Driving style recognition with privacy protection

• Main Author: Seet, Jonathan Wei Han
• Other Authors: Tay, Wee Peng
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/150350
• Institution: Nanyang Technological University

The objective of the FYP is to use a myriad of RNN, Long Short-Term Memory networks (LSTMs) to detect between different driving styles and simultaneously include a method to protect the confidentiality of the data captured. Using data collected and filtered through a Kalman Filter, to estimate the p...