• Title/Summary/Keyword: Self Driving

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Traversable Region Detection Algorithm using Lane Information and Texture Analysis (차로 수 정보와 텍스쳐 분석을 활용한 주행가능영역 검출 알고리즘)

  • Hwang, Sung Soo;Kim, Do Hyun
    • Journal of Korea Multimedia Society
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    • v.19 no.6
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    • pp.979-989
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    • 2016
  • Traversable region detection is an essential step for advanced driver assistance systems and self-driving car systems, and it has been conducted by detecting lanes from input images. The performance can be unreliable, however, when the light condition is poor or there exist no lanes on the roads. To solve this problem, this paper proposes an algorithm which utilizes the information about the number of lanes and texture analysis. The proposed algorithm first specifies road region candidates by utilizing the number of lanes information. Among road region candidates, the road region is determined as the region in which texture is homogeneous and texture discontinuities occur around its boundaries. Traversable region is finally detected by dividing the estimated road region with the number of lanes information. This paper combines the proposed algorithm with a lane detection-based method to construct a system, and simulation results show that the system detects traversable region even on the road with poor light conditions or no lanes.

The SOTDMA Algorithm Development and Verification for AIS (AIS용 SOTDMA알고리즘 구현 및 검증에 관한 연구)

  • Lee, Sang-Hoey;Lee, Hyo-Sung;Lim, Yong-Kon;Lee, Heung-Ho
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.3037-3039
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    • 2005
  • The AIS(Automatic Identification System) transmits the position of ships and other information to prevent accidents which could occur in the sea. It has to be developed SOTDMA(Self-Organized Time Division Multiple Access) Algorithm which is important on wireless communication method for the AIS because It is based on ITU(International Telecommunication Union) M.1371-1 of the international standard therefore, we need to develop a performance evaluation simulator efficiently to develop and analyze SOTDMA Algorithm. this paper shows the method of designing it. Real ships access The VHF maritime mobile band but in this performance evaluation simulator several ship objects access the shared memory. Real ships are designed as the object and the wireless communication channel is designed as the shared memory. The ships apply for real virtual data which got from assistance hardware and The SOTDMA Algorithm driving state verifies the performance evaluation simulator by IEC(International Electrotechnical commission) 61993-2. After verifying results the performance evaluation simulator is correctly satisfied with IEC 61993-2. So we expect that it helps not only the AIS technology developed but also verify new SOTDMA Algorithm

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A Study on establishment of performance indicator using BSC for local public enterprise - Focus on GEIC's Case - (BSC를 이용한 지방공기업의 성과지표 설정에 관한 연구 - 광주광역시 환경시설공단 사례를 중심으로 -)

  • Ra, Jong-Hei;Choi, Kwang-Don;Lee, Sang-Jun
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.6 s.44
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    • pp.237-248
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    • 2006
  • Nowadays, the administration is strongly driving self-innovation including public sector to solve problems continuously pointed out as issues of public sector such as the low management achievement, the low productivity and costliness structure, the low ability coping with market changes and ineffectiveness in managing organization. The core of such renovation is the systematic performance management. Provincial public enterprises are also required to furnish system that can measure management results accurately and make payment according to measured results under autonomous management system to raise management efficiency and strengthen competitive power. In this paper, we design framework for measuring management results of provincial public enterprises based on Balanced Scorecard and show the example applied to Gwangiu Metropolitan City Environmental Installations Corp (GEIC).

