• 기술혁신학회지
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• 제21권2호
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• pp.715-737
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• 2018

자율주행자동차의 도입은 자동차의 산업생태계 변화뿐만 아니라 사회적, 문화적, 경제적 변화를 가져올 것이다. 사회적 수용성은 자율주행자동차 상용화가 성공하기 위한 중요한 영향 요인 중 하나이다. 본 연구는 수요자 관점에서 자율주행자동차의 수용에 영향을 주는 요인들이 무엇인지 분석하였다. 본 연구에서는 운전자의 개입 여부에 따라 부분자율주행자동차(PAV)와 완전자율주행자동차(FAV)로 정의하였다. 설문은 운전자뿐만 아니라 비운전자도 포함하여 20세 이상을 대상으로 수행되었다. 그 결과 PAV와 FAV 수용에 영향을 미치는 요인들은 다르게 나타났다. PAV의 경우 운전자와 직접적인 관련이 있는 요인들이 수용성에 영향을 미쳤고, FAV의 경우 외부 환경 요인들이 자율주행자동차의 수용에 영향을 미치는 것으로 나타났다. 이러한 결과는 PAV와 FAV의 수용 확산을 위해서는 서로 다른 전략이 필요하다는 것을 보여주었다.

• 한국콘텐츠학회논문지
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• 제20권5호
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• pp.153-170
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• 2020

최근 인공지능(AI), 정보통신기술(ICT)의 발전에 따라 자율주행 자동차가 현실화되고 있으며, 부분 자율주행기술을 장착한 차량의 판매가 빠르게 확대되고 있다. 이러한 상황에서 자율주행 자동차에 대한 기술 연구는 활발하게 이루어지고 있으나, 사용자 관점에서 자율주행 자동차에 대한 인식을 탐구한 연구는 상대적으로 많이 부족한 실정이다. 이에 본 연구에서는 자율주행 자동차 사용자들을 <적극 수용형>, <기술 수긍형>, <기술 불만족형>, <기술 수용 불안형>의 4가지 유형으로 유형화하고, 각 유형별 특징을 살펴보았다. 이를 위해 본 연구는 질적연구방법인 Q방법론을 적용하였으며, 34개 진술문으로 구성된 Q표본을 이용해 32명으로 구성된 P표본의 자작적 주관성을 관찰하였다. 이러한 본 연구의 결과는 국내외 자동차 제조기업들에게 자율주행 자동차의 기술 발전과 시장 확대를 위한 전략적 방향을 제시하고, 학술적으로 후속 양적연구를 위한 가설을 제공한다는 측면에서 의의를 갖는다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.513-517
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• 2006

Autonomous Underwater Vehicles plays specific role in underwater investigation. Generally, this kind of vehicles will move along a planned path for sea bottom or underwater installations inspections, search for mineral deposits along shelves, seeking lost items including bottom mines or for hydrographic measurements. A crucial barrier for it remains the possibility of precise determination of their underwater position. Commonly used radionavigation systems do not work in such circumstances or do not guarantee the required accuracies. In the paper some new solution is proposed on the assumption that it is possible to increase the precision by certain processing of a combination of measurements conducted by means of different techniques. Objective of the paper is the idea of navigation of AUV which consists of two phases: firstly a trip of AUV along pre-planned route and after that postprocessed transformation of collected data in post-processing mode. During the processing of collected data the modern adjustment methods have been applied, mainly estimation by means of least squares and M-estimation. Application of these methods should be associated with the measuring and geometric conditions of navigational tasks and thus suited for specific scientific and technical problems of underwater navigation. The first results of computer aided investigation will be presented and the basic scope of these application and possible development directions will be indicated also. The paper is prepared as an partial results of the works carried out within a framework of the research Project: 'Improvement of the Precise Underwater Vehicle Navigation Methods' financed by the Polish Ministry of Education and Science (No 0 T00A 012 25).

• 로봇학회논문지
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• 제17권2호
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• pp.198-208
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• 2022

In this paper, an autonomous driving system is implemented for the Segye AI Robot Race Competition that multiple vehicles drive simultaneously. By utilizing the ERP42-racing platform, RTK-GPS, and LiDAR sensors provided in the competition, we propose an autonomous driving system that can drive safely and quickly in a road environment with multiple vehicles. This system consists of a recognition, judgement, and control parts. In the recognition stage, vehicle localization and obstacle detection through waypoint-based LiDAR ROI were performed. In the judgement stage, target velocity setting and obstacle avoidance judgement are determined in consideration of the straight/curved section and the distance between the vehicle and the neighboring vehicle. In the control stage, adaptive cruise longitudinal velocity control based on safe distance and lateral velocity control based on pure-pursuit are performed. To overcome the limited experimental environment, simulation and partial actual experiments were conducted together to develop and verify the proposed algorithms. After that, we participated in the Segye AI Robot Race Competition and performed autonomous driving racing with verified algorithms.

• 한국군사과학기술학회지
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• 제17권6호
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• pp.810-820
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• 2014

Recently many studies of Radar systems mounted on ground vehicles for autonomous driving, SLAM (Simultaneous localization and mapping) and collision avoidance are reported. In near field, several hits per an object are generated after signal processing of Radar data. Hence, clustering is an essential technique to estimate their shapes and positions precisely. This paper proposes a method of grouping hits in range-doppler domains into clusters which represent each object, according to the pre-defined rules. The rules are based on the perceptual cues to separate hits by object. The morphological connectedness between hits and the characteristics of SNR distribution of hits are adopted as the perceptual cues for clustering. In various simulations for the performance assessment, the proposed method yielded more effective performance than other techniques.

• 대기
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• 제34권1호
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• pp.35-53
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• 2024

Under the leadership of the National Institute of Meteorological Sciences (NIMS), the first domestic autonomous flight-type weather modification experimental drone for fog and lower-level cloud seeding was developed in 2021. This drone is designed based on a multi-copter configuration with a maximum takeoff weight of approximately 25 kg, enabling the installation of up to four burning flares for seeding materials and facilitating weather observations (temperature, pressure, humidity, and wind) as well as aerosol (PM₁₀, PM_2.5, and PM_1.0) particle measurements. This research aims to introduce the construction of the drone and its recent applications over the past two years, providing insights into the experimental procedures, effectiveness verification, and improvement directions of the weather modification drone-based rain enhancement. In particular, partial confirmation of the experimental effects was obtained through the fog dissipation experiment on December 10, 2021, and the lower-level cloud seeding case study on October 5, 2022. To enhance the scope and rainfall amount of weather modification experiments using drones, various technological approaches, including adjustments to experimental altitude, seeding lines, seeding amount, and verification methods are necessary. Through this research, we aim to propose the development direction for weather modification drone technology, which will serve as foundational technology for practical application of domestic rain enhancement technology.