• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.101-104
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• 2000

본 논문은 FLC를 이용한 원격제어 이동로봇이 다수 목적지를 보다 효율적으로 주행하도록 제어하는 것이다. 원격 제어 이동로봇이 전진, 후진, 좌회전, 우회전의 이동 명령을 한 가지씩 수행한 후 멈추는데 발생되는 단점을 보완하기 위해 본 논문은 초음파 센서를 이용하여 얻어진 지형정보를 바탕으로 목적지에 대한 경유점 수를 줄이면서 경유점 간의 이동을 최적한 경로로 주행을 할 수 있도록, 퍼지 논리 제어기를 이용하여 보다 효율적인 제어를 할 수 있는 알고리즘을 연구하였다. 그리고, 이러한 주행 알고리즘을 시뮬레이션을 통해 확인하였다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.117-120
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• 2000

본 논문은 이동로봇이 주행 중 발생하는 heading 오차를 지자기센서를 이용하여 보정하고 주행을 정확히 제어하는 것에 관한 것이다. 일반적으로 이동로봇의 주행제어는 여러 원인에 의한 부정확성을 내포하고 있다. 예를 들어 바퀴의 부정확한 기계적 정렬, 기어의 헐거워짐, 센서 신호의 잡음과 오차, 바퀴의 미끄러짐, 평탄하지 않는 표면에 의한 제도변동 등이다. 따라서, 이동명령어 수행 시 이동로봇의 heading이 의도된 대로 유지되는지를 측정하는 오차 검출이 필요하며 이를 위한 센서 본 논문에서는 지자기센서를 이용하여 오차를 보정하였다. 실험은 무선 원격 제어되는 이동로봇에 지자기 센서를 부착하여 자계의 영향이 비교적 적은 평탄한 옥외에서 수행하였고, 실험 결과를 통해 지자기 센서를 이용한 이동로봇의 heading 오차 보정과 주행제어효과를 보여주었다.

• The Journal of Korea Robotics Society
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• v.14 no.1
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• pp.8-13
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• 2019

Visual place recognition is widely researched area in robotics, as it is one of the elemental requirements for autonomous navigation, simultaneous localization and mapping for mobile robots. However, place recognition in changing environment is a challenging problem since a same place look different according to the time, weather, and seasons. This paper presents a feature extraction method using a deep convolutional auto-encoder to recognize places under severe appearance changes. Given database and query image sequences from different environments, the convolutional auto-encoder is trained to predict the images of the desired environment. The training process is performed by minimizing the loss function between the predicted image and the desired image. After finishing the training process, the encoding part of the structure transforms an input image to a low dimensional latent representation, and it can be used as a condition-invariant feature for recognizing places in changing environment. Experiments were conducted to prove the effective of the proposed method, and the results showed that our method outperformed than existing methods.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.1-9
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• 2021

In this paper, we propose an IoT-based traffic safety pedestrian system for the elderly by factor analysis. The proposed system performs a factor analysis of the elderly safety variables and uses the analysis results to provide an optimal path for the elderly. In order to verify the performance of this system, we experimented with performance measurements on elderly pedestrian paths. As a result, we confirm that it provides a better safety path than mobile navigation.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.9-15
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• 2021

It is a challenge for visually impaired people to access unfamiliar environments independently, hence the quality of life is reduced, and safety of life is compromised. An accurate and reliable door detection system comprising of way finding and indoor navigation can be beneficial for a large number of autonomous and mobile applications for visually impaired people. This paper illustrates an image-based door detection scheme for visually impaired people using stable features (edges and corners) including color averaging and image resizing. Simulation results show that the proposed scheme shows a significant improvement when compared with existing scheme.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.25-26
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• 2011

해안선 및 해안지형은 지진활동 및 화산활동 등으로 인해 해양의 지형은 때때로 변화한다. 때문에 해양 선박 경로에는 많은 지형 변화와 기상 조건 등에 의해 큰 위험이 존재한다. 선박들은 이런 위험을 방지 또는 대책마련을 위하여 많은 장비를 탑재하여 항해의 안전을 도모한다. 대형 선박의 경우 AIS 장비 등의 도움으로 항해사의 중요한 업무를 보조하고, 주변 상황 인지를 통해 위험요소를 최대한 억제하게 된다. 하지만 대형 선박은 AIS 등과 같은 대형 장비의 탑재가 가능한 반면, 해양 근해만을 항해하게 되는 소형 선박의 경우 고가의 장비를 탑재하기 위한 비용, 공간의 제약의 부담이 있다. 이 때문에, 모바일 시스템 이용하여 항해지도 및 다양한 정보를 제공받게 된다면 비용과 공간의 제약을 크게 줄일 수 있게 된다. 따라서 본 논문에서는 모바일 시스템 이용하여 해양선박의 항해정보를 서비스할 수 있도록 지도 서비스 및 기상정보 등의 다양한 정보를 제공할 수 있는 기초를 마련하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.361-363
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• 2020