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Development of Simulator for AIS Algorithm Verification (AIS 알고리즘 검증용 시뮬레이터 개발)

  • Lee, Hyo-Sung;Lee, Seung-Min;Lee, Heung-Ho
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.478-480
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    • 2005
  • The AIS(Automatic Identification System) transmits the position of ships and other information to prevent accidents which could occur in the sea. It has to be developed SOTDMA(Self-Organized Time Division Multiple Access) Algorithm which is important on wireless communication method for the AIS because It is based on ITU(International Telecommunication Union) M.1371-1 of the international standard therefore, we need to develop a performance evaluation simulator efficiently to develop and analyze SOTDMA Algorithm. This paper shows the method of designing it. Real ships access The VHF maritime mobile band but in this performance evaluation simulator several ship objects access the shared memory. Real ships are designed as the object and the wireless communication channel is designed as the shared memory. The ships apply for real virtual data which got from assistance hardware and The SOTDMA Algorithm driving state verifies the performance evaluation simulator by IEC(International Electrotechnical commission) 61993-2. After verifying results the performance evaluation simulator is correctly satisfied with IEC 61993-2. So we expect that it helps not only the AIS technology developed but also verify new SOTDMA Algorithm.

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People Detection Algorithm in Dynamic Background (동적인 배경에서의 사람 검출 알고리즘)

  • Choi, Yu Jung;Lee, Dong Ryeol;Kim, Yoon
    • Journal of Industrial Technology
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    • v.38 no.1
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    • pp.41-52
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    • 2018
  • Recently, object detection is a critical function for any system that uses computer vision and is widely used in various fields such as video surveillance and self-driving cars. However, the conventional methods can not detect the objects clearly because of the dynamic background change in the beach. In this paper, we propose a new technique to detect humans correctly in the dynamic videos like shores. A new background modeling method that combines spatial GMM (Gaussian Mixture Model) and temporal GMM is proposed to make more correct background image. Also, the proposed method improve the accuracy of people detection by using SVM (Support Vector Machine) to classify people from the objects and KCF (Kernelized Correlation Filter) Tracker to track people continuously in the complicated environment. The experimental result shows that our method can work well for detection and tracking of objects in videos containing dynamic factors and situations.

Vehicle Instrument Cluster Layout Differentiation for Elderly Drivers

  • Kim, Sang-Hwan
    • Journal of the Ergonomics Society of Korea
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    • v.35 no.5
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    • pp.449-464
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    • 2016
  • Objective: The objective of this study is to identify essential requirements of the instrument cluster's features and layout for elderly drivers through interview and paper prototyping. Background: Recent updates implemented in passenger vehicles require more complex information to be processed by drivers. Concurrently, a large portion of the US population, the baby boomer generation has aged, causing their physical and cognitive abilities to deter. Thus it is crucial that new methods be implemented into vehicle design in order to accommodate for the deterioration of mental and physical abilities. Method: Forty elderly drivers and twenty young drivers participated in this study. The test included three sessions including: 1) location value assessment to identify the priority of areas within the instrument cluster; 2) component value assessment to capture rankings of the degree of importance and frequency of use for possible instrument cluster components; and 3) paper prototyping to collect self-designed cluster with selection of designs for each component and location of features from each participant. Results: Results revealed differences in the area priority of the instrument cluster as well as the shape and location of component features for age and gender groups. Conclusion: The study provided insights on instrument cluster layout guidelines by proving elderly driver's mental model and preferred cluster design configurations to improve driving safety. Application: LCD-based vehicle instrument cluster design, with an adaptable feature configuration for cluster components and layouts.

Fractal-based collaboration model for a virtual enterprise (가상기업을 위한 프랙탈 기반 협업 모델)

  • Mun Jeong-Tae;Mun Yeong-Pil;Jeong Mu-Yeong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.05a
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    • pp.1698-1701
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    • 2006
  • In this research, fractal approach is applied to the realization of a virtual enterprise. Virtual enterprise is a temporarily built organization to cope with new business opportunity. It is composed of diverse business partners such as suppliers, manufacturers, customers, and service providers in value chains. Therefore, communication and interoperability problems between heterogeneous participants are one of the main concerns in developing collaboration models of a virtual enterprise. Fractal-based reference model can be a solution for this problem. The term 'fractal' is used to represent a participant of the value chains. There are many advantages when participants try to embody fractal-based collaboration model such as; (1) no restriction of inner configuration, (2) guarantee of autonomy, (3) easy implementation of interfaces, etc. Fractals are self-similar, however, this does not mean that they should have same configuration. In this paper, a fractal-based collaboration model for a virtual enterprise is proposed and described with (1) a formal formulation of fractal concept, (2) functional requirements and interfaces, and (3) a goal model as a driving force of the virtual enterprise.

