• Journal of the Korean Geographical Society
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• v.45 no.1
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• pp.144-164
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• 2010

This study aims to reveal path selection strategies and individual differences in a navigation task. Two experiments were presented that studied human route planning performance as well as the cognitive strategies and processes involved. For the outdoor task, university students were asked to select a route based on the instruction, i.e. to find the best route from the campus main gate to the Education Building for conference visitors by locating eight signposts. Results indicate (1) that locations of signposts were selected preferably at decision points where the traveler needs to make a choice and starting/ending points of the navigation task and (2) a variety of route planning strategies considering efficiency goal (e.g., the shortest path), environmental characteristics (e.g., fewest turns), and aesthetic purpose (e.g., most scenic) were used. It is notable that some participants took into account more than one path by locating one or two signposts on an alternative route while others preferred a linear route connecting signposts between the start point and the destination. Prior to the main experiment, the same participants were asked to complete the same task inside the classroom to investigate changes in strategies between two tasks. Participants often tend to place signposts at more regular intervals for the indoor navigation task than the same task conducted outside.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.70-79
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• 2017

This study proposes a method to quickly and accurately acquire distance information on direction signs. The proposed method is composed of the recognition of the sign, pre-processing to facilitate the acquisition of the road sign distance, and the acquisition of the distance data. The road sign recognition uses color detection including gamma correction in order to mitigate various noise issues. In order to facilitate the acquisition of distance data, this study applied tilt correction using linear factors, and resolution correction using Fourier transform. To acquire the distance data, morphological operation was used to highlight the area, along with labeling and template matching. By acquiring the distance information on the direction sign through such a processes, the proposed system can be output the distance remaining to the next junction. As a result, when the proposed method is applied to system it can process the data in real-time using the fast calculation speed, average speed was shown to be 0.46 second per frame, with accuracy of 0.65 in similarity value.

• Journal of Korean Society of Transportation
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• v.29 no.1
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• pp.47-55
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• 2011

The purpose of this study was to determine the legibility distance for traffic road sign and traffic sign, fixation duration and number of fixation during the time of recognition of traffic road signs under different vision conditions. This experiment was conducted on a closed-road circuit which has realistic driving road and environment Each participant drove the real vehicle for the experiment and specially built traffic road sign for the experiment and traffic road signs on the side of closed-road circuit were used. Different vision conditions were simulated using spectacle lenses to reach visual acuity 1.0 and 0.8 and it was 1.2 without spectacles and each participant tested under 3 vision conditions.. The result of this study demonstrated that there was a significant difference on legibility distance between visual acuity of 1.2 and 0.8 and there were also significant difference on fixation duration and number of fixations with smaller traffic signs. This study demonstrated the importance of vision correction for driving at night-time, also showed there would be difference on legibility distance and efficiency of eye movement such as fixation duration and number of fixation despite of satisfied visual acuity for driver's license requirement.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.2
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• pp.31-37
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• 2012

Because of road construction and expansion, Update of the road traffic facilities DB is steadily increased each year, and, Increasing drivers and cars, safety signs for traffic safety are required management and additional installation continuously. To update Safety Sign database promptly, we have developed auto recognition function of safety sign, and analyzed coordinates accuracy. The purpose of this study was to propose methods to update about road traffic facilities efficiently. For this purpose, omni-directional camera was calibrated for acquisition of 3-dimensional coordinates, integrated GPS/IMU/DMI system and applied image processing. In this experiment, we proposed a effective method to update database of road traffic facilities for digital map.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.31-33
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• 2022

등부표는 소형 어선을 포함한 선박의 항로표지에 중요한 역할을 한다. 그러나 야간에 어두워지면 해상에 설치된 등부표의 위치나 번호판 식별이 어려워 소형 어선이나 선박이 등부표에 가까이 접근하는 경우 등부표를 미처 발견하지 못하고 충돌하여 선박이 파손되거나 인명사고가 발생한다. 이 연구에서는 소형 어선이나 선박이 야간에도 등부표의 위치와 번호판을 쉽게 식별할 수 있도록 등부표에 조명장치를 구비하여 충돌사고의 예방과 항로표지서비스를 향상시키는 방법을 분석하고 고안하여 태양광전원을 이용한 방수형 LED조명과 통신모듈IoT를 결합하여 원격디밍 RGB제어 및 조명자가진단기능을 갖추어 야간에 시인성을 높이는 등부표의 윤곽표시조명을 개발하였다.