기존의 지도 또는 길 찾기 기능을 사용 할 때 방향 정보를 직관적으로 제시해주는 네비게이션 구현을 목표로, 사용 지역을 캠퍼스 내로 국한시켜 증강현실을 이용한 네비게이션을 구현하였다. 본 애플리케이션 개발에는 Mapbox maps API, ARCore, Unity 3D Engine, Android studio를 사용하였다. 사용지역을 확대시켜 Mobile device 뿐만 아니라 자동차 앞 유리 디스플레이에 접목하여 보다 다양한 서비스 제공을 기대할 수 있다.

• Proceedings of KOSOMES biannual meeting
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• 2006.05a
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• pp.177-183
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• 2006

IMO and ITU-R have done an intensive study to develop performance standards and technical standards of maritime digital communication systems, respectively. In particular, each administration strives to develop new agenda items of adopting digital new technologies. IMO COMSAR submitted draft performance standard of LRIT to IMO MSC, so that IMO mandates carriage requirement of LRIT In addition to that, COMSAR is preparing performance standard of AIS-SART, and approved the utilization of mobile phones for SAR activities. On the other hand, a new agenda item concerning E-navigation strategy was submitted to MSC 81th meeting. These challenges toward enhanced maritime radio communication systems would make it change largely the concepts of traditional navigation We suggest future directions of maritime information communication systems, investigating the study results of IMO and ITU-R.

• Journal of Korean Neurosurgical Society
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• v.63 no.2
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• pp.237-247
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• 2020

Objective : Fixation of the C1-2 segment is challenging because of the complex anatomy in the region and the need for a high degree of accuracy to avoid complications. Preoperative 3D-computed tomography (CT) scans can help reduce the risk of complications in the vertebral artery, spinal cord, and nerve roots. However, the patient may be susceptible to injury if the patient's anatomy does not match the preoperative CT scans. The intraoperative 3D image-based navigation systems have reduced complications in instrument-assisted techniques due to greater accuracy. This study aimed to compare the radiologic outcomes of C1-2 fusion surgery between intraoperative CT image-guided operation and fluoroscopy-guided operation. Methods : We retrospectively reviewed the radiologic images of 34 patients who underwent C1-2 fusion spine surgery from January 2009 to November 2018 at our hospital. We assessed 17 cases each of degenerative cervical disease and trauma in a study population of 18 males and 16 females. The mean age was 54.8 years. A total of 139 screws were used and the surgical procedures included 68 screws in the C1 lateral mass, 58 screws in C2 pedicle, nine screws in C2 lamina and C2 pars screws, four lateral mass screws in sub-axial level. Of the 34 patients, 19 patients underwent screw insertion using intraoperative mobile CT. Other patients underwent atlantoaxial fusion with a standard fluoroscopy-guided device. Results : A total of 139 screws were correctly positioned. We analyzed the positions of 135 screws except for the four screws that performed the lateral mass screws in C3 vertebra. Minor screw penetration was observed in seven cases (5.2%), and major pedicle screw penetration was observed in three cases (2.2%). In one case, the malposition of a C2 pedicle screw was confirmed, which was subsequently corrected. There were no complications regarding vertebral artery injury or onset of new neurologic deficits. The screw malposition rate was lower (5.3%) in patients who underwent intraoperative CT-based navigation than that for fluoroscopy-guided cases (10.2%). And we confirmed that the operation time can be significantly reduced by surgery using intraoperative O-arm device. Conclusion : Spinal navigation using intraoperative cone-beam CT scans is reliable for posterior fixation in unstable C1-2 pathologies and can be reduced the operative time.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.6
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• pp.26-34
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• 2008

The information of traversability and path planning is essential for UGV(Unmanned Ground Vehicle) navigation. Such information can be obtained by analyzing 3D terrain. In this paper, we present the method of 3D terrain modeling with color information from a camera, precise distance information from a 2D Laser Range Finder(LRF) and wheel encoder information from mobile robot with less data. And also we present the method of 3B terrain modeling with the information from GPS/IMU and 2D LRF with less data. To fuse the color information from camera and distance information from 2D LRF, we obtain extrinsic parameters between a camera and LRF using planar pattern. We set up such a fused system on a mobile robot and make an experiment on indoor environment. And we make an experiment on outdoor environment to reconstruction 3D terrain with 2D LRF and GPS/IMU(Inertial Measurement Unit). The obtained 3D terrain model is based on points and requires large amount of data. To reduce the amount of data, we use cubic grid-based model instead of point-based model.