• Electronics and Telecommunications Trends
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• v.35 no.1
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• pp.71-79
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• 2020

Since Amazon announced plans to deliver goods to customers using drones, many countries and companies have become interested in drone logistics delivery services and have begun testing drone delivery for various goods based on service scenarios. Whenever there is news of a successful drone delivery anywhere in the world, people increasingly expect the delivery of goods through drones. Although delivery services using drones are currently in a trial-and-error stage, given technical limitations and institutional and social constraints, a complete shift to drone logistics delivery is not yet possible. In anticipation of the drone logistics delivery service, recent drone delivery tests, current service trends, and requirements for drone delivery service will be examined.

• Electronics and Telecommunications Trends
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• v.33 no.4
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• pp.70-80
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• 2018

Drones are now widely used in civilian applications such as filming, leisure, agricultural control, monitoring, and the generation of 3D-spatial information, deviating only from military drones. In the field of logistics, prototypes are emerging in the area of logistics transportation, and to develop a future transportation service under the name of a drone tax, each country is introducing its first flight results using its own unique drones. In this paper, we review the domestic and overseas trends of drone delivery service technology, which requires various capabilities such as automatic flight, and review the related core technologies. We then propose the flight capability and road map of a drone delivery service according to the detailed conditions such as the flight area, visibility, and flight method. Additionally, in connection with the postal processing of the Korea Post Office, which would be a main demand for this type of service, we describe a method for realizing a drone delivery service based on the structure, scenario, and deployment of the drone delivery system.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.175-184
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• 2022

This study investigates the impact of COVID-19 anxiety on dietary lifestyle and the effect of different dietary lifestyle on the intention to use drone food delivery services. A questionnaire survey was conducted among 356 Chinese consumers aware of drone food delivery services. Results show that First, COVID-19 anxiety significantly impacted dietary lifestyle, including health pursuit, safety pursuit, and convenience pursuit. Second, the dietary lifestyle of health pursuit, fashion pursuit, and convenience pursuit positively affected service perceptions, including perceived safety and perceived rapidity, perceived compatibility. The dietary lifestyle of taste pursuit positively associated with safety of drone food delivery service, while the dietary lifestyle of safety pursuit positively related to safety and rapidity of drone food delivery services. Third, the perceptions related to security, rapidity, and compatibility of drone food delivery services enhanced service usage intention. Results show that COVID-19 anxiety was positively associated with dietary lifestyle, influencing consumer attitudes toward drone food delivery services.

• Journal of Convergence for Information Technology
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• v.8 no.5
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• pp.243-249
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• 2018

This study is to verify the accommodation attitudes and intention of use of the end-users to use the drone distribution delivery service that is to be introduced in Korea. For a research purpose, the research model and hypothesis in this study have been set based on by using the SPSS 22.0. Upon these, the extended technology acceptance model has been used to verify the correlation service of new technology, and the result has shown that the user of drone distribution delivery service has a causal relationship with individual innovation and that the accommodation behavior and intention of use have a causal relationship with economic efficiency and convenience. However, there was no causal relation from a perceived risk. Hence, based on the results of study about accommodation behaviors and intention of use of the end users of drone distribution delivery service, the marketing implications have been provided for commercialization of drone delivery service.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.176-189
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• 2024

Vertical takeoff and landing (VTOL) is a core feature of unmanned aerial vehicles (UAVs), which are commonly referred to as drones. In emerging smart logistics, drones are expected to play an increasingly important role as mobile platforms. Therefore, research on last-mile delivery using drones is on the rise. There is a growing trend toward providing drone delivery services, particularly among retailers that handle small and lightweight items. However, there is still a lack of research on a structural definition of the VTOL drone flight model for multi-point delivery service. This paper describes a VTOL drone flight route structure for a multi-drone delivery service using rotary-wing type VTOL drones. First, we briefly explore the factors to be considered when providing drone delivery services. Second, a VTOL drone flight route model is introduced using the idea of the nested graph. Based on the proposed model, we describe various time-related attributes for delivery services using drones and present corresponding calculation methods. Additionally, as an application of the drone route model and the time attributes, we comprehensively describe a simple example of the multi-drone delivery for first-come-first-served (FCFS) services.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.3
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• pp.204-209
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• 2016

In this paper, an unmanned delivery service using drone was proposed and verified the feasibility. The multicopter has GPS for autopilot and a camera for remote control by human operator. The gripper for manipulation of delivery object was designed and evaluated. The multicopter flies to a given position automatically based on GPS, and approaches to the prepared delivery desk by remote control of human operator using the received image from the multicopter. GPS sensor verification and experimental PID tuning were performed to ensure the flight stability. The flight tests were carried out to verify the feasibility of delivery service.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.168-170
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• 2016

Drone package delivery routing problem is realistic problem used to find efficient route of drone package delivery service. In this paper, we present an approach for solving drone routing problem for package delivery service using two different heuristics algorithms, genetic and nearest neighbor. We implement and analyze both heuristics algorithms for solving the problem efficiently with respect to cost and time. The respective experimental results show that for the range of customers 10 to 50 nearest neighbor and genetic algorithms can reduce the tour length on average by 34% and 40% respectively comparing to FIFO algorithm.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.160-167
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• 2023

This study focuses on the development of a Last-Mile delivery service using unmanned vehicles to deliver goods directly to the end consumer utilizing drones to perform autonomous delivery missions and an image-based precision landing algorithm for handoff to a robot in an intermediate facility. As the logistics market continues to grow rapidly, parcel volumes increase exponentially each year. However, due to low delivery fees, the workload of delivery personnel is increasing, resulting in a decrease in the quality of delivery services. To address this issue, the research team conducted a study on a Last-Mile delivery service using unmanned vehicles and conducted research on the necessary technologies for drone-based goods transportation in this paper. The flight scenario begins with the drone carrying the goods from a pickup location to the rooftop of a building where the final delivery destination is located. There is a handoff facility on the rooftop of the building, and a marker on the roof must be accurately landed upon. The mission is complete once the goods are delivered and the drone returns to its original location. The research team developed a mission planning algorithm to perform the above scenario automatically and constructed an algorithm to recognize the marker through a camera sensor and achieve a precision landing. The performance of the developed system has been verified through multiple trial operations within ETRI.

• 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.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.4
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• pp.141-150
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• 2023

Currently, various companies are actively participating in research and development of drone delivery services. Existing studies do not comprehensively provide integrated functions for future drone delivery services such as mission automation, customer verification, and overcoming performance limitations, which can lead to high manpower demand, reduced user service trust, and potentially overloading low-end devices. Therefore, this study proposes a drone mission automation system (DMAS) using EdgeCPS technology to provide the three aforementioned functions in an integrated manner. Real-world experiments were conducted to evaluate the proposed system, demonstrating that the DMAS components operate according to the specified roles in the delivery scenario. In addition, the system achieved user verification with a similarity of more than 90% in the process of receiving the product, and verified a faster inference speed and a lower resource share than the existing method.