Machine Learning Assisted Mobility Scooter
Machine Learning Assisted Mobility Scooter
Advisor: Prof. Chang Yeong Hwa (張永華)
Mar. 2021 - Oct. 2023
@ Chang Gung University
Developed an assistive system with camera detection and 20 sensors to improve scooter safety.
Integrated CNN algorithms to prevent accidents, achieving an 80% success rate in closed testing.
Design electric circuits and PCB diagrams for each detection module.
International conference experience, published on APSIPA (the link is HERE)
Machine Learning Assisted Mobility Scooter
System architecture
Closed-field testing of the machine learning assisted mobility scooter
International conference (APSIPA) experience