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A Study on the Evaluation Method of ACC Test Using Monocular Camera (단안카메라를 활용한 ACC 시험평가 방법에 관한 연구)

  • Kim, Bong-Ju;Lee, Seon-Bong
    • Journal of Auto-vehicle Safety Association
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    • v.12 no.3
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    • pp.43-51
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    • 2020
  • Currently, the second level of the six stages of self-driving technology, as defined by SAE, is commercialized, and the third level is preparing for commercialization. The purpose of ACC is to be evaluated as a system useful for preventing and preventing accidents by minimizing driver fatigue through longitudinal speed control and relative distance control of the vehicle. In this regard, for the study of safety assessment methods in the practical environment of ACC. Distance measurement method using monocular camera and data acquisition equipment such as DGPS are utilized. Based on the evaluation scenario considering the domestic road environment proposed by the preceding study, the relative distance obtained from equipment such as DPGS and the relative distance using a monocular camera in the actual test is verified by comparing and analyzing the safety assessment. The comparison by scenario results showed a minimum error rate of 3.83% in Scenario 1 and a maximum of 14.61% in Scenario 6. The cause of the maximum error is that the lane recognition is not accurate in the camera image and irregular operation conditions such as rushing in or exiting the surrounding area from the walkway. It is expected that safety evaluation using a monocular camera will be possible for other ADAS systems in the future.

Autonomous-flight Drone Algorithm use Computer vision and GPS (컴퓨터 비전과 GPS를 이용한 드론 자율 비행 알고리즘)

  • Kim, Junghwan;Kim, Shik
    • IEMEK Journal of Embedded Systems and Applications
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    • v.11 no.3
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    • pp.193-200
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    • 2016
  • This paper introduces an algorithm to middle-low price drone's autonomous navigation flight system using computer vision and GPS. Existing drone operative system mainly contains using methods such as, by inputting course of the path to the installed software of the particular drone in advance of the flight or following the signal that is transmitted from the controller. However, this paper introduces new algorithm that allows autonomous navigation flight system to locate specific place, specific shape of the place and specific space in an area that the user wishes to discover. Technology developed for military industry purpose was implemented on a lower-quality hobby drones without changing its hardware, and used this paper's algorithm to maximize the performance. Camera mounted on middle-low price drone will process the image which meets user's needs will look through and search for specific area of interest when the user inputs certain image of places it wishes to find. By using this algorithm, middle-low price drone's autonomous navigation flight system expect to be apply to a variety of industries.

System Dynamics Approaches on Green Car Diffusion Strategies and the Causal Diagram Analysis (친환경차 확산전략에 대한 시스템다이내믹스 접근과 인과지도 분석)

  • Park, Kyungbae
    • Korean System Dynamics Review
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    • v.13 no.4
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    • pp.33-55
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    • 2012
  • The research is to identify important diffusion factors and their effects on green car diffusion process using system dynamics perspectives and a causal-loop analysis. Through a deep review on previous research, we have found the important factors of green car diffusion process. Price, driving range, network effect, recharge system, fuel cost had important facilitation on consumer attraction and green car diffusion. Based on the review, we have constructed a causal loop diagram explaining hybrid car diffusion process. We have found 3 important reinforcing loops in the causal loop diagram. Loop for learning & economies of scale(supply side), loop for network effect(consumer side), and loop for battery development(technology side) had most significant roles in the whole diffusion process. Through a deliberate analysis on the 3 causal loops, we have found meaningful results. First, there seems to exist a critical mass in the diffusion. Second, of the 3 loops, the battery technology had most significant role. Third, not consumer installed base but sales must be a standard to decide whether the critical mass is achieved or not. Based on these findings, several meaningful implications are suggested for the government and corporations related to the green car industries.

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