• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.5
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• pp.168-185
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• 2024

Autonomous driving technologies have entered the initial stage of commercialization. Recently, mobility services that combine autonomous driving technologies and information and communication technologies based intelligent transportation systems are being actively developed. This study develops a global path planning system that considers traffic information and user demands to generate the shortest time paths for autonomous delivery services using Mixed Integer Programming. While providing the autonomous delivery services, the generated paths are updated recursively according to traffic information updates or additional demands. The developed global path planning system was verified by simulations with traffic information in the Sangam autonomous driving test-bed, and comparative analysis with existing manned delivery services shows that operating costs, product delivery time, and empty driving time were reduced.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.27-54
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• 2021

This study examines the overall contents of robots, drones, and autonomous driving that can be applied to libraries among autonomous objects, and proposes a plan that can be introduced and applied to libraries in the future based on this. As a result of the study, in the case of the building, robots and drones can be used to apply from collection inspection, collection transport, collection arrangement, collection classification, book location guidance, book recommendation, loan/return, library general guidance, and reference information service. Outside of the building, robots, drones, and autonomous vehicles can be used for book delivery service, book return service, and unmanned mobile libraries. This study is a basic research for the introduction and application of autonomous objects in the library, and follow-up studies such as perception survey and application model development for systematic introduction should be conducted in the future.

• Annual Conference of KIPS
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• 2015.04a
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• pp.760-761
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• 2015

최근에는 아마존 등 해외 배송업체들이 무인항공기(UAV)를 이용한 배송 서비스를 발표하면서 UAV에 관한 관심이 증폭되고 있다. 일반적으로 UAV는 실외에서 GPS 기반으로 이동한다. 하지만, GPS는 오차 법위가 크고 실내에서는 사용하지 못하는 문제가 있다. UAV의 활용을 높이기 위해서는 UAV를 세밀하게 제어하는 방법과 비행 이동을 자율적으로 제어할 때 발생하는 위치의 오차를 보정하는 방법이 필요하다. 위치 오차는 UAV가 비행할 때 부는 바람 등의 이유로 발생한다. 이 논문에서는 UAV의 움직임을 사전에 측정하고 분석한다. 그리고 현재의 위치 오차를 예측하고 보정할 수 있는 방법을 제안한다. 제안한 방법은 Parrot사의 AR.Drone 2.0에 적용해서 처리되는 과정을 소개한다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.107-114
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• 2022

In this paper, proposes a delivery robot that can be autonomous driving learning. The proposed robot is designed to be used in park-type apartments without ground parking facilities. Compared to the existing apartments with complex ground and underground routes, park-type apartments have a standardized movement path, allowing the robot to run stably, making it suitable for students' initial education environment. The delivery robot is configured to enable delivery of parcels through machine learning technology for route learning and autonomous driving using cameras and LiDAR sensors. In addition, the control MCU was designed by separating it into three parts to enable learning by level, and it was confirmed that it can be used as a delivery robot for learning through operation tests such as autonomous driving and obstacle recognition. In the future, we plan to develop it into an educational delivery robot for various delivery services by linking with the precision indoor location information recognition technology and the public technology platform of the apartment.

• 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.

• CRM연구
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• v.1 no.1
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• pp.71-85
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• 2006

인터넷 웹사이트를 통한 개인정보의 대량 유통, 상품배송기관을 통한 개인정보의 유출, 명의도용, 신용정보유출 등의 정보프라이버시 침해의 사례가 많이 발표되면서, 개인정보의 적절한 이용과 정보 프라이버시(Information Privacy)의 보호에 대한 관심이 날로 높아져가고 있다. 이러한 사회 현상과 시민의 관심을 반영하여 개인정보 보호를 위한 다양한 법률과 제도가 최근에 검토되고 있다. 이 연구에서는 이름, 전화번호, 주소, 전자우편주소 등 비교적 민감하지 않은 개인정보를 기업의 마케팅이나 홍보에 이용하는 경우의 좁은 의미에서의 개인정보 보호에 초점을 맞추었다. 이러한 개인정보 및 개인정보서비스 와 관련된 법률, 정책 및 제도를 정보의 생성과 이용의 흐름 및 경제주체를 중심으로 적절한 정보의 이용이 보장 되면서 개인의 정보프라이버시가 보호될 수 있는 방안을 마련하는 방법을 체계적으로 검토하였다. 해외의 개인정보서비스 산업의 사례 조사를 통하여 향후 우리나라에서 개인정보서비스산업이 활성화되었을 때 개인의 만족증대, 실질적인 정보보호 수준의 향상, 고용창출, 기업활동의 효율화, 관련기업의 국제경쟁력 고양 등의 기대효과가 있음을 보였다. 또한, 개인정보의 적절한 이용과 보호, 그리고 정보서비스산업의 활성화를 위하여 관련 법률의 제정 및 개정, 정보보호 제도의 개발 및 효과적 운영, 장기적 정보서비스 산업 활성화 정책 수립과 단계적 추진, 활성화를 위한 정부 및 민간 재원 확보, 사회적 공감대 형성, 지속적인 연구 등을 제안한다.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.155-178
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• 2021

In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.