• Journal of Korea Multimedia Society
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• v.16 no.4
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• pp.430-443
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• 2013

The recognition of current position and road surrounding of car is very important to driver for safe driving. This paper presents the recognition technique of the road traveling environment using position information hiding and viewpoint transform that monitors the information of road furniture and signature and notifies them to driver. The proposed scheme generates the road images into which the position information are hided, from car camera and GPS module and provides the road information to driver through the viewpoint transformation and the road signature detection. The driving tests with camera and GPS module verified that the position information hiding takes about 66.5ms per frame, the detection rate of road signature is about 95.83%, and the road signature detection takes about 227.45ms per frame. Therefore, we know that the proposed scheme can recognize the road traveling environment on the road video with 15 frame rate.

• 한국공간정보시스템학회:학술대회논문집
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• 2002.03a
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• pp.65-70
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• 2002

도로표지는 도로 이용자에게 목적지까지의 방향, 거리, 경로 안내 등 기타정보를 제공함으로써 안전하고 원활한 교통흐름을 제공하여 도로의 이용 효율을 극대화할 수 있는 중요한 도로 부속시설물이다. 이 시설물의 설치 기준인 도로표지규칙의 일부 기준이 미흡하고 운영 및 관리담당 기관이 일원화되지 않아, 전문적 도로표지 관리가 용이하지 않은 실정이다. 이에 도로표지의 통합적 전문적 관리와, 그에 따른 도로표지의 신속하고 정확한 조사가 필요하게 되었다. 본 연구에서는 최적의 조사시스템을 도출하기 위하여 도로시설물의 조사를 위한 여러 방법과 시스템을 비교하고 그 장단점을 분석하였다. 또한, 수치지도를 바탕으로 한 도로망도를 추출하고 DGPS 측량을 실시한 도로망도를 이용하여 현지조사를 실시하였다. 현지 조사 시스템을 공간정보, 속성정보로 구성된 데이터베이스, 표지판등록 및 GPS프로그램으로 구성된 응용프로그램, 소프트웨어와 경로탐색용 네비게이션, 노트북, 디지털카메라, GPS로 구성된 하드웨어로 구성하여 현지조사에 사용하였다. 현지조사 작업은 차량에 설치된 디지털카메라를 이용하여 원격조정으로 도로표지의 사진을 촬영하고, GPS를 이용하여 위치를 측정하였다. 현지조사 시스템은 지도의 축척에 맞는 정확도로 조정이 가능하며, 도로표지 조사뿐만 아니라 교통표지 및 그 외의 도로시설물의 조사에도 활용하고, 무선통신을 이용한다면 실시간 정보의 수정 및 입력이 가능할 것으로 판단된다.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.681-688
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• 2002

This paper proposes a system detecting the area of traffic sign, which uses color rate as the information of colors, and corner point and distance rate as the information of morphology. In this system, a candidate area is extracted by performing dilation operation on the binary image made by the color rate of R, G, B components and by detecting corner point and center point through mask. The area of traffic sign with varied shapes is extracted by calculating the distance rate from center point, which is the information of morphology. The results of this experiment demonstrate that in this system which is invariable regardless of its size and location, it is possible to extract the exact area from varied traffic signs such as the shapes of triangle, circle, inverse triangle, and square as well as from the images at both day and night when brightness value is greatly different. Moreover, it demonstrates great accuracy and speed in processing.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.55-69
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• 2017

Recently, the IoT (Internet of Things) environment is being developed rapidly through network which is linked to intellectual objects. Through the IoT, it is possible for human to intercommunicate with objects and objects to objects. Also, the IoT provides artificial intelligent service mixed with knowledge of situational awareness. One of the industries based on the IoT is a car industry. Nowadays, a self-driving vehicle which is not only fuel-efficient, smooth for traffic, but also puts top priority on eventual safety for humans became the most important conversation topic. Since several years ago, a research on the recognition of the surrounding environment for self-driving vehicles using sensors, lidar, camera, and radar techniques has been progressed actively. Currently, based on the WAVE (Wireless Access in Vehicular Environment), the research is being boosted by forming networking between vehicles, vehicle and infrastructures. In this paper, a research on the recognition of a traffic signs on highway was processed as a part of the awareness of the surrounding environment for self-driving vehicles. Through the traffic signs which have features of fixed standard and installation location, we provided a learning theory and a corresponding results of experiment about the way that a vehicle is aware of traffic signs and additional informations on it.

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.397-403
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• 2007