Qinqin Tang

ORCID: 0000-0002-0638-1663
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About
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Research Areas
  • Geological formations and processes
  • Robotic Path Planning Algorithms
  • 3D Surveying and Cultural Heritage
  • Robotics and Sensor-Based Localization
  • Geological and Geophysical Studies
  • Geotechnical Engineering and Soil Mechanics
  • Geotechnical Engineering and Soil Stabilization
  • Geotechnical Engineering and Analysis
  • earthquake and tectonic studies
  • Geology and Paleoclimatology Research
  • Methane Hydrates and Related Phenomena

Kiel University
2022

Abstract Submarine mega‐slides involving hundreds of cubic kilometers slope material pose a major threat due to their potential destroy offshore infrastructure and trigger devastating tsunamis. The Sahara Slide Complex affected about 50,000 km 2 the northwestern (NW) African continental margin. Previous studies focused either on its distal depositional zone or uppermost headwall area, but failed in reconstructing succession individual slide events within entire area. New hydroacoustic data...

10.1029/2021gc010283 article EN cc-by-nc Geochemistry Geophysics Geosystems 2022-06-21

The Northwest (NW) African continental margin is well known for the occurrence of large-scale submarine landslides with prominent scarps exposed at seafloor. Previous studies primarily focused on major landslides, but rarely covered small scarps. It unclear if distribution along NW biased by availability processed data because were collected mainly in designated surveys areas special interest. Numerous multibeam bathymetric sets, however, are available area as also during transits and...

10.5194/egusphere-egu23-8985 preprint EN 2023-02-25

Background Since visual SLAM is mostly based on the assumption of a static scene, presence dynamic objects in frame causes problems such as deterioration system robustness and inaccurate position estimation. In this paper, we propose YGC-SLAM for indoor environments ORB-SLAM2 framework combined with semantic geometric constraints to improve positioning accuracy system. Methods First, recognition YOLOv5 improved by introducing CBAM attention mechanism EIOU loss function, prediction converges...

10.2139/ssrn.4634817 preprint EN 2023-01-01
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