89 citations
- Advanced Institute of Convergence TechnologyKR1 paper
- Ajou UniversityKR1 paper
- Chinese Academy of SciencesCN1 paper
- Columbia UniversityUS1 paper
- Earth Island InstituteUS1 paper
- Goddard Institute for Space StudiesUS1 paper
- Institute of Atmospheric PhysicsCN1 paper
- Integra (United States)US1 paper
- Korea Aerospace UniversityKR1 paper
- Korea Electric Power Corporation (South Korea)KR1 paper
- Korea University of Science and TechnologyKR1 paper
- Kyushu UniversityJP1 paper
5 papers
Shape-Aware Topological Representation for Pipeline Hyperbola Detection in GPR Data
Meiyan Kang, Shizuo Kaji, Sang-Yun Lee +3
Ground Penetrating Radar (GPR) is a widely used Non-Destructive Testing (NDT) technique for subsurface exploration, particularly in infrastructure inspection and maintenance. Howev…
Global warming in the pipeline
James E. Hansen, Makiko Sato, Leon Simons +14
Improved knowledge of glacial-to-interglacial global temperature change implies that fast-feedback equilibrium climate sensitivity (ECS) is 1.2 +/- 0.3°C (2) per W/m. Consis…
An overcome of far-distance limitation on tunnel CCTV-based accident detection in AI deep-learning frameworks
Kyu-Beom Lee, Hyu-Soung Shin
Tunnel CCTVs are installed to low height and long-distance interval. However, because of the limitation of installation height, severe perspective effect in distance occurs, and it…
An application of a deep learning algorithm for automatic detection of unexpected accidents under bad CCTV monitoring conditions in tunnels
Kyu-Beom Lee, Hyu-Soung Shin
In this paper, Object Detection and Tracking System (ODTS) in combination with a well-known deep learning network, Faster Regional Convolution Neural Network (Faster R-CNN), for Ob…
Self-enhancement of automatic tunnel accident detection (TAD) on CCTV by AI deep-learning
Kyu-Beom Lee, Hyu-Soung Shin
The deep-learning-based tunnel accident detection (TAD) system (Lee 2019) has installed a system capable of monitoring 9 CCTVs at XX site in November, 2018. The initial deep-learni…