Crack Severity Detection from Mobile Infrastructure Images
Developed a crack severity detection module for intelligent road and traffic situation detection using mobile infrastructure image sensors.
Computer Vision Road Safety Deep Learning
A selection of projects across machine learning systems, optimization, and developer tools. Each entry includes a short description, technical tags, and links to code, demos, or papers.
Developed a crack severity detection module for intelligent road and traffic situation detection using mobile infrastructure image sensors.
Contributed to an integrated software framework for NPU-based computation of time-series deep learning applications.
Built large-scale C-ITS data processing algorithms and implemented most of the module code (29 out of 35).
A deep learning framework that evaluates pedestrian potential risk at non-signalized intersections using predicted surrogate safety metrics.