We have one paper accepted to the IET Intelligent Transport Systems. The paper is “Confidence Analysis of Feature Points for Visual-Inertial Odometry of Urban Vehicles” by Chang-Ryeol Lee and Kuk-Jin Yoon. [Publication Link]
Confidence Analysis of Feature Points for Visual-Inertial Odometry of Urban Vehicles- Author : Chang-Ryeol Lee, Kuk-Jin Yoon – Published Date : July 2019 – Category : Visual-Inertial Odometry – Place of publication : IET Intelligent Transport Systems Abstract: Visual-Inertial Odometry (VIO) estimate ego-motion using a camera and Inertial Measurement Unit (IMU). It shows outstanding performance for…
Robust Calibration of an Ultra-Low-Cost Inertial Measurement Unit and a Camera: Handling of Severe System Uncertainty– Author : Chang-Ryeol Lee, Ju Hong Yoon and Kuk-Jin Yoon – Published Date : June 1, 2014. – Category : Calibration and Identification; Sensor Fusion; Visual-Based Control and/or Navigation; – Place of publication : The 2014 IEEE International Conference on Robotics and Automation (ICRA) Abstract Recently,…
각속도 제약조건을 적용한 초저가형 관성센서와 카메라 간의 캘리브레이션– Author : 이창렬, 윤국진 – Published Date : 2014 – Place of publication : 제26회 영상처리 및 이해에 관한 워크샵 Abstract 최근 MEMS (Micro Electro Mechanical System) 기술의 발달로 인해 초저가형 관성센서가 탑재된 Galaxy S4 (스마트폰), AR.drone (쿼드콥터)와 같은 모바일 기기들이 대중화되었다. 이로 인해 다양한 컴퓨터 비전 문제들에…
Robust IMU-camera calibration using constraints– Author : 이창렬, 윤국진 – Published Date : 2013 – Place of publication : 제25회 영상처리 및 이해에 관한 워크샵 Abstract The calibration of IMU-camera is a crucial issue for fusion of IMU and camera. Recently popularized low-cost Inertial Measurement Unit (IMU) used in common mobile devices includes large uncertainty such…
We have one paper accepted to the Sensors. The paper is “Calibration and Noise Identification of a Rolling Shutter Camera and a Low-cost Inertial Measurement Unit” by Chang-Ryeol Lee, Ju Hong Yoon, and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the International Journal of Computer Vision (IJCV). The paper is “Structural Constraint Data Association for Online Multi-Object Tracking” by Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon. [Publication Link]
Hierarchical Online Multi-object Tracking via Structural Constraint Event Aggregation– Author : Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon – Published Date : June, 2016 – Category : Multi-object Tracking – Place of publication : IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) Abstract: Multi-object tracking (MOT) becomes more challenging when objects of interest have similar appearances.…
Automatic Content-aware Projection for 360 Videos– Author : Yeong-Won Kim*, Chang-Ryeol Lee*, Dae-Yong Cho, Yong-Hoon Kwon, Hyeok-Jae Choi, and Kuk-Jin Yoon – Published Date : October, 2017 – Place of publication : IEEE International Conference on Computer Vision (ICCV) Abstract To watch 360 videos on normal 2D displays, we need to project the selected part of the 360 image onto…
Structural Constraint Data Association for Online Multi-Object Tracking– Author : Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon – Published Date : TBD – Category : Visual Tracking – Place of publication : International Journal of Computer Vision (IJCV) Abstract: Online two-dimensional (2D) multi-object tracking (MOT) is a challenging task when the objects of interest have similar…