Name: Featured Student Research Lightning Talks: Using TensorFlow Machine Learning to Develop and Train a Small-Scale Autonomous Vehicle
Start: 2019-04-11T10:30:00-0400
End: 2019-04-11T11:05:00-0400

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Featured Student Research Lightning Talks: Using TensorFlow Machine Learning to Develop and Train a Small-Scale Autonomous Vehicle

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Autonomous features are slowly being introduced into recent car models. Our team is aiming to create our own autonomous robotic car using a Raspberry Pi, Python, the Google Vision API, and TensorFlow. The first stage of the project focused on allowing the car to recognize logos, and having it “speak” what it saw through a speaker. The second stage of the project focuses on creating our own algorithm in TensorFlow and embedding the algorithm onto the Raspberry Pi, allowing it to recognize traffic signs and navigate accordingly. The car will also be able to upload its algorithms to a cloud environment, where other cars with lower-scoring accuracy models will be able to download the more accurate model. This models how cars could be maintained in the future by downloading updates from the manufacturer.

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Speakers

Ben Bland

Student, James Madison University

Ben Bland is a senior ISAT student from James Madison University, with a dual concentration in Information Knowledge Management and Energy. He is currently working on a capstone project using TensorFlow to train a small autonomous vehicle.

Kashaun Finch

Student, James Madison University

I’m Kashuan Finch, a senior ISAT Major, with a concentration in Telecommunications, Networking and Security, and Robotics Minor at James Madison Univerisity. My interests in work and research are in applied machine learning, IT technology, software-defined devices, sustainable energy... Read More →

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