• 제어로봇시스템학회:학술대회논문집
• /
• 1992.10a
• /
• pp.906-911
• /
• 1992

We deals with stationary layout control system of AGV. It is a intelligent contorl system to be wholly charged control PC a layout information and guided command and to be controlled a vehicle driving, steening, safety of natural functions of AGV. Fieldbus concentrator of stationary layout control system serves control command from control PC and status information of AGV. Telegram software monitors transmitted command and status information through IR (Infrared) modem. Epecially it is possible to easily network to use not an exclusive controller of AGV but

• 연구논문집
• /
• s.22
• /
• pp.27-38
• /
• 1992

We deals with stationary layout control system of AGV. It is a intelligent control system to he wholly charged control PC a layout information and guided command and to be controlled a vehicle driving, steering, safety of natural functions of AGV. Fieldbus concentrator of stationary layout control system serves control command from control PC and status information of AGV. Telegram software monitors transmitted command and status information through IR(JnfraRed) modem. Especially it is possible to easily network to use not an exclusive controller of AGV but personal computer(PC) when communicate and interface a different kind of controller.

• Journal of information and communication convergence engineering
• /
• v.15 no.3
• /
• pp.187-192
• /
• 2017

Autonomous driving vehicle research demands complex road and lane understanding such as lane departure warning, adaptive cruise control, lane keeping and centering, lane change and turn assist, and driving under complex road conditions. A fast and robust road lane detection subsystem is a basic but important building block for this type of research. In this paper, we propose a method that performs road lane detection from black box input. The proposed system applies Random Sample Consensus to find the best model of road lanes passing through divided regions of the input image under HSV color model. HSV color model is chosen since it explicitly separates chromaticity and luminosity and the narrower hue distribution greatly assists in later segmentation of the frames by limiting color saturation. The implemented method was successful in lane detection on real world on-board testing, exhibiting 86.21% accuracy with 4.3% standard deviation in real time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2002.11a
• /
• pp.744-748
• /
• 2002

This paper describes a power supply of a CW magnetron for driving a electrodeless plasma lamp. The proposed power supply consists of a power factor controller, a series resonant ZVS half bridge inverter, a high voltage leakage transformer, and two IGBT drives. From the simulation results, it was confirmed that the proposed circuits can control the input power of the magnetron up to 33.3[%] linearly by adjust driving frequency of the inverter.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.9
• /
• pp.2153-2159
• /
• 2013

In order to drive a vehicle safely, driver needs to check status of the car. Many moderns are having trouble to spare time to visit auto mechanic and have car mechanics to check their car other than their office hours. If the car status cannot be inspected regularly, it is likely to cause a big accident threatening the surroundings as well as driver's life. Inspection tool and system help driver to check their own vehicle status personally are required for preventing it. In this paper, it designed and realized system that records driving information based on changing data of vehicle (location and automotive internal data) and allows driver can check the vehicle status easily and further, driver can share the driving information with repair shop via the Internet to receive detailed inspection service for car status.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.11
• /
• pp.159-167
• /
• 2009

The vehicles play a significant role in modern people's life as economy grows. The development of car navigation system(CNS) provides various convenience because it shows the driver where they are and how to get to the destination from the point of source. However, the existing map-based CNS does not consider any environments such as traffic congestion. Given the same starting point and destination, the system always provides the same route and the required time. This paper proposes a path planning method with traffic prediction by applying historical driving information to the Fuzzy theory and Bayesian update. Fuzzy theory classifies the historical driving information into groups of leaving time and speed rate, and the traffic condition of each time zone is calculated by Bayesian update. An ellipse area including starting and destination points is restricted in order to reduce the calculation time. The accuracy and practicality of the proposed scheme are verified by several experiments and comparisons with real navigation.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.32 no.4
• /
• pp.107-112
• /
• 2009

The purpose of this study was to examine elderly drivers' driving performances at the intersections, suggested by Bao and Boyle(2009), according to visual information processing skills. Visual information processing skills of elderly drivers were measured by using the visual working memory task, developed by Min et al.(2006). Seven elderly drivers were divided into two groups(good/poor) depending on the level of visual information processing skills and eleven younger drivers were a contrast group. This study examined the differences of driving performance(i.e., intersection passing times, approach velocities, speed variation and handling variations) among three groups. The results showed that elderly drivers having the poor visual information processing skills passed more slowly through the intersection than the contrast group, and passing times between elderly drivers having the good visual information processing skills and the contrast group was not significantly different. It is suggested that elderly drivers having the poor visual information processing skills use more times when they pass through the intersection, because they don't process a lot of hazardous and latent hazardous factors quickly.

• The Transactions of the Korean Institute of Power Electronics
• /
• v.8 no.4
• /
• pp.336-343
• /
• 2003

Generally, brushless DC motor(BLDCM) driving system uses hall sensors or encoders as the mechanical position or speed sensors. It is necessary to achieve the information's of rotor position for driving trapezoidal type brushless DC motor without any position sensor. This paper proposes a sensorless driving system with absolute rotor position detecting circuit which acquires both commutating phase and commutating time by analyzing motor phase voltages. Proposed system is applied to a 10k[W] rating motor which actually used in Hybrid Electric Vehicles. The experimental results will show the validity of the proposed system and the practical use of proposed sensorless drive.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.48 no.1
• /
• pp.65-71
• /
• 2011

In modem society, car are the most important transportation. Thereby, car accidents has been increasing steadily. The driver is the biggest factor of car accident. Therefor, various studies about driver (reaction time, mentality, physiological signal, age, pattern of drive) are underway. In this paper, we design a embedded system for measuring the reaction time by driving skill. The proposed system is composed of measuring brake module, OBD-2 scanner and bluetooth transmission module. Also, we implement GUI program to analyze experiment result and database to store results. Though our proposed system, we can analyze driving skill.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.32 no.1
• /
• pp.26-33
• /
• 2009

The directions of the road are divided into two, the right-hand side and left-hand side of the road, by the convention and specific native method in the world. This paper deals with the characteristics and behaviors of drivers who are accustomed to driving on right-hand side of the road, drive with a handle on the left-hand side, and comparing with left-hand side drivers. The driver's eye movements were measured by eye camera and questionnaires were used for measuring subjective evaluation such as driving mental workload. The experimental results indicated even if the experts who had much experience on right-hand side driving, they had lower driving skill than novice driver, accustomed to driving on left-hand side. In terms of mental workload, MCH rating scale and MNASA-TLX, the right-hand side drivers were in lower stress condition than the left-hand side drivers because of having much driving experience. However, they conducted a few mistakes by confusing the position of turn signal and windshield wiper because of their driving habit or traits and it lead to operation mistakes. These results can be applied effectively to develop the driving support information with changed environments.