This month’s featured team member is Tracy (Yijin) Wang, a senior at the University of Washington who is majoring in Mathematics. After graduation, she plans to pursue a master’s degree in Data Science.
She started on this research project in July 2020, mainly supporting the team with curve fitting, lane detection, and cone detection tasks. The research has enhanced her mathematical skills and expanded computer science knowledge. Every member of the team has been nice, helpful, and dedicated. She hopes to contribute to improved energy efficiency, thereby reducing the use of fossil fuels and building a more beautiful and cleaner world.
Key Contributions
• Presented solutions to determining vehicle orientation and lateral position as well as maintaining distance between two edges.
• Investigated coordinate transformations between vehicle, camera, and world systems.
• Researched cubic splines to best fit lane edges.
• Responsible for researching and presenting the Hough Transform in addressing the mathematical approach to create the best fit line.
• Researched possible CNN (Convolutional Neural Networks) solutions to lane detention and vision localization.
• Assisted in creating Python-based solutions to fundamental lane detection algorithms.
• Discovered mathematical formulas for expected/ideal dataset for cone detection, calculated expected datasets, and made Excel spreadsheets.
• Assisted in creating Python code for Cone Detection algorithm and evaluation.