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3D mapping and photogrammetry sensor payload for unmanned aerial vehicles

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dc.contributor.author Purdon, Kyla
dc.contributor.author Van Niekerk, T
dc.contributor.author Phillips, R
dc.contributor.author Marais, Stephen T
dc.date.accessioned 2024-03-19T07:47:53Z
dc.date.available 2024-03-19T07:47:53Z
dc.date.issued 2023-11
dc.identifier.citation Purdon, K., Van Niekerk, T., Phillips, R. & Marais, S.T. 2023. 3D mapping and photogrammetry sensor payload for unmanned aerial vehicles. http://hdl.handle.net/10204/13644 . en_ZA
dc.identifier.issn 2261-236X
dc.identifier.uri https://doi.org/10.1051/matecconf/202338804013
dc.identifier.uri http://hdl.handle.net/10204/13644
dc.description.abstract Unmanned Aerial Vehicles (UAVs) have shown great potential for data collection and monitoring of areas. Sensors such as LiDARs and cameras can be used on UAVs for high-resolution data collection and used for various applications like Digital Surface Models (DSM), photogrammetry, inspection systems, and maintenance applications. This paper describes the design and implementation of a sensor payload for UAVs using a LiDAR sensor, camera, Inertial Measurement Unit (IMU), and Global Positioning System (GPS). The payload collects data that can be used to georeference LiDAR and camera data, which can later be used to generate a georeferenced map and perform object detection and classification. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://www.matec-conferences.org/articles/matecconf/pdf/2023/15/matecconf_rapdasa2023_04013.pdf en_US
dc.source RAPDASA-RobMech-PRASA-AMI Conference, CSIR International Convention Centre, Pretoria, South Africa, 30 October – 2 November 2023 en_US
dc.subject Unmanned aerial vehicles en_US
dc.subject UAVs en_US
dc.subject LIDAR sensor en_US
dc.subject Inertial measurement unit en_US
dc.subject IMU en_US
dc.title 3D mapping and photogrammetry sensor payload for unmanned aerial vehicles en_US
dc.type Conference Presentation en_US
dc.description.pages 16 en_US
dc.description.note © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/). en_US
dc.description.cluster Manufacturing en_US
dc.description.impactarea Industrial Robotics en_US
dc.description.impactarea Industrial AI en_US
dc.identifier.apacitation Purdon, K., Van Niekerk, T., Phillips, R., & Marais, S. T. (2023). 3D mapping and photogrammetry sensor payload for unmanned aerial vehicles. http://hdl.handle.net/10204/13644 en_ZA
dc.identifier.chicagocitation Purdon, Kyla, T Van Niekerk, R Phillips, and Stephen T Marais. "3D mapping and photogrammetry sensor payload for unmanned aerial vehicles." <i>RAPDASA-RobMech-PRASA-AMI Conference, CSIR International Convention Centre, Pretoria, South Africa, 30 October – 2 November 2023</i> (2023): http://hdl.handle.net/10204/13644 en_ZA
dc.identifier.vancouvercitation Purdon K, Van Niekerk T, Phillips R, Marais ST, 3D mapping and photogrammetry sensor payload for unmanned aerial vehicles; 2023. http://hdl.handle.net/10204/13644 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Purdon, Kyla AU - Van Niekerk, T AU - Phillips, R AU - Marais, Stephen T AB - Unmanned Aerial Vehicles (UAVs) have shown great potential for data collection and monitoring of areas. Sensors such as LiDARs and cameras can be used on UAVs for high-resolution data collection and used for various applications like Digital Surface Models (DSM), photogrammetry, inspection systems, and maintenance applications. This paper describes the design and implementation of a sensor payload for UAVs using a LiDAR sensor, camera, Inertial Measurement Unit (IMU), and Global Positioning System (GPS). The payload collects data that can be used to georeference LiDAR and camera data, which can later be used to generate a georeferenced map and perform object detection and classification. DA - 2023-11 DB - ResearchSpace DP - CSIR J1 - RAPDASA-RobMech-PRASA-AMI Conference, CSIR International Convention Centre, Pretoria, South Africa, 30 October – 2 November 2023 KW - Unmanned aerial vehicles KW - UAVs KW - LIDAR sensor KW - Inertial measurement unit KW - IMU LK - https://researchspace.csir.co.za PY - 2023 SM - 2261-236X T1 - 3D mapping and photogrammetry sensor payload for unmanned aerial vehicles TI - 3D mapping and photogrammetry sensor payload for unmanned aerial vehicles UR - http://hdl.handle.net/10204/13644 ER - en_ZA
dc.identifier.worklist 27467 en_US


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