%PDF-1.4 % 1 0 obj << /Type /Pages /Count 1 /Kids [ 2 0 R ] >> endobj 2 0 obj << /Type /Page /Parent 1 0 R /Resources << /ProcSet [ /PDF /Text /ImageB /ImageC /ImageI ] /Font << /QuickPDFF8fbc1759 70 0 R /QuickPDFF2337cfef 113 0 R >> >> /Contents [ 5 0 R ] /MediaBox [ 0 0 595.2756 841.8898 ] /CropBox [ 0 0 595.2756 841.8898 ] >> endobj 3 0 obj << /Type /Catalog /Pages 1 0 R /Metadata 114 0 R >> endobj 4 0 obj << /Producer (Debenu Quick PDF Library 11.15 \(www.debenu.com\)) /Creator (Debenu Quick PDF Library 11.15 \(www.debenu.com\)) /CreationDate (D:20200415102634+02'00') /ModDate (D:20200415102634+02'00') >> endobj 5 0 obj << /Length 2753 /LC /iSQP >> stream 0 Tr /QuickPDFF2337cfef 14 Tf 0 0 0 rg 100 Tz 0 Tw 0 Tc 0 Ts BT 1 0 0 1 92.3208 770.8329 Tm (Quantitative Assessment of Structural Components for Construction)Tj 1 0 0 1 175.1378 752.1709 Tm (Management Using Laser Scanning Data)Tj ET /QuickPDFF2337cfef 11 Tf 0 0 0 rg BT 1 0 0 1 155.9908 717.2179 Tm (Linh Truong-Hong and Roderik Lindenbergh \(Netherlands\))Tj ET /QuickPDFF2337cfef 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 675.188 Tm 14.663 TL (Key words: )' ET /QuickPDFF8fbc1759 11 Tf 0 0 0 rg BT 1 0 0 1 141.7323 675.188 Tm 14.454 TL (Deformation measurement; Engineering survey; Laser scanning)' ET /QuickPDFF2337cfef 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 646.8416 Tm 14.663 TL (SUMMARY)' ET /QuickPDFF8fbc1759 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 618.4951 Tm 14.454 TL (A great achievement of laser scanning platforms allows to acquire three-dimensional \(3D\) topographic data)' (of structures surfaces in a construction site quickly and accurately. A current terrestrial laser scanner \(TLS\))' (can capture more than a million points per second with a sub-millimetre accuracy. This technology has been)' (gradually implemented in evaluating progress, quality and quantity, and visualisation for construction)' (management. However, a post-processing point cloud requires intensive labour work because of the)' (complexity of the construction site and big data. The goal of the paper is to develop the algorithm to)' (automatically access structural components for quality control of the construction project. The proposed)' (method is focused to evaluate the flatness of the floors. First, the method starts to automatically extract the)' (point clouds of the floors from the massive data points of the construction site acquired from a terrestrial)' (laser scanner, which is done based on a combination of two-dimensional \(2D\) cell grids and a kernel density)' (estimation based on z coordinates of the points within the cell. Additionally, to eliminate impact of the noise)' (data to resulted flatness, a cell-based method is next proposed to measure the flatness of the floor. The)' (proposed method is tested on a point cloud of the construction site acquired from the TLS and the)' (performance of the method in term of an accuracy and executing time is also reported.)' ET /QuickPDFF8fbc1759 10 Tf 0 0 0 rg BT 1 0 0 1 56.6929 150.7097 Tm 13.14 TL (__________________________________________________________________________________________)' ()' (Quantitative Assessment of Structural Components for Construction Management Using Laser Scanning Data \(10576\))' (Linh Truong-Hong and Roderik Lindenbergh \(Netherlands\))' ()' (FIG Working Week 2020)' (Smart surveyors for land and water management)' (Amsterdam, the Netherlands, 1014 May 2020)' ET endstream endobj 6 0 obj << /Length 316 /Filter /FlateDecode >> stream xMRKnCAۿSpk`y^Uu[jIɒT%C/:b}Rx\%=
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