Identifying Geolocation of Roadway Assets from 2D Images (Mar 2024 – Present)
Created an AI-driven computer vision pipeline to identify geolocation of roadway assets from 2D images/video footage. Developed a YOLO-based object detection approach for road sign classification from continuous video streams. Produced geospatially accurate road sign coordinates and integrated them with downstream GIS systems. • Detected and classified road signs using YOLO • Fine-tuned depth accuracy for roadway imagery • Generated geospatial coordinates for roadway assets • Built production-grade end-to-end processing pipelines