![]() In this research study, we mainly focus on the process of drone simulation in the MATLAB-based Simulink model. The dataset is annotated and is freely downloadable from. Additionally, these simulated images are annotated for aerial image interpretation with multiple object categories. In this customized model, few modifications have been made to obtain drone videos to detect object categories such as pedestrians, other drones and obstacles while navigating in a simulated environment. The core objective of the paper is to create a simulated dataset from the utilized quadcopter-based flight control model in MATLAB-based Simulink. In this paper, we focused on the study of MATLAB-based Simulink through multiple environment settings. Our work inspired simulators and can be considered by engineering students to create a dataset in a simulated environment. To reduce human efforts, multiple simulators have been utilized to mimic the real-time behavior of drones. There is a need for a simulated UAV dataset to incorporate a pipeline for various algorithms. The understanding and implementation of object detection and classification algorithms help in deploying diverse applications of UAVs.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |