It also covers the various algorithms implemented for the development of drone detection systems. The research work uses YOLO algorithm as it is very efficient and widely used algorithm. Using the YoloV4 model, 85% of accuracy is obtained by classifying the images of the military drones in the...
The real-time object detector, i.e., YOLOv7 (You Only Look Once) architecture, can detect the apples using drone imagery. By adding some modifications to the existing architecture with the multi-scale feature extraction and depth estimate as in Fig. 4, accurate detection and estimation of ...
Drone-YOLO: An Efficient Neural Network Method for Target Detection in Drone Imageswww.mdpi.com/2504-446X/7/8/526 期刊:Drones(中科院二区) 年份:2023.8 背景:无人机遥感物体检测方法还有两种常见的应用场景。第一个涉及使用大型台式计算机进行飞行后数据处理。无人机飞行后,捕获的数据在台式计算机上进行...
et al. YOLOv5 Drone Detection Using Multimodal Data Registered by the Vicon System. Sensors 23 (2023). Hartley, R. & Zisserman, A. Multiple view geometry in computer vision (Cambridge university press, 2003). Krzeszowski, T., Switonski, A., Zielinski, M., Wojciechowski, K. & Rosner,...
Singha S, Aydin B (2021) Automated drone detection using YOLOv4. Drones 5(3):95 Article Google Scholar Seidaliyeva U, Akhmetov D, Ilipbayeva L, Matson ET (2020) Real-time and accurate drone detection in a video with a static background. Sensors 20(14):3856 Article Google Scholar ...
Detecting small objects in complex scenes, such as those captured by drones, is a daunting challenge due to the difficulty in capturing the complex features of small targets. While the YOLO family has achieved great success in large target detection, its performance is less than satisfactory when...
To create our dataset of drone and bird images for real-world detection using YOLO, we utilized Roboflow software. Roboflow allowed us to efficiently edit and manipulate the dataset, using AI assistance for bounding boxes, polygons, and instance segmentation. By using publicly accessible models, we...
Therefore, using deep learning for target detection in UAV aerial videos has important research value and significance. At present, YOLOv4 is the most popular target detection method based on deep learning with high speed and accuracy. However, the YOLOv4 experiment was usually carried out in the...
git clone https://github.com/chengshuxiao/YOLOv5-ODConvNeXt.git # clone cd YOLOv5-ODConvNeXt pip install -r requirements.txt # install Inference with detect.py A trained YOLOv5-ODConvNeXt model is provided in checkpoints/yolov5-odconvnext.pt,the detection results are saved in runs/detect py...
YOLO 4 model for night vision. With adequate training of two different scenarios – day and night, the drone detection models respectively with appropriate weights are developed. Using the ensemble learner, these two models are integrated with DroneSilient_RFModule to provide accurate detection of ...