• 제목/요약/키워드: autonomous vehicles

검색결과 786건 처리시간 0.03초

적합도 공유 기법을 적용한 향상된 FastSLAM 알고리즘 (An Improved FastSLAM Algorithm using Fitness Sharing Technique)

  • 권오성;현병용;서기성
    • 한국지능시스템학회논문지
    • /
    • 제22권4호
    • /
    • pp.487-493
    • /
    • 2012
  • SLAM(Simultaneous Localization And Mapping)은 주변 환경에 대한 지도 작성과 자신의 위치를 인식하는 기법으로 주행 로봇 분야에서 널리 사용되고 있다. FastSLAM(A Factored Solution to the SLAM)은 파티클 필터와 확장형 칼만 필터를 기반으로 한 대표적인 SLAM 기법중의 하나이나, 재추출 단계에서 입자들의 다양성이 상실되는 문제가 제기되고 있다. 본 논문에서는 적합도 공유기법을 사용하여 입자들의 다양성 상실에 관한 문제를 보완하는 방법을 제시하고, 기존의 기법들과 성능을 비교 및 분석한다.

Fast Lamp Pairing-based Vehicle Detection Robust to Atypical and Turn Signal Lamps at Night

  • Jeong, Kyeong Min;Song, Byung Cheol
    • IEIE Transactions on Smart Processing and Computing
    • /
    • 제6권4호
    • /
    • pp.269-275
    • /
    • 2017
  • Automatic vehicle detection is a very important function for autonomous vehicles. Conventional vehicle detection approaches are based on visible-light images obtained from cameras mounted on a vehicle in the daytime. However, unlike daytime, a visible-light image is generally dark at night, and the contrast is low, which makes it difficult to recognize a vehicle. As a feature point that can be used even in the low light conditions of nighttime, the rear lamp is virtually unique. However, conventional rear lamp-based detection methods seldom cope with atypical lamps, such as LED lamps, or flashing turn signals. In this paper, we detect atypical lamps by blurring the lamp area with a low pass filter (LPF) to make out the lamp shape. We also propose to detect flickering of the turn signal lamp in a manner such that the lamp area is vertically projected, and the maximum difference of two paired lamps is examined. Experimental results show that the proposed algorithm has a higher F-measure value of 0.24 than the conventional lamp pairing-based detection methods, on average. In addition, the proposed algorithm shows a fast processing time of 6.4 ms per frame, which verifies real-time performance of the proposed algorithm.

iGLAD 사고 분류 유형을 이용한 자전거 탑승자 교통사고 분석 (A Study on Cyclist Accident Analysis on Korea Roads with Typology of iGLAD)

  • 이화수;장은지;임종현;이지민;김재훈;송봉섭
    • 자동차안전학회지
    • /
    • 제10권1호
    • /
    • pp.27-31
    • /
    • 2018
  • This paper reports an analysis of cyclist accident cases with respect to passenger vehicles on Korean roads. A typology based on Initiative for the Global Harmonization of Accident Data (iGLAD) code book is applied to a traffic accident analysis system(TAAS), which has the real-world crash data on Korea roads, to understand the accident scenarios in more detail and efficiently. Similarly this typology has been used for Germany In-Depth Accidents Study (GIDAS) as well. The accident data analysis with consideration of the typology of Korean road conditions may prioritize traffic safety issues regarding cyclists and is aimed to develop an Automatic Emergency Braking (AEB) system for cyclist. In summary, this paper characterizes and analyzes the scenarios of cyclist crashes with passenger car. The most common accident scenarios on Korean roads are Car-to-Bicyclist Nearside Adult (CBNA) and Car-to-Bicyclist Longitudinal Adult (CBLA), which are more than 86% of total accidents cases. Therefore, it is inferred that AEB cyclist system should include these accident types in the operational design domain to reduce more fatality in Korea.

