SIFT 특징점을 이용한 4채널 서라운드 시스템의 동적 영상 정합 알고리즘

국중진,강대웅 한국반도체디스플레이기술학회 2024 반도체디스플레이기술학회지 Vol.23 No.1

In this paper, we propose a SIFT feature-based dynamic stitching algorithm for image calibration and correction of a 360-degree surround view system. The existing surround view system requires a lot of processing time and money because in the process of image calibration and correction. The traditional marker patterns are placed around the vehicle and correction is performed manually. Therefore, in this study, images captured with four fisheye cameras mounted on the surround view system were distorted and then matched with the same feature points in adjacent images through SIFT-based feature point extraction to enable image stitching without a fixed marker pattern.

자율주행을 위한 YOLOv5 기반 신호등의 신호 분류 모델 연구

국중진,이학승 한국반도체디스플레이기술학회 2024 반도체디스플레이기술학회지 Vol.23 No.1

As research on autonomous driving technology becomes more active, various studies on signal recognition of traffic lights are also being conducted. When recognizing traffic lights with different purposes and shapes, such as pedestrian traffic lights, vehicle-only traffic lights, and right-turn traffic lights, existing classification methods may cause misrecognition problems. Therefore, in this study, we studied a model that allows accurate signal recognition by subdividing the classification of signals according to the purpose and type of traffic lights. A signal recognition model was created by classifying traffic lights according to their shape and purpose into horizontal, vertical, right turn, etc., and by comparing them with the existing signal recognition model based on YOLOv5, it was confirmed that more correct and accurate recognition was possible.

Near Field IR (NIR) 스펙트럼 및 결정 트리 기반 기계학습을 이용한 플라스틱 재질 분류 시스템

국중진 한국반도체디스플레이기술학회 2022 반도체디스플레이기술학회지 Vol.21 No.3

Plastics are classified into 7 types such as PET (PETE), HDPE, PVC, LDPE, PP, PS, and Other for separation and recycling. Recently, large corporations advocating ESG management are replacing them with bioplastics. Incineration and landfill of disposal of plastic waste are responsible for air pollution and destruction of the ecosystem. Because it is not easy to accurately classify plastic materials with the naked eye, automated system-based screening studies using various sensor technologies and AI-based software technologies have been conducted. In this paper, NIR scanning devices considering the NIR wavelength characteristics that appear differently for each plastic material and a system that can identify the type of plastic by learning the NIR spectrum data collected through it. The accuracy of plastic material identification was evaluated through a decision tree-based SVM model for multiclass classification on NIR spectral datasets for 8 types of plastic samples including biodegradable plastic.

OpenVSLAM 기반의 협력형 모바일 SLAM 시스템 설계

국중진 한국반도체디스플레이기술학회 2022 반도체디스플레이기술학회지 Vol.21 No.1

In this paper, we designed, implemented, and verified the SLAM system that can be used on mobile devices. Mobile SLAM is composed of a stand-alone type that directly performs SLAM operation on a mobile device, and a mapping server type that additionally configures a mapping server based on FastAPI to perform SLAM operation on the server and transmits data for map visualization to a mobile device. The mobile SLAM system proposed in this paper is to mix the two types in order to make SLAM operation and map generation more efficient. The stand-alone type SLAM system was configured as an Android app by porting the OpenVSLAM library to the Unity engine, and the map generation and performance were evaluated on desktop PCs and mobile devices. The mobile SLAM system in this paper is an open source project, so it is expected to help develop AR contents based on SLAM in a mobile environment.

ECU와 내비게이션 정보를 융합한 IoT Head Up Display(HUD) 시스템 설계

국중진,Kook, Joongjin 한국반도체디스플레이기술학회 2021 반도체디스플레이기술학회지 Vol.20 No.3

The HUD (Head-up Display) device for vehicles has gradually been advanced in connection with ADAS (Advanced Driver Assistant System) for the safety and the convenience of driving. In this paper, the major features (e.g. speed, RPM, etc.) of vehicles is received through the ECU and the route information is received through the navigating API, configurating the integrated GUI. And, the optical system is configured based on DLP (Digital Light Processing) to evaluate the visibility depending on the resolution change of the GUI. The IoT HUD system proposed in this paper has the scalability to flexibly add not only the ECU but also various cloud-based driving-related information.

