%PDF-1.4 % 1 0 obj << /Type /Pages /Count 2 /Kids [ 2 0 R 114 0 R ] >> endobj 2 0 obj << /Type /Page /Parent 1 0 R /Resources << /ProcSet [ /PDF /Text /ImageB /ImageC /ImageI ] /Font << /QuickPDFFd9e0485b 72 0 R /QuickPDFF7010c3b4 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 116 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:20220919115634+02'00') /ModDate (D:20220919115636+02'00') >> endobj 5 0 obj << /Length 3266 /LC /iSQP >> stream 0 Tr /QuickPDFF7010c3b4 14 Tf 0 0 0 rg 100 Tz 0 Tw 0 Tc 0 Ts BT 1 0 0 1 110.3948 770.8329 Tm (UAV Multi-Sensor Payloads for High Precision Aerial Surveys)Tj ET /QuickPDFF7010c3b4 11 Tf 0 0 0 rg BT 1 0 0 1 158.6033 731.3912 Tm (Mohamed Mostafa, Srdjan Sobol and Joe Hutton \(Canada\))Tj ET /QuickPDFF7010c3b4 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 689.3613 Tm 14.663 TL (Key words: )' ET /QuickPDFFd9e0485b 11 Tf 0 0 0 rg BT 1 0 0 1 141.7323 689.3613 Tm 14.454 TL (Engineering survey; Laser scanning; Mine surveying; Photogrammetry; Positioning;)' (Remote sensing; UAV; Aerial survey; LiDAR; Camera; Georeferencing; GNSS/IMU)' ET /QuickPDFF7010c3b4 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 646.8416 Tm 14.663 TL (SUMMARY)' ET /QuickPDFFd9e0485b 10 Tf 0 0 0 rg BT 1 0 0 1 56.6929 150.7097 Tm 13.14 TL (__________________________________________________________________________________________)' ()' (UAV Multi-Sensor Payloads for High Precision Aerial Surveys \(11485\))' (Mohamed Mostafa, Srdjan Sobol and Joe Hutton \(Canada\))' ()' (FIG Congress 2022)' (Volunteering for the future - Geospatial excellence for a better living)' (Warsaw, Poland, 1115 September 2022)' ET /QuickPDFFd9e0485b 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 618.4951 Tm 14.454 TL (A variety of multi-sensor system payloads have been implemented onboard modern Unmanned Aerial)' (Systems over the past decade for a variety of civilian applications including aerial surveying and mapping.)' (The entire Surveying industry has been evolving by implementing drones in their daily surveying and)' (mapping activities over the last decade. Some UAV payloads, however, necessitate the presence of numerous)' (ground control points \(GCPs\) which almost defeats the purpose of surveying the land from the air.)' ()' (This paper focuses on presenting the integration of professional-grade aerial survey sensors including GNSS,)' (IMU, cameras, and LiDAR for high precision aerial surveys without the need for ground control points. The)' (integration of the abovementioned sensors as a payload of a drone allows for precisely surveying any)' (topography to produce a variety of 2D and 3D mapping products including orthomosaics, digital surface)' (models \(DSM\), colorized point clouds, planimetric maps, topographic maps, etc. For a successful integration)' (of a multi-sensor system as a drone payload, a number of integration parameters need to properly be)' (addressed including individual sensor calibration \(such as camera calibration\) as well as spatial offsets \(e.g.,)' (lever arms\) and orientation misalignments \(boresight\), etc. Camera and/or LiDAR boresight calibration)' (requires a certain flight pattern, processing mechanism, etc. This paper presents the best practice for system)' (calibration.)' ()' (To conduct a successful drone surveying mission, proper project planning, flight planning, data acquisition,)' (data processing, quality assurance and quality control are all needed to end up with a successful, accurate,)' (and consistent mapping product. Therefore, this paper will address the best practices for the entire recipe of)' (high precision aerial survey by drones.)' ()' (While presenting the best practice for system integration and calibration, the results of multiple )' ET endstream endobj 6 0 obj << /Length 316 /Filter /FlateDecode >> stream xMRKnCAۿSpk`y^Uu[jIɒT%C/:b}Rx\%=
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