Purdon, KylaVan Niekerk, TPhillips, RMarais, Stephen T2024-03-192024-03-192023-11Purdon, 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 .2261-236Xhttps://doi.org/10.1051/matecconf/202338804013http://hdl.handle.net/10204/13644Unmanned 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.FulltextenUnmanned aerial vehiclesUAVsLIDAR sensorInertial measurement unitIMUConference PresentationPurdon, K., Van Niekerk, T., Phillips, R., & Marais, S. T. (2023). 3D mapping and photogrammetry sensor payload for unmanned aerial vehicles. http://hdl.handle.net/10204/13644Purdon, 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/10204/13644Purdon 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 .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 -27467