Results 31 to 40 of about 42,818 (261)
EXTRACTION AND SHAPE RECONSTRUCTION OF GUARDRAILS USING MOBILE MAPPING DATA [PDF]
The mobile mapping system (MMS) can acquire dense point-clouds of roads and roadside features. Roads are often separated into roadways and walkways in many urban areas. Since guardrails are installed to separate roadways and sidewalks, it is important to
H. Matsumoto, Y. Mori, H. Masuda
doaj +1 more source
Labelling point clouds in VR [PDF]
Recent advancements in Virtual Reality (VR) technology have extended its applications beyond entertainment, offering promising tools for professional fields such as 3D data annotation.
C. R. Fol +7 more
doaj +1 more source
DETECTION OF SLOPE MOVEMENT BY COMPARING POINT CLOUDS CREATED BY SFM SOFTWARE [PDF]
This paper proposes movement detection method between point clouds created by SFM software, without setting any onsite georeferenced points. SfM software, like Smart3DCaputure, PhotoScan, and Pix4D, are convenient for non-professional operator of ...
K. Oda, S. Hattori, T. Takayama
doaj +1 more source
Airborne LiDAR Strip Adjustment Method Based on Point Clouds with Planar Neighborhoods
Airborne light detection and ranging (LiDAR) data are increasingly used in various fields such as topographic mapping, urban planning, and emergency management.
Zhenxing Sun +3 more
doaj +1 more source
Accurate registration of MMS point clouds of urban areas using trajectory [PDF]
Recently, by Mobile Mapping System (MMS) with laser scanners, a GPS and IMU (Inertial Measurement Unit), 3D point clouds of urban areas (MMS point clouds) are easily acquired.
S. Takai +5 more
doaj +1 more source
Evaluating the Quality of Semantic Segmented 3D Point Clouds
Recently, 3D point clouds have become a quasi-standard for digitization. Point cloud processing remains a challenge due to the complex and unstructured nature of point clouds.
Eike Barnefske, Harald Sternberg
doaj +1 more source
Within this study, we present a pioneering cross-platform point cloud registration (PCR) framework aimed at the automated alignment of UAV and terrestrial forest LiDAR point clouds.
Ge Xuming +5 more
doaj +1 more source
Instance Segmentation of Sparse Point Clouds with Spatio-Temporal Coding for Autonomous Robot
In the study of Simultaneous Localization and Mapping (SLAM), the existence of dynamic obstacles will have a great impact on it, and when there are many dynamic obstacles, it will lead to great challenges in mapping. Therefore, segmenting dynamic objects
Na Liu +5 more
doaj +1 more source
Since 2017, many deep learning methods for 3-D point clouds observed by airborne LiDAR (airborne 3-D point clouds) have been proposed. Moreover, not only a deep learning method for airborne 3-D point clouds but also a deep learning method for points and ...
Takayuki Shinohara +2 more
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source

