Skip to content
Extra Form
Abstract Situational awareness is one of the most essential abilities of unmanned vessels. Even in the case of manned vessels, situational awareness can contribute to safe navigation by detecting and alerting potential collisions. Although radar and AIS(Automatic Identification System) are widely used for detection, it is necessary to use vision cameras that can take place of human eyes to detect near objects and identify object types. In this study, we performed machine vision based object detection and tracking for the situational awareness in maritime environment. For object detection, the state-of-the-art detection algorithms and their various backbone CNN(Convolutional Neural Network) models were applied; a two-stage detection model derived from Faster R-CNN and a single-stage detection model based on YOLO were implemented and tested in this study. The performance in mAP(mean average precision) score of each detection model was evaluated and compared. For object tracking, we surveyed not only conventional correlation filtering algorithms but also deep learning algorithms using LSTM(Long Short-Term Memory) network models. All the trainable detection and tracking models were trained by maritime domain image dataset. Performance of each model was estimated under maritime visionary environment.
Publication Date 2019-09-24

Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, Youngsoo Seok, Won-Jae Lee, June-Beom Lee, Hyun Soo Kim, "Image-based Object Detection and Tracking Method for Ship Navigation," Proceedings of ICCAS(International Conference on Computer Applications in Shipbuilding) 2019, Rotterdam, Netherlands, pp. 89-92, 2019.09.24-26


List of Articles
번호 분류 제목 Publication Date
» International Conference Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, Youngsoo Seok, Won-Jae Lee, June-Beom Lee, Hyun Soo Kim, "Image-based Object Detection and Tracking Method for Ship Navigation," Proceedings of ICCAS 2019, Rotterdam, Netherlands, pp. 89-92, 2019.09.24-26 file 2019-09-24
354 Conference Chairman Session 7 (Ship & Ocean Engineering), 2019년도 한국CDE학회 학술발표회, 횡성, 2019.01.23-26 2019-01-24
353 Conference Chairman 설계 및 법규 1 (A3), 2019년도 한국해양공학회 춘계학술발표회, 제주, 2019.05.15-17 2019-05-16
352 International Conference Jong-Hyeok Lee, Myung-Il Roh, Jin-Hyeok Kim, Sung-Jun Lee, Seung-Ho Ham, "Development of a Ship Navigation Simulator Based on Digital Twin Technology", Proceedings of ACDDE 2019, Penang, Malaysia, pp. 245, 2019.07.07-10 file 2019-07-08
351 International Conference Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Control of the Underactuated Gantry Crane for the Block Erection Operation in the Shipyard", MIM 2019, Berlin, Germany, 2019.08.28-30 file 2019-08-29
350 International Conference Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, Kuk-Jin Kang, Seong-Yeob Jung, "Arctic Sea Route Planning Based on POLARIS Rule", Proceedings of ISOPE 2019, Honolulu, Hawaii, pp. 875-877, 2019.06.16-21 file 2019-06-20
349 International Conference Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, Do-Hyun Chun, "Controller Design of a Gantry Crane for the Safe Erection of Blocks in Shipyards", Proceedings of PRADS 2019, Yokohama, Japan, 2019.09.22-26 file 2019-09-22
348 International Conference Ki-Su Kim, Myung-Il Roh, "Optimal Arrangement Method of a Ship Considering the Performance against Flooding", Proceedings of PRADS 2019, Yokohama, Japan, 2019.09.22-26 file 2019-09-22
347 Domestic Conference 이원재, 노명일, 이성준, 석영수, 오민재, "스케일 정규화를 통한 딥러닝 기반의 선박 이미지 인식 정확도 향상 방법 연구", 2019년도 대한조선학회 춘계학술발표회, 제주, pp. 340, 2019.05.15-17 file 2019-05-17
346 Domestic Conference 이성준, 노명일, 석영수, 이원재, 오민재, 김현수, "멀티스케일 및 다단계 탐지 방법을 활용한 고성능 선박 이미지 인식 방법", 2019년도 대한조선학회 춘계학술발표회, 제주, pp. 333, 2019.05.15-17 file 2019-05-16
Board Pagination Prev 1 ... 6 7 8 9 10 11 12 13 14 15 ... 46 Next
/ 46

Powered by Xpress Engine / Designed by Sketchbook

sketchbook5, 스케치북5

sketchbook5, 스케치북5

나눔글꼴 설치 안내


이 PC에는 나눔글꼴이 설치되어 있지 않습니다.

이 사이트를 나눔글꼴로 보기 위해서는
나눔글꼴을 설치해야 합니다.

설치 취소