• 농업과학연구
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• 제48권3호
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• pp.617-627
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• 2021

In the field of on-road motor vehicles, the level for autonomous driving technology is defined according to J3016, proposed by Society of Automotive Engineers (SAE) International. However, in the field of agricultural machinery, different standards are applied by country and manufacturer, without a standardized classification for autonomous driving technology which makes it difficult to clearly define and accurately evaluate the autonomous driving technology, for agricultural machinery. In this study, a method to classify the autonomy levels for autonomous agricultural machinery (ALAAM) is proposed by modifying the SAE International J3016 to better characterize various agricultural operations such as tillage, spraying and harvesting. The ALAAM was classified into 6 levels from 0 (manual) to 5 (full automation) depending on the status of operator and autonomous system interventions for each item related to the automation of agricultural tasks such as straight-curve path driving, path-implement operation, operation-environmental awareness, error response, and task area planning. The core of the ALAAM classification is based on the relative roles between the operator and autonomous system for the automation of agricultural machines. The proposed ALAAM is expected to promote the establishment of a standard to classify the autonomous driving levels of self-propelled agricultural machinery.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.190-201
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• 2023

Securing transportation safety infrastructure technology for Lv.4 connected autonomous driving is very important for the spread of autonomous vehicles, and the safe operation of level 4 autonomous vehicles in adverse weather has limitations due to the development of vehicle-only technology. We developed the radar-enabled AI convergence transportation entities detection system. This system is mounted on fixed and mobile supports on the road, and provides excellent autonomous driving situation recognition/determination results by converging transportation entities information collected from various monitoring sensors such as 60GHz radar and EO/IR based on artificial intelligence. By installing such a radar-enabled AI convergence transportation entities detection system on an autonomous road, it is possible to increase driving efficiency and ensure safety in adverse weather. To secure competitive technologies in the global market, the development of four key technologies such as ① AI-enabled transportation situation recognition/determination algorithm, ② 60GHz radar development technology, ③ multi-sensor data convergence technology, and ④ AI data framework technology is required.

• ETRI Journal
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• 제36권6호
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• pp.968-978
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• 2014

Autonomous vehicle technology based on information technology and software will lead the automotive industry in the near future. Vehicle localization technology is a core expertise geared toward developing autonomous vehicles and will provide location information for control and decision. This paper proposes an effective vision-based localization technology to be applied to autonomous vehicles. In particular, the proposed technology makes use of numerical maps that are widely used in the field of geographic information systems and that have already been built in advance. Optimum vehicle ego-motion estimation and road marking feature extraction techniques are adopted and then combined by an extended Kalman filter and particle filter to make up the localization technology. The implementation results of this paper show remarkable results; namely, an 18 ms mean processing time and 10 cm location error. In addition, autonomous driving and parking are successfully completed with an unmanned vehicle within a $300m{\times}500m$ space.

• 한국전자통신학회논문지
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• 제17권1호
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• pp.49-58
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• 2022

최근 4차 산업혁명의 시작으로 인해 자율주행 관련 시장이 빠르게 발전하고 있다. 빠르게 발전하는 자율주행 기술의 기술 동향을 파악하기 위해서 자율주행의 Level 0부터 Level 5까지의 특징 및 차이점에 대해서 알아보고자 한다. 자율주행 차량의 전반적인 구성, 인식기술, 보조기술들을 분석하고, 이를 통해 자율주행 기술에 대한 구조 및 알고리즘을 파악하고자 한다. 또한 초음파 센서와 카메라를 이용한 모의 자율주행 RC카를 제작하여 인식기술과 보조기술의 필요성을 파악한다.

• 토지주택연구
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• 제11권1호
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• pp.103-108
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• 2020

Autonomous things system is a technology that judges and acts based on using surrounding information by itself, and it is evaluated as a future technology that can replace the current IoT technology. The current IoT technology is widely used from facility monitoring to machine control but it is shown weakness as a evaluation and prediction technique despite of smart city important technology. In this study, in order to confirm the application of the autonomous things technology, a monitoring system was installed on a real reservoir dam facility and long-term monitoring was performed that the measuring device itself judges and control as a facility monitoring technology. The autonomous things technology was confirmed during 19 months and it is possible to continuous measurement in the same way as current automated instrumentation. In addition, it was confirmed that the ICT device itself could to control autonomously measurement cycle according to the rainfall by itself.

