logo
ResearchBunny Logo
Abstract
This paper presents a novel tire-integrated system combining 3D printed graphene-based strain gauges, a flexible piezoelectric energy harvester, secure wireless data transfer electronics, and machine learning for predictive data analysis. The system enables continuous monitoring of tire-road interactions, addressing the need for advanced control systems in autonomous vehicles. Cost-effective 3D printing and self-powered sensing capabilities are key advantages.
Publisher
NATURE COMMUNICATIONS
Published On
Jun 08, 2020
Authors
Deepam Maurya, Seyedmeysam Khaleghian, Rammohan Sriramdas, Prashant Kumar, Ravi Anant Kishore, Min Gyu Kang, Vireshwar Kumar, Hyun-Cheol Song, Seul-Yi Lee, Yongke Yan, Jung-Min Park, Saeid Taheri, Shashank Priya
Tags
tire-road interactions
3D printing
graphene
energy harvesting
machine learning
autonomous vehicles
data transfer
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs—just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny