Artificial Intelligence Intern
National Science and Engineering Research Council of Canada
Jan 2019 - May 2019 (5 months)
- Implemented an open-source machine learning algorithm into an autonomous vehicle vision lane marking system using data management, Python, and artificial neural networks (DNN) with GPU.
- Invented new LiDAR point cloud filters to reduce the data processing time by over 90%, enabling real-time analysis with LiDAR and SLAM (simulation localization and mapping).
- Participated in researching self-driving vehicles.