A real-time embedded drogue detection method based on lightweight convolution neural network for autonomous aerial refueling.
Yuebo MaRujin ZhaoKun YanEnhai LiuPublished in: Neural Comput. Appl. (2022)
Keyphrases
- detection method
- lightweight
- real time embedded
- neural network
- real time systems
- face detection
- detection algorithm
- artificial neural networks
- real time
- feature detection
- digital signal processor
- neural network model
- network architecture
- image processing
- embedded systems
- computer vision
- aerial images
- rfid tags
- handheld devices
- dos attacks
- wireless sensor networks