Issue |
MATEC Web Conf.
Volume 388, 2023
2023 RAPDASA-RobMech-PRASA-AMI Conference Advanced Manufacturing Beyond Borders - The 24th Annual International RAPDASA Conference joined by RobMech, PRASA and AMI, hosted by CSIR and CUT
|
|
---|---|---|
Article Number | 04013 | |
Number of page(s) | 16 | |
Section | Robotics and Mechatronics | |
DOI | https://doi.org/10.1051/matecconf/202338804013 | |
Published online | 15 December 2023 |
3D mapping and photogrammetry sensor payload for unmanned aerial vehicles
1 Centre for Robotics and Future Production, CSIR, Pretoria, South Africa
2 Mechatronics Department, Nelson Mandela University, Port Elizabeth, South Africa
3 Mechanical Department, Nelson Mandela University, Port Elizabeth, South Africa
* Corresponding author: kpurdon@csir.co.za
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.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.