Enhancing Driving Safety Through Integrated Visual Intelligence: Lane Recognition via CNN and Object Detection via Groq API
Implemented a dual-intelligence approach that combines custom CNN-based land detection with Groq API-powered road object recognition
Project created by:
Caleb Traxler Dept Information and Computer Sciences, University of California Irvine traxlerc@uci.edu
Samuel Townsend Dept Information and Computer Sciences, University of California Irvine smaueltown@gmail.com
Testing Data and Information about the TuSimple Dataset can be found here: https://www.kaggle.com/datasets/manideep1108/tusimple/data
