Algorithm-hardware Co-optimization for Energy-efficient Drone Detection on Resource-constrained FPGA

Keyphrases

• Energy Efficient 100%
• Resource-constrained 100%
• Single Shot multibox Detector 100%
• Drone Detection 100%
• Co-optimization 100%
• FPGA Device 75%
• Mean Average Precision 75%
• Drone Dataset 75%
• Drone 50%
• High Energy Efficiency 50%
• PASCAL VOC 50%
• FPGA Hardware 50%
• Multi-drone 50%
• Energy Efficiency 25%
• Neural Network 25%
• UAV 25%
• Memory Storage 25%
• Proposed Design 25%
• Efficient Inference 25%
• Low Power Consumption 25%
• Object Detection 25%
• Hardware Platform 25%
• Self-localization 25%
• Formation Control 25%
• Communication Optimization 25%
• Throughput Optimization 25%
• Convolutional Neural Network 25%
• Self-formation 25%
• Analysis Accuracy 25%
• COCO Dataset 25%
• Computer Version 25%
• Hardware Devices 25%
• Convolutional Neural Network Model 25%
• Object Detection Algorithm 25%
• Xilinx Zynq 25%
• MobileNetV1 25%
• Surveillance Drones 25%
• Low-bit Quantization 25%
• Dual Data Rate 25%
• Resource Constrained Hardware 25%
• Unmanned Aerial Vehicle Detection 25%
• Algorithmic Modeling 25%
• Hardware Efficiency 25%
• VOC Dataset 25%

Computer Science

• Energy Efficient 100%
• Field Programmable Gate Arrays 100%
• Computer Hardware 100%
• Energy Efficiency 42%
• Mean Average Precision 42%
• Convolutional Neural Network 28%
• Unmanned Aerial Vehicle 28%
• Neural Network Model 14%
• Object Detection 14%
• Hardware Platform 14%
• Formation Control 14%
• Hardware Device 14%
• Vehicle Detection 14%
• low-power consumption 14%
• Object Detection Algorithm 14%
• Computer Vision 14%