자계 극배치를 이용한 지능형 차량용 도로 정보의 인식 (Recognition of road information using magnetic polarity for intelligent vehicles)

  • 김영민;임영철;김태곤;김의선
    • 센서학회지
    • /
    • 제14권6호
    • /
    • pp.409-414
    • /
    • 2005
  • For an intelligent vehicle driving which uses magnetic markers and magnetic sensors, we can get every kind of road information while moving the vehicle if we use the code that is encoded with N, S pole direction of markers. If we make it an only aim to move the vehicle, it becomes easy to control the vehicle the more we put markers close. By the way, to recognize the direction of a marker pole it is much better that the markers have no effect each other. To get road informations and move the vehicle autonomously we propose the methods of arranging magnetic sensors and algorithm of recognizing the position of the vehicle with those sensors. We verified the effectiveness of the methods with computer simulation.

르야프노프 기반 가변 추적유도법칙을 이용한 무인항공기 랑데부 기동 기법 (Rendezvous Maneuver of an Unmanned Aerial Vehicle Using Lyapunov-based Variable Pursuit Guidance)

  • 김민구
    • 한국항공우주학회지
    • /
    • 제48권10호
    • /
    • pp.765-772
    • /
    • 2020
  • 항공기의 임무수행 시간을 연장하기 위해 도입된 공중급유를 수행하기 위해서는 두 항공기간의 랑데부 기동이 필수적으로 요구된다. 본 논문에서는 공중급유를 위해 가변 추적유도법칙을 이용한 랑데부 유도기법을 다룬다. 르야프노프 안정성 이론을 이용하여 가변 추적유도법칙 기반 랑데부 유도기법을 설계하였다. 제안한 유도기법은 두 항공기가 일정한 속력으로 비행하고 있을 때, 두 항공기 간의 헤딩각이 일치하도록 작동하여 랑데부 기동을 수행하도록 한다. 수치 시뮬레이션을 통해 제안한 랑데부 유도기법의 성능을 검증하였다.

교통 표지판의 3차원 추적 경로를 이용한 자동차의 주행 차로 추정 (Lane-Level Positioning based on 3D Tracking Path of Traffic Signs)

  • 박순용;김성주
    • 로봇학회논문지
    • /
    • 제11권3호
    • /
    • pp.172-182
    • /
    • 2016
  • Lane-level vehicle positioning is an important task for enhancing the accuracy of in-vehicle navigation systems and the safety of autonomous vehicles. GPS (Global Positioning System) and DGPS (Differential GPS) are generally used in navigation service systems, which however only provide an accuracy level up to 2~3 m. In this paper, we propose a 3D vision based lane-level positioning technique which can provides accurate vehicle position. The proposed method determines the current driving lane of a vehicle by tracking the 3D position of traffic signs which stand at the side of the road. Using a stereo camera, the 3D tracking paths of traffic signs are computed and their projections to the 2D road plane are used to determine the distance from the vehicle to the signs. Several experiments are performed to analyze the feasibility of the proposed method in many real roads. According to the experimental results, the proposed method can achieve 90.9% accuracy in lane-level positioning.

방향 모호성을 고려한 수중 음향 기반의 2차원 위치 추정 기술 개발 (Acoustic based Two Dimensional Underwater Localization Considering Directional Ambiguity)

  • 최진우;이영준;정종대;박정홍;최현택
    • 로봇학회논문지
    • /
    • 제12권4호
    • /
    • pp.402-410
    • /
    • 2017
  • Acoustic based localization is essential to operate autonomous robotic systems in underwater environment where the use of sensorial data is limited. This paper proposes a localization method using artificial underwater acoustic sources. The proposed method acquires directional angles of acoustic sources using time difference of arrivals of two hydrophones. For this purpose, a probabilistic approach is used for accurate estimation of the time delay. Then, Gaussian sum filter based SLAM technique is used to localize both acoustic sources and underwater vehicle. It is performed by using bearing of acoustic sources as measurement and inertial sensors as prediction model. The proposed method can handle directional ambiguity of time difference based source localization by generating Gaussian models corresponding to possible locations of both front and back sides. Through these processes, the proposed method can provide reliable localization method for underwater vehicles without any prior information of source locations. The performance of the proposed method is verified by experimental results conducted in a real sea environment.

