• Journal of the Semiconductor & Display Technology
• /
• v.20 no.1
• /
• pp.88-93
• /
• 2021

The automotive industry is developing day by day. Among them, it is very important to prevent accidents while driving. However, despite the importance of developing automobile industry technology, accidents due to road defects increase every year, especially in the rainy season. To this end, we proposed a road defect detection system for road management by converging deep learning and raspberry pi, which show various possibilities. In this paper, we developed a system that visually displays through a map after analyzing the images captured by the Raspberry Pi and the route GPS. The deep learning model trained for this system achieved 96% accuracy. Through this system, it is expected to manage road defects efficiently at a low cost.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2021.01a
• /
• pp.153-154
• /
• 2021

본 논문에서는 ROS(Robot Operating System)를 기반으로 한 로봇(Robot)에 LiDAR 센서를 설치하여 SLAM(Simultaneous Localization and Mapping) 기술인 동시적 위치 추적 지도 작성 기법을 이용하여 실내 맵 정보를 습득하고, 이를 기반으로 장애물과 건물 실내를 안전하고 정확하게 이동할 수 있도록 하였다. 또한 로봇에 자바에서 제공하는 개발 툴킷 Swing 및 AWT 라이브러리를 이용하여 GUI(Graphical User Interface)를 구현하였고 터치스크린을 장착하여 사용자가 원하는 제품을 선택하고 선택한 제품의 목적지를 습득한 맵을 토대로 좌표 값을 설정하여 ROS에서 지원하는 이동 프로세스를 실행시켜 목적지까지 경로를 설정하고 자율 주행하게 된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.637-639
• /
• 2021

As autonomous driving research is actively progressing, lane detection is an essential technology in ADAS (Advanced Driver Assistance System) to locate a vehicle and maintain a route. Lane detection is detected using an image processing algorithm such as Hough transform and RANSAC (Random Sample Consensus). This paper implements a linear shape detection algorithm using OpenCV on Raspberry Pi 3 B+. Thresholds were set through OpenCV Gaussian blur structure and Canny edge detection, and lane recognition was successful through linear detection algorithm.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.229-229
• /
• 2023

블록체인은 보안성과 탈중앙화를 동시에 제공하는 자료구조 중 하나로, 데이터를 중앙 서버가 아닌 모든 참여자들이 동등한 위치에서 관리할 수 있기 때문에 데이터를 투명하고 신뢰성 있게 관리할 수 있다. 본 연구에서는 자율주행 자동차의 차량정보, 주행 중 생성되는 데이터를 블록체인에 저장하여 차량상태, 차량경로 등을 실시간으로 모니터링할 수 있으며 생성 데이터의 권리 보장, 보안성 강화를 위한 이더리움기반 Dapp을 개발한다.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.8
• /
• pp.69-75
• /
• 2022

In this paper, a method for predicting the speed for each lane from the link speed using an artificial neural network is presented to increase the accuracy of predicting the required time of a driving route. The time required for passing through a link is observed differently depending on the direction of going straight, turning right, or turning left at the intersection of the end of the link. Therefore, it is necessary to predict the speed according to the vehicle's traveling direction. Data required for learning and verification were constructed by refining the data measured at the Gongpyeong intersection of Gukchaebosang-ro in Daegu Metropolitan City and four adjacent intersections around it. Five neural network models were used. In addition, error analysis of the prediction was performed to select a neural network experimentally suitable for the research purpose. Experimental results showed that the error in the estimation of the time required for each lane decreased by 17.4% for the straight lane, 4.4% for the right-turn lane, and 3.9% for the left-turn lane. This experiment is the result of analyzing only one link. If the entire pathway is tested, the effect is expected to be greater.

