Abstract: Despite much research progress in synthetic aperture radar (SAR) object detection, the performance of SAR object detection has encountered a bottleneck limited by the imaging mechanism of ...
Abstract: Recently, 3-D object detection from LiDAR point clouds has advanced rapidly, but the detection performance still has shortcomings in complex scenarios. In this article, we introduce a novel ...
Abstract: Aiming at the problem of poor edge effect segmentation in point cloud segmentation, which fails to fully utilize the correlation between the local geometric and semantic features of point ...
Abstract: Pole-like objects represent important street infrastructures for road inventory and road mapping. Existing supervised point cloud classification methods cannot correctly classify ...
This policy report is part of the UCL Institute for Innovation and Public Purpose’s (UCL IIPP) publication series. To achieve the second United Nations Sustainable Development Goal (SDG 2) – to “end ...
Abstract: Estimating the principal point for vehicle-mounted fisheye cameras is essential for accurate vision tasks. However, traditional calibration methods require human intervention and specific ...
Institute of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 17, 1090 Vienna, Austria Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, Währinger ...
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