Ambient Intelligence in Distributed Modular Systems

  • Ngo Trung Dung;Lund Henrik Hautop
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
    • /
    • pp.421-426
    • /
    • 2004
  • Analyzing adaptive possibilities of agents in multi-agents system, we have discovered new aspects of ambient intelligence in distributed modular systems using intelligent building blocks (I-BLOCKS) [1]. This paper describes early scientific researches related to technical design, applicable experiments and evaluation of adaptive processing and information interaction among I-BLOCKS allowing users to easily develop ambient intelligence applications. The processing technology presented in this paper is embedded inside each DUPLO1 brick by microprocessor as well as selected sensors and actuators in addition. Behaviors of an I-BLOCKS modular structure are defined by the internal processing functionality of each I-Blocks in such structure and communication capacities between I-BLOCKS. Users of the I-BLOCKS system can do 'programming by building' and thereby create specific functionalities of a modular structure of intelligent artefacts without the need to learn and use traditional programming language. From investigating different effects of modem artificial intelligence, I-BLOCKS we have developed might possibly contain potential possibilities for developing applications in ambient intelligence (AmI) environments. To illustrate these possibilities, the paper presents a range of different experimental scenarios in which I-BLOCKS have been used to set-up reconfigurable modular systems. The paper also reports briefly about earlier experiments of I-BLOCKS in different research fields, allowing users to construct AmI applications by a just defined concept of modular artefacts [3].

  • PDF

세계화와 한국의 지역간 성장격차 (Globalization and Regional Growth Gaps: A Korean Case)

  • 곽노성;채희봉
    • 한국경제지리학회지
    • /
    • 제18권2호
    • /
    • pp.152-167
    • /
    • 2015
  • 본 논문은 세계화가 지역의 성장격차에 미치는 영향을 분석하였다. 본 연구에서는 우리나라 16개 광역자치단체를 대상으로 무역의존도와 외국인직접투자를 세계화변수로 정하였으며 그 변수들이 지역간 성장격차에 미치는 영향을 분석하였다. 추정 결과 지역간 성장격차에 있어서 외국인직접투자가 유의한 영향을 미쳤으며 무역의존도(개방도)는 격차에 유의한 영향을 주는 변수가 되지 않는 것으로 나타났다. 연구결과 우리나라에서 지역갈등의 원인이 되고 있는 지역간 성장격차를 해소하고 균형적인 성장을 기하기 위해서는 취약지역에 외국인투자 특히, 신산업분야의 국내외투자를 적극 유치하는 것이 필요하다는 것을 보여주고 있다. 이에 따라 그동안 외국인직접투자를 지역발전정책의 수단이기 보다는 주로 외자유치차원에서 관심을 가져왔으나, 앞으로는 지역격차의 시정을 위한 중요한 정책수단으로 활용할 필요가 있다.

  • PDF

DRAM이 임베디드 프로세서의 성능에 끼치는 영향 (Effects of DRAM in The Embedded Processor Performance)

  • 이종복
    • 디지털콘텐츠학회 논문지
    • /
    • 제18권5호
    • /
    • pp.943-948
    • /
    • 2017
  • 현재, 특정한 응용분야에 적합하도록 설계된 임베디드 시스템이 가전제품, 스마트폰, 자율주행 자동차, 로봇, 공장제어 등의 분야에 광범위하게 쓰이고 있다. 아울러, 임베디드 시스템을 구성하는 임베디드 프로세서의 성능에 지대한 영향을 미치는 DRAM의 중요성이 날로 증가되어, DRAM에 대한 연구가 산업계와 학계에서 활발하게 진행되고 있다. 모의실험을 통하여 임베디드 프로세서의 성능을 평가할 때 신뢰할만한 결과를 얻기 위하여, 보다 정확한 DRAM 모델을 갖추는 것이 중요하다. 본 논문에서는 이것을 위하여, DRAM 시뮬레이터와 연동할 수 있는 임베디드 프로세서 모의실험기를 개발하였다. 그리고, MiBench 임베디드 벤치마크를 입력으로, 싸이클 단위로 정확하게 동작하는 DRAM 모델이 임베디드 프로세서의 성능에 끼치는 영향을 분석하였다.