GC-458 Traffic & Road Sign Detection Using Deep Learning
Location
https://ccse.kennesaw.edu/computing-showcase/cday-programs/fall23program.php
Document Type
Event
Start Date
30-11-2023 4:00 PM
Description
In a stride toward autonomous driving, this project aims to craft a deep learning system for detecting and classifying road signs. A dataset of 1000 varied traffic sign images form the study's core, ensuring diverse learning scenarios. Leveraging the RESNET framework and transfer learning, the model discerns signs into key categories critical for navigation. The methodology spans from data curation to RESNET training, with robust metrics planned for validation. Future work includes dataset augmentation and model optimization, enhancing adaptability and performance for intelligent transport systems.
GC-458 Traffic & Road Sign Detection Using Deep Learning
https://ccse.kennesaw.edu/computing-showcase/cday-programs/fall23program.php
In a stride toward autonomous driving, this project aims to craft a deep learning system for detecting and classifying road signs. A dataset of 1000 varied traffic sign images form the study's core, ensuring diverse learning scenarios. Leveraging the RESNET framework and transfer learning, the model discerns signs into key categories critical for navigation. The methodology spans from data curation to RESNET training, with robust metrics planned for validation. Future work includes dataset augmentation and model optimization, enhancing adaptability and performance for intelligent transport systems.