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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Srinivasan S. updated status

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Srinivasan Saripalli

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Nilesh created project Demand prediction on graphs

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Demand prediction on graphs

Using localized spectral filtering and deep learning to predict demand between two nodes as in a graph based on current research which showed promising results for classification problems on a network basis. The next step is to build a node level classifier & that's what we have in mind.

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Sanju M. updated status

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Sanju Mathew

Solar Tracking system - Detects Locationa and predicts Solar energy output, feature to find the optimum placement for your solar installation by orienting your phone and finding the direction that gives you maximum power output, add sensors to the system and connect via Intel NUC.

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Kaptain T. added a comment on project Space Mines

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Space Mines

Designed as a 1980s vector arcade game this game allows you to destroy mines that are being dropped by enemy ships. Use your head as a controller and your mouth as the fire button.

Developed in Intel XDK using HTML5 & Javascript. All graphics are drawn and frames animated using the Canvas Element, no middleware solution

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Bob Duffy

Folsom, CA, USA