• Journal of Korea Society of Industrial Information Systems
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• v.24 no.2
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• pp.25-31
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• 2019

As artificial intelligence technology has been developed rapidly, many researchers who are interested in next-generation vehicles have been studying on applying the artificial intelligence technology to advanced driver assistance systems (ADAS). In this paper, a method of applying deep learning algorithm to the lane departure warning system which is one of the main components of the ADAS was proposed. The performance of the proposed method was evaluated by taking a comparative experiments with the existing algorithm which is based on the line detection using image processing techniques. The experiments were carried out for two different driving situations with image databases for driving on a highway and on the urban streets. The experimental results showed that the proposed system has higher accuracy and precision than the existing method under both situations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.700-707
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• 2018

Vehicles are used in daily life as convenient transport, it is important to authenticate driver because vehicles are controlled by driver. Especially, in these days, there is a discussion on introduction of Driving Under the Influence car-starting locking device installation for preventing accidents caused by Driving Under the Influence of alcohol, these car-starting locking device installation requires a lot of money and time. Suitable user authentication for solving user's inconvenience during the disabled and men of national merit to receive discount benefits is needed. In this paper, For solving these problems, we propose the efficient vehicle control and user authentication system for preventing driving under the influence and providing the disabled and men of national merit benefit based on driver authentication by using user's smartphone NFC communication and user's biometric information.

• The Transactions of the Korea Information Processing Society
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• v.1 no.3
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• pp.418-426
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• 1994

Auto Navigation System is to provide a vehicle driver with more driving information by developing a computer-based system which supports advanced knowledge to a vehicle driving automation system and a driver. In this paper, we propose a new algorithm for the extraction of passing car which removes a background region using a series of images. First, we generate two difference images from three original images by getting the difference values between every two of them in sequence. Second, we generate two mask images from the two difference images. Finally, we extract passing car using the one original image and the two mask images. Using this algorithm we can extract the moving object in the outdoors.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.237-242
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• 2019

Recently, as the public interest in autonomous cars has increased, research and technology development of related companies for the commercialization of autonomous cars have been actively carried out, and the development has progressed to a stage where they are partially but actually used. However, in March 2018, Uber and Tesla cars caused two fatal accidents, and the need for a new system is emerging. Therefore, this paper suggests a new information processing model for autonomous driving car system by supplementing the cause of recognition errors caused by the cause of death by focusing on the accident of autonomous driving car.

• JSTS:Journal of Semiconductor Technology and Science
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• v.1 no.2
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• pp.132-139
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• 2001

We considered the uniformity of fabricated micromirror arrays by characterizing the fabrication process and calculating the appropriate driving voltages of micromirrors used as virtual photomask in maskless photolithography. The uniformity of the micromirror array in terms of driving voltage and optical characteristics is adversely affected by factors, such as the air gap between the bottom electrode and the mirror plate, the spring shape and the deformation of the mirror plate or torsion spring. The thickness deviation of the photoresist sacrificial layer, the misalignment between mirror plate and bottom electrode, the aluminum deposition condition used to produce the spring and the mirror plate, and initial mirror deflection were identified as key factors. Their importance lies in the fact that they are related to air gap deviations under the mirror plate, asymmetric driving voltages in left and right mirror directions, and the deformation of the Al sring or mirror plate after removal of the sacrificial layer. The plasma ashing conditions used for removing the sacrificial layer also contributed to the deformation of the mirror plate and spring. Driving voltages were calculated for the pixel operation of the micromirror array, and the non-uniform characteristics of fabricated micromirrors were taken into consideration to improve driving performance reliability.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.1
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• pp.33-39
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• 2014

Automatic driving needs many functions such as the obstacle recognition, the lane recognition, and the lane change, etc. In this paper, we realized a system which automatically drove the three-kinds of vehicle driving course, to introduce and apply the concept of 'color recognition' that expands the scope of 'lane recognition' for vehicle driving. We made the reduced each course compared with RC(Radio Control) car size, and controlled the steering considering the position and the slope of the detection line and the speed. Because the RC car does not have the brake function, we consider the speed and the position of the detection line to stop the RC car.

• The Transactions of the Korean Institute of Power Electronics
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• v.24 no.3
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• pp.139-146
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• 2019

As the number of electric vehicles (EVs) in Jejudo Island increases, the secondary use of EV batteries is becoming increasingly mandatory not only in reducing greenhouse gas emissions but also in promoting resource conservation. For the secondary use of EV batteries, their capacity and performance at the end of automotive service should be evaluated properly. In this study, the battery state information from the on-board diagnostics or OBD2 port was acquired in real time while driving three distinct routes in Jejudo Island, and then the battery operating characteristics were assessed with the driving routes. The route with higher altitude led to higher current output, i.e., higher C-rate, which would reportedly deteriorate state of health (SOH) faster. In addition, the SOH obtained from the battery management system (BMS) of a 2017 Kia Soul EV with a mileage of 55,000 km was 100.2%, which was unexpectedly high. This finding was confirmed by the SOH estimation based on the ratio of the current integral to the change in state of charge. The SOH larger than 100% can be attributed to the rated capacity that was lower than the nominal capacity in EV application. Therefore, considering the driving environment and understanding the SOH estimation process will be beneficial and necessary in evaluating the capacity and performance of retired batteries for post-vehicle applications.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.859-864
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• 2022

Drowsy driving, one of the biggest causes of traffic accidents every year, is accompanied by various factors. As a general method to check whether or not there is drowsiness, a method of identifying a driver's expression and driving pattern, and a method of analyzing bio-signals are being studied. This paper proposes a driver fatigue detection system using deep learning technology and bio-signal measurement technology. As the first step in the proposed method, deep learning is used to detect the driver's eye shape, yawning presence, and body movement to detect drowsiness. In the second stage, it was designed to increase the accuracy of the system by identifying the driver's fatigue state using the pulse wave signal and body temperature. As a result of the experiment, it was possible to reliably determine the driver's drowsiness and fatigue in real-time images.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.10a
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• pp.287-290
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• 2003

The base composition for a construction information union and application is insufficient, because the existent information driving for the underground facility is separately promoted from management organization. This Study is to analyze a accuracy by converting pre-constructive underground facility database to the unification database of digital map base and improve the accuracy for a field surveying. moreover, These results is to construct the information common system of web base GIS by jointing internet technology.

• The Magazine of the IEIE
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• v.28 no.5
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• pp.55-62
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• 2001

In this paper, we introduc current research and development trend of intelligent vehicls and its application to driving suport system. We introduce some core technology required for developing thee systems and explain how it works. Moreover, some items related with ehicle information system and the intelligent vehicles will be introduced. Since the vehicle is very complex system, there are many problems in developing these systems, especially in developing intelligent vehicle. The main purpose of this is to dscuss these problems and find good solution.