Traffic Light Recognition using Deep Learning

Traffic Light Recognition using Deep Learning

Vamshi Gudavarthi

Vamshi Gudavarthi

Lakeside, California

Recognizing Traffic lights in the driving direction using Deep Learning. The dataset contains images taken by the drivers using Nexar app.

Artificial Intelligence

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Description

This project is pursued as a final project for the course Neural Networks and Pattern Recognition taken at University of California, San Diego. We tried to solve the problem posed in Nexar challenge shown in the following link, (https://challenge.getnexar.com/challenge-1). Although the challenge is over by then we are able to solve to the extent we were almost there matching the 2nd rank shown in their leaderboard. Also we localized the region of traffic lights using UCSD Traffic lights dataset where data for bounding boxes is also available. Apart from this I had many other machine learning and deep learning projects to my credit. Also I am currently enrolled for graduate study at UCSD specializing in Intelligent Systems, Robotics & Control. Following is one of the reference we used for our project (Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks by Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun)

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Tushaar Gangarapu

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