• 자동차안전학회지
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• 제9권4호
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• pp.26-31
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• 2017

The current autonomous vehicle competitions are dominated by a few leading research institutions and universities. Since the leading research groups have been able to accumulate their knowledge and to develop their own algorithms for autonomous vehicle for many years, the technology gap seems too big for other followers to catch up with. On the other hand, recent researches predict that there would be a sharp rise in demand for engineers with background in autonomous vehicle technology. Therefore, it would be warranted to further expand the base of the academia and autonomous vehicle industry. In an effort to achieve this goal, it would be beneficial to hold a new format of autonomous vehicle competition event where undergraduate students can play a leading role. So, this study is to analyze the current autonomous vehicle competitions and thus to establish a strategic plan to develop a unique and improved competition event. This study investigates the pros and cons of the domestic and international autonomous vehicle competitions. Based on the analysis for the current autonomous vehicle competitions, the authors suggest a strategic plan to initiate an autonomous vehicle competition. To implement the aforementioned strategic plan, it is necessary to develop a systematic environment where the education and communication are actively available. Through the strategic plan the authors propose, the newly launching autonomous vehicle competition will able to encourage the undergraduate students and professors to dive in the cutting-edge technology thereby increasing technology competitiveness.

• 수산해양기술연구
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• 제54권3호
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• pp.231-238
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• 2018

In this study, a ship motion control system design method is introduced for autonomous ships. Some related research results and technologies for autonomous ships have already been developed and applied to ships. For example, the Norwegian Maritime Authority and the Coastal Administration have signed an agreement that allows to test of autonomous ships in the defined area (port to port). Many countries and industries are pursuing to realize the autonomous vessel in the real world. In this paper, the authors try to develop related technology. As basic research, a ship model of the pilot vessel is developed and physical parameters are identified by experiment and simulations. Using the mathematical ship model, a control system is designed and control performance is evaluated by simulations.

• 항공우주산업기술동향
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• 제6권2호
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• pp.143-153
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• 2008

본 논문에서는 자율비행(Autonomous Flight)의 연구동향 및 향후 발전방향에 대하여 기술하였다. 자율비행은 항공기의 예기치 않은 임의상황 발생에 대해서도 항공기가 스스로 인지하고, 판단 한 후 대처하는 것을 의미한다. 현재의 자율비행기술은 무인기를 위주로 개발되고 있으나, 차세대 항공교통관제 시스템 도입과 무인기의 활용성 증대 요구에 따라 자율비행기능이 항공교통관제시스템과 결합되어야 한다. 그러므로 현 항공교통관제 시스템의 주요 개요와 향후 변경될 차세대 항공교통관제 시스템의 주요 사항들을 살펴보았고, 자율비행기술 개발 현황을 기술하였으며 향후 발전방향을 전망하였다.

• 자동차안전학회지
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• 제14권4호
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• pp.91-99
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• 2022

In Korea, various studies on autonomous vehicles are being conducted with the aim of commercializing the fully autonomous driving (Lv.4) on major roads in 2027. Currently, the communication between non-autonomous vehicles and road users is made with gestures, eye contact, and verbal signals. In the case of autonomous vehicles in the future, autonomous vehicles should communicate instead of drivers. Recently, V2H communication technology (communication technology between autonomous vehicles and road users) is being developed. This study shows technology priorities using the KANO model in caution (warning) and traffic (concession) situations. As a result, a total of six attractive quality technologies were analyzed: technology to provide dark warning information in a display graphic; technology to provide dark warning information in a projection graphic; technology to provide light concession information in a display graphic; technology to provide dark concession information in a display graphic. In the future, it will investigate the preference of users in providing V2H information by road situation. It will be used as a V2H design priority.

• 한국융합학회논문지
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• 제9권1호
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• pp.253-259
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• 2018

최근 4차 산업혁명이 대두됨에 따라 다양한 산업의 변화되는 형태가 나타나고 있는데, 그중에서 인공지능, 빅데이터, 사물인터넷 등의 요소기술을 활용한 자율주행 자동차에 대한 관심이 높아지고 있다. 자율주행 자동차는 과거의 자동차 산업을 이끌던 차량 제조사와 부품사들의 영역에서 벗어나 전자 업체/통신 업체/IT 업체등 다양한 회사들의 관심이 증대되고 있다. 본 논문에서는 이러한 자율 주행 기술과, 현재 다양한 연구소/산업계의 현황 그리고 자율주행 자동차의 발전 추세에 대하여 정리하여 보고, 자율주행 자동차의 발전으로 인한 사회 변화에 대해서 간략하게 고찰해보도록 한다.