The Accelerated Inference of a Novel Optimized YOLOv5-LITE on Low-Power Devices for Railway Track Damage Detection.
Chao DangZaixing WangYonghuan HeLinchang WangYi CaiHuiji ShiJiachi JiangPublished in: IEEE Access (2023)
Keyphrases
- low power
- damage detection
- low power consumption
- low cost
- high speed
- power consumption
- single chip
- damage assessment
- wavelet transformation
- mobile devices
- neuro fuzzy
- logic circuits
- vlsi circuits
- embedded systems
- real time
- image sensor
- digital signal processing
- vlsi architecture
- cmos technology
- power reduction
- power dissipation
- smart phones
- expert systems
- mixed signal
- decision making