MediaPipe를 이용한 목재 제조업 작업자의 근골격계 유해요인 평가 방법

국중진,정성오 한국반도체디스플레이기술학회 2022 반도체디스플레이기술학회지 Vol.21 No.2

This paper proposes a method for evaluating the work of manufacturing workers using MediaPipe as a risk factor for musculoskeletal diseases. Recently, musculoskeletal disorders (MSDs) caused by repeated working attitudes in industrial sites have emerged as one of the biggest problems in the industrial health field while increasing public interest. The Korea Occupational Safety and Health Agency presents tools such as NIOSH Lifting Equations (NIOSH), OWAS (Ovako Working-posture Analysis System), Rapid Upper Limb Assessment (RULA), and Rapid Entertainment Assessment (REBA) as ways to quantitatively calculate the risk of musculoskeletal diseases that can occur due to workers' repeated working attitudes. To compensate for these shortcomings, the system proposed in this study obtains the position of the joint by estimating the posture of the worker using the posture estimation learning model of MediaPipe. The position of the joint is calculated using inverse kinetics to obtain an angle and substitute it into the REBA equation to calculate the load level of the working posture. The calculated result was compared to the expert's image-based REBA evaluation result, and if there was a result with a large error, feedback was conducted with the expert again.

이기종 스마트 플랫폼 상에서의 하이브리드앱 기반 스마트러닝 콘텐츠 호환성에 관한 연구

국중진,박병하,Kook, Joongjin,Park, Byoung-Ha 대한임베디드공학회 2013 대한임베디드공학회논문지 Vol.8 No.1

With the development and general use of a variety of Android/iOS-based smart phones and smart pads, the existing e-learning contents need to be changed in such a way that they can be carried out on different smart device platforms. This paper shows what changes are needed for that aim, and, in particular, for the compatibility of different platforms by designing and implementing Android/iOS-based smart learning contents in the form of a hybrid app. This paper will hopefully help you consider what elements are required to develop smart-learning contents on a variety of platforms for mobile devices.

안드로이드 기반 테더드 타입 AR 글래스의 공간 인식을 위한 ORB-SLAM 기반 SLAM프레임워크 설계

국중진,김도훈 한국반도체디스플레이기술학회 2023 반도체디스플레이기술학회지 Vol.22 No.1

In this paper, we proposed a software framework structure to apply ORB-SLAM, the most representative of SLAM algorithms, so that map creation and location estimation technology can be applied through tethered AR glasses. Since tethered AR glasses perform only the role of an input/output device, the processing of camera and sensor data and the generation of images to be displayed through the optical display module must be performed through the host. At this time, an Android-based mobile device is adopted as the host. Therefore, the major libraries required for the implementation of AR contents for AR glasses were hierarchically organized, and spatial recognition and location estimation functions using SLAM were verified.

실내공기질 개선 시스템의 서버 구성 방식에 따른 응답 시간의 차이 비교

국중진 한국반도체디스플레이기술학회 2023 반도체디스플레이기술학회지 Vol.22 No.1

Various devices have been emerging as a means of measuring indoor air quality, and among them, there are devices that support real-time remote monitoring through IoT technology and a cloud environment. To improve indoor air quality, based on the results determined by measuring devices, air purifiers or ventilation systems may need to be operated, and temperature and humidity control may be required. In this paper, we propose a design of indoor air quality measuring devices required for indoor air quality evaluation, and of the system needed to control relevant devices to improve indoor air quality through the interaction with the measuring devices. Currently, the servers for the interaction of indoor air quality devices and IoT devices are divided into conventional server type and serverless type, comparing the differences in response time of IoT devices to changes of indoor air quality.

DCT 학습을 융합한 RRU-Net 기반 이미지 스플라이싱 위조 영역 탐지 모델

국중진,서영민,한정우,권희정,이수빈 한국반도체디스플레이기술학회 2023 반도체디스플레이기술학회지 Vol.22 No.1

This paper proposes a lightweight deep learning network for detecting an image splicing forgery. The research on image forgery detection using CNN, a deep learning network, and research on detecting and localizing forgery in pixel units are in progress. Among them, CAT-Net, which learns the discrete cosine transform coefficients of images together with images, was released in 2022. The DCT coefficients presented by CAT-Net are combined with the JPEG artifact learning module and the backbone model as pre-learning, and the weights are fixed. The dataset used for pre-training is not included in the public dataset, and the backbone model has a relatively large number of network parameters, which causes overfitting in a small dataset, hindering generalization performance. In this paper, this learning module is designed to learn the characterization depending on the DCT domain in real-time during network training without pre-training. The DCT RRU-Net proposed in this paper is a network that combines RRU-Net which detects forgery by learning only images and JPEG artifact learning module. It is confirmed that the network parameters are less than those of CAT-Net, the detection performance of forgery is better than that of RRU-Net, and the generalization performance for various datasets improves through the network architecture and training method of DCT RRU-Net.