• Archives of design research
• /
• v.20 no.3 s.71
• /
• pp.163-178
• /
• 2007

The importance of brands as well as the consumers' emotional & cultural desire have increased. In the meantime, the companies have made efforts to create their positive brand images through the support of Mecenat using culture or social return. In addition, they made ceaseless efforts to provide consumers with a cultural space by building up brand service areas as part of their purpose. However, the rapidly increasing brand service spaces have not really appealed to consumers. In order to become a competitive and powerful brand in the severe brand market, it is necessary to enhance the brand image and to let the brand be considered as a culture and the lifestyle of consumers. In order to do so, the companies have to establish their market-driving strategies by creating new products or new market. To do so, it is important for them to figure out consumers' inner desire through the touch point with consumers. This study attempted to suggest a method of using a corporate museum as a space that could meet all of the said elements at a time. Through the route of a corporate museum, the companies would be able to study their future directions by looking back their history and they could be reborn as culture brands. Therefore, this study suggested that the corporate museum could be a space for culture and education as well as a brand space and could play a positive role in the companies; in this process, the study could grope for consumers' inner desire with its touch point where companies and consumers would meet and its utilization of brand market-driving strategy as a test marketing strategy observing consumers' responses.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.541-544
• /
• 2012

Recently, RFID-based mobile robot navigation technology for the study is on the march. Obstacle avoidance using existing RFID tag technology, the target is immediately recognizable through Stored in the tag for obstacle size and shape information. However, this technique is not easy to recognize a moving obstacle. In this paper, in order to this solve problem, mobile robot obstacle avoidance system is proposed using smart RFID tags attached to the ultrasonic sensor. Proposed system used Smart RFID tag is designed to the 900Mhz tags attached ultrasonic sensors. And captured moving obstacles information deliver mobile robot. Mobile robot modify driving information through delivery information. And the system keeps track of the best driving route. Usefulness of the proposed system was confirmed by simulations and experiments.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.10 no.4
• /
• pp.304-310
• /
• 2017

In this paper, we propose the architecture of an IPM based lane detector for autonomous vehicles to detect and control the driving route along the curved lane. In the IPM image, we divide the area into two fields, Far/Near Field, and the lane candidate region is detected using the Hough transform to perform the matching for the curved lane. In autonomous vehicles, various algorithms must be embedded in the system. To reduce the system resources, we proposed a method to minimize the number of memory accesses to the image and various parameters on the external memory. The proposed circuit has 96% lane recognition rate and occupies 16% LUT, 5.9% FF and 29% BRAM in Xilinx XC7Z020. It processes Full-HD image at a rate of 42 fps at a 100 MHz operating clock.

• Journal of Environmental Science International
• /
• v.21 no.2
• /
• pp.241-251
• /
• 2012

The emissions of several air pollutants ($NO_x$, CO, VOCs, etc.) for the replacement of all diesel buses by Compressed Natural Gas (CNG) buses were estimated in the Busan Metropolitan Area (BMA). These emissions were calculated from emission factors considering the different driving speeds with bus routes, distance traveled, and deterioration factors. For the purpose of this study, three categories of fuel type were selected: (1) the combination of diesel (65%) and CNG buses (35%) (DSL+CNG case), (2) all diesel buses (DSL case), and (3) all CNG buses (CNG case). The emissions of $NO_x$ and CO in the CNG case were estimated to be significant decreases (by about 50% and 98%, respectively) relative to the DSL case. Conversely, the emission of VOCs (980.7 ton/year) in the CNG case were a factor of 3.3 higher than that (299.8 ton/year) in the DSL case. In addition, the diurnal variations of emissions between two city buses (e.g. diesel and CNG) and all other vehicles were distinctly different because the two city buses operate at a regular time interval. Our overall results suggest the possibility that the pollutant emissions from the CNG buses can exert less influence on air quality in the target area than those from the diesel buses.

• Journal of the Korean Institute of Gas
• /
• v.11 no.4
• /
• pp.54-58
• /
• 2007

The trailers with electronically controlled diesel engine was converted to dual fuel engine system. To estimate economical efficiency, test vehicles have been operated on a certain driving route repeatedly. Fuel economy, mximum driving distance per refueling and driveability are examined on the road including a free way. Developed vehicle can be operated over 500 km with dual Hel and shows 85% of diesel substitution ratio. Driveability is similar with but passing acceleration. It will be improved by calibration process. Test engine was set up for investigating power output, thermal efficiency and emission. ND 13-mode tests were performed for the test cycle. The emission result of dual fuel meets K2006 regulation and the engine performance of dual fuel engine was equivalent to the performance of diesel engine.