3 papers
cs.CV2025
Efficient Edge Deployment of Quantized YOLOv4-Tiny for Aerial Emergency Object Detection on Raspberry Pi 5
Sindhu Boddu, Arindam Mukherjee
This paper presents the deployment and performance evaluation of a quantized YOLOv4-Tiny model for real-time object detection in aerial emergency imagery on a resource-constrained…
cs.CV2025
Lightweight Object Detection Using Quantized YOLOv4-Tiny for Emergency Response in Aerial Imagery
Sindhu Boddu, Arindam Mukherjee
This paper presents a lightweight and energy-efficient object detection solution for aerial imagery captured during emergency response situations. We focus on deploying the YOLOv4-…
cs.CV2025
YOLOv5-Based Object Detection for Emergency Response in Aerial Imagery
Sindhu Boddu, Arindam Mukherjee
This paper presents a robust approach for object detection in aerial imagery using the YOLOv5 model. We focus on identifying critical objects such as ambulances, car crashes, polic…