the same time. In particular, as online consumption increases significantly, traffic congestion, air pollution, and the heavy workload of delivery drivers are deepening in the daily logistics industry, and face-to-face delivery is emerging as a new problem. With the advent of the 4th industrial revolution, unmanned delivery using drones, artificial intelligence, and autonomous driving is emerging as an alternative to the existing logistics industry. However, space for logistics facilities and securing additional logistics sites due to drone flight are emerging as new problems to be solved. Therefore, it is intended to link additional services such as logistics movement, storage, and delivery by utilizing the existing transportation business, the subway, as a space for a logistics facility for drones that can solve existing problems and new problems.

Study on Utilization Drones in Domestic Logistics Service in Korea (한국내 물류서비스에 드론 활용을 위한 연구)

  • Kang, Ki-Seog;Jeon, In-Oh
    • Journal of Distribution Science
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    • v.14 no.5
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    • pp.51-57
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    • 2016
  • Purpose - In the year of 2015 and 2016, one of the items that got attention in CES was a drone. It has been 100 years since a drone emerged, but most were used for military purposes. As its use became diverse as of 2010, it got attention of the general public. In Korea, it was in 2011 that a drone was known to the public through an aerial video shooting for television program. This study tried to come up with suggestions by comparing domestic with overseas cases, and tried to consider the related technologies and systems with applying the role of drones in logistics service. Research design, data, and methodology - The overseas cases were regarded as drone's logistical purpose. The Prime Air service by US Amazon is still not commercialized and under pre-testing due to Federal Aviation Regulations, although it started in 2013. In Germany, DHL succeeded in delivering service testing which is called Parcelcopter, but it is not commercialized yet. Other than these, there are more attempts to prepare logistics service in China with Taobao, in France with Geopost's test, and in Africa. In Korea, CJ Korea Express tested delivery with a self-developed drone Results - In order to study for utilizing drones for logistics as the prerequisites, some overseas and domestic cases, which are currently considered, were reviewed. Also, the technologies and institutional requirements to commercialize drones for logistical purpose were reviewed. The reasons for using drones in logistics is to ensure the price competitiveness by reducing cost. The empirical test also will be needed because drone pilot areas are designated by ministry of land, infrastructure and transport. Conclusions - In order to utilize drones in logistics and foster the industry, this study would like to suggest the followings. First of all, size of drones for logistics needs to be fixed and their operating system should be standardized. Centralized investment resources are needed through standardization to ensure the market occupancy. Secondly, it is necessary to get the converged businesses that do research, develop and commercialize drones with the investment of private sector. Example can be found in Korea aerospace Industries. We can respond to the rapid growth of the market with intensive investing by integrating the private sector investment. Thirdly, institutional arrangements are needed to be established quickly. In the case of high-technologies like drones, institutional support often does not follow the rapid development of the technology. The problems can be found in securing drones-only airspace, creating drone-specialized pilot's license, matters related to remote controller and complementary regulations for drones in Aviation Act. If these regulations are not prepared or complemented at the right timing, technologies cannot be commercialized even though the development is completed. Fourthly, there is a need to secure the transparency regarding possible privacy and personal information protection problem while operating drones. Finally, in order to foster this new industry, government should focus on supporting R&D more in the long term than short term outcomes.