Accelerometer Based Method for Tire Load and Slip Angle Estimation
Kanwar Bharat Singh, Saied Taheri

TL;DR
This paper reviews current smart tire sensor technologies and introduces novel algorithms using accelerometers to accurately estimate tire load and slip angle, supported by experimental validation.
Contribution
It provides a comprehensive survey of signal processing methods and presents new algorithms for tire load and slip angle estimation using accelerometer data.
Findings
Proposed algorithms effectively estimate tire load and slip angle.
Experimental results validate the accuracy of the new methods.
Survey highlights advancements in smart tire sensor technology.
Abstract
Tire mounted sensors are emerging as a promising technology, capable of providing information about important tire states. This paper presents a survey of the state-of-the-art in the field of smart tire technology, with a special focus on the different signal processing techniques proposed by researchers to estimate the tire load and slip angle using tire mounted accelerometers. Next, details about the research activities undertaken as part of this study to develop a smart tire are presented. Finally, novel algorithms for estimating the tire load and slip angle are presented. Experimental results demonstrate the effectiveness of the proposed algorithms.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
