Object detectionAerial imageDeep learningAttention mechanismSwin transformerA multi-attention fusion network aims to improve aerial images' detection accuracy.Multi-attention focusing sub-network is designed to solve objects uneven distribution.MS Swin transformer is devised to improve the model's feature ...
Recently, after the rapid development of deep learning [28, 29], many researchers began to focus on object detection models using Convolutional Neural Networks (CNN). With the efforts of researchers, many new detection methods have been successively proposed, including (Spatial Pyramid Pooling Net ...
The depth camera model will be implemented in the simulation and compared to the real camera values using the coefficient of determination. 2.1. Stereo IR Depth Camera A Stereo IR depth camera comprises an IR projector and two IR cameras. The IR projector emits a dot pattern on the front of...
Additionally, object detection, recognition, feature extraction, and image fusion algorithms can typically be adapted for both IR and visible light images, leveraging shared features and patterns. However, notable differences emerge, primarily related to spectral characteristics, illumination, noise, ...
Efficient Drone-Based Rare Plant Monitoring Using a Species Distribution Model and Ai-Based Object Detection. Drones 2021, 5, 110. [Google Scholar] [CrossRef] Swacha, G.; Botta-Dukát, Z.; Kącki, Z.; Pruchniewicz, D.; Żołnierz, L. A Performance Comparison of Sampling Methods ...
Efficient Drone-Based Rare Plant Monitoring Using a Species Distribution Model and Ai-Based Object Detection. Drones 2021, 5, 110. [Google Scholar] [CrossRef] Swacha, G.; Botta-Dukát, Z.; Kącki, Z.; Pruchniewicz, D.; Żołnierz, L. A Performance Comparison of Sampling Methods ...
Therefore, the proposed framework is only useful for RGB images, and in the case of using multispectral data, the pre-trained weights must be ignored. However, other object detection methods such as fully convolutional network (FCN) architectures would be another option. The proposed framework was...
7.5. Laser Range Finders (LRFs) Laser range finders (LRFs) are expensive sensors commonly used for obstacle detection in drone technology. In LRFs, a laser beam is radiated to an obstacle, and by receiving a reflected wave and considering time-of-flight, the distance to an object can be ...