Brendon Matusch
Brendon Matusch is a Canadian young scientist who won First Prize at the 30th EUCYS in 2018.
Biography
Brendon was born in Sudbury, Ontario. He attends Lo-Ellen Park Secondary School where he developed a self driving go-cart using neural networks.
With this project, called "Development of a Level 2 Autonomous Vehicle Using Convolutional Neural Networks and Reinforcement Learning", he entered into the Canada-Wide Science Fair Ottawa 2018. At CWSF, he won Best Project
Brendon used his knowledge of neural networks to contribute to the PICO experiment at SNOLAB, where he developed a system to predict the type of particle that initiated an event in a bubble chamber.
The innovation
Matusch developed a system for locating road lines using convolutional neural networks. Additionally, he applied reinforcement learning to the task of steering, which allowed his vehicle to learn as it drives.
Biography
Brendon was born in Sudbury, Ontario. He attends Lo-Ellen Park Secondary School where he developed a self driving go-cart using neural networks.
With this project, called "Development of a Level 2 Autonomous Vehicle Using Convolutional Neural Networks and Reinforcement Learning", he entered into the Canada-Wide Science Fair Ottawa 2018. At CWSF, he won Best Project
Brendon used his knowledge of neural networks to contribute to the PICO experiment at SNOLAB, where he developed a system to predict the type of particle that initiated an event in a bubble chamber.
The innovation
Matusch developed a system for locating road lines using convolutional neural networks. Additionally, he applied reinforcement learning to the task of steering, which allowed his vehicle to learn as it drives.
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