Springer Nature OA
open access
Edge-Optimized YOLO Model for Active Mobility Detection in Citizen-Led Urban Analytics
Urban mobility monitoring requires accurate, real-time object detection under the computational constraints of edge devices. This study develops a lightweight deep learning model to support Citizen-led Automated Modal Infrastructure Analytics (CAMINA), a community-driven approach that emphasizes act
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