K. Hanuman Sai
S. Madhusudan
- Student Mechanical Engineering, Usha Rama College of Engineering and Technology (A), Vijayawada Andhra Pradesh India
- Professor and Head Mechanical Engineering, Usha Rama College of Engineering and Technology (A), Vijayawada Andhra Pradesh India
Abstract
The LIDAR-Equipped UAV’s Compact Drone is an innovative unmanned aerial vehicle (UAV) that combines the power of LIDAR technology with a lightweight and agile design. This abstract highlights the capabilities and potential applications of the compact drone, equipped with a LIDAR sensor, for precision data acquisition and advanced aerial mapping. The core feature of the LIDAR-Equipped UAV’s Compact Drone is its integration of a miniaturized LIDAR sensor, enabling high-precision distance measurements and three-dimensional point cloud generation. The drone’s lightweight and streamlined structure facilitate enhanced flight performance, making it ideal for maneuvering in tight spaces and complex environments.
Keywords: LIDAR, UAV (Unmanned Aerial Vehicle), Compact drone, Miniaturized LIDAR sensor, Precision data acquisition, 3D point cloud, Agile design.
[This article belongs to International Journal of Robotics and Automation in Mechanics(ijram)]
References
- Rieke, M., & Hirschmüller, H. (2011). 3D mapping with an autonomous MAV using sparse extended information filters. Journal of Field Robotics, 28(6), 810-841.
- Wang, Y., Zhang, M., & Wang, Y. (2019). UAV-based LIDAR technology for forest and environment. In 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 4370-4373). IEEE.
- Smith, M. L., Pernkopf, L., & Hellmund, J. (2019). Lidar sensor and system for a drone. U.S. Patent No. 10,238,200. Washington, DC: U.S. Patent and Trademark Office.
- Crocombe, R. A., & Osorio, M. (2018). Mapping archaeology with Lidar-equipped UAVs: advances and challenges. Journal of Computer Applications in Archaeology, 1(1), 64-73.
- Xie, S., Wang, L., & Fang, Y. (2021). UAV remote sensing technology based on lidar and its application in forestry. Journal of Imaging, 7(2), 35.
- Anderson, K., Gaston, E., & Tekin, C. (2018). Drone 3D Lidar systems: an analysis of existing and emerging technology. ISPRS International Journal of Geo-Information, 7(3), 109.
- Mielke, C., Zheng, L., Zell, A., & Rottensteiner, F. (2020). LiDAR-UAV multispectral time series for crop identification. Remote Sensing, 12(1), 74.
- James, D. B., & Robson, S. (2012). Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application. Journal of Geophysical Research: Earth Surface, 117(F3).
- Zhang, H., & Pfeifer, N. (2017). LIDAR mapping from UAV: a review. Photogrammetric Engineering & Remote Sensing, 83(1), 14-30.
| Volume | 01 |
| Issue | 01 |
| Received | August 21, 2023 |
| Accepted | September 18, 2023 |
| Published | December 27, 2023 |