The Experts below are selected from a list of 261 Experts worldwide ranked by ideXlab platform
Wang Yan-yang - One of the best experts on this subject based on the ideXlab platform.
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Tire Pressure Monitoring System Based on ABS Signal
Agricultural Equipment & Vehicle Engineering, 2007Co-Authors: Wang Yan-yangAbstract:The paper introduced four indirect tire pressure monitoring system based on wheel speed gained from ABS (anti-blocking system). It uses rim speed comparison, Effective Rolling Radius, torsional stiffness and longitudinal stiffness as parameters and use different methods to monitor tire pressure. Also the developing direction in the future is proposed.
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Tire Pressure Monitoring System Based on Virtual Sensing
Auto Electric Parts, 2007Co-Authors: Wang Yan-yangAbstract:The virtual sensing technology is applied to estimate signals where direct sensors can not be placed.A tire pressure monitoring system based on the theory of virtual sensing is introduced.Signals from ABS,Effective Rolling Radius,torsional stiffness and longitudinal stiffness are all used as parameters to monitor tire pressure.The developing trend is also predicted here.
Sergio Matteo Savaresi - One of the best experts on this subject based on the ideXlab platform.
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CCTA - Motorcycle tire Rolling Radius estimation for TPMS applications via GPS sensing
2017 IEEE Conference on Control Technology and Applications (CCTA), 2017Co-Authors: Stefano Sabatini, Jorge De-j. Lozoya Santos, Giulio Panzani, Simone Formentin, Sergio Matteo SavaresiAbstract:An accurate knowledge of the tire Effective Rolling Radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for Rolling Radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the Rolling Radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.
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Motorcycle tire Rolling Radius estimation for TPMS applications via GPS sensing
2017 IEEE Conference on Control Technology and Applications (CCTA), 2017Co-Authors: Stefano Sabatini, Jorge De-j. Lozoya Santos, Giulio Panzani, Simone Formentin, Sergio Matteo SavaresiAbstract:An accurate knowledge of the tire Effective Rolling Radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for Rolling Radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the Rolling Radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.
Stefano Sabatini - One of the best experts on this subject based on the ideXlab platform.
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CCTA - Motorcycle tire Rolling Radius estimation for TPMS applications via GPS sensing
2017 IEEE Conference on Control Technology and Applications (CCTA), 2017Co-Authors: Stefano Sabatini, Jorge De-j. Lozoya Santos, Giulio Panzani, Simone Formentin, Sergio Matteo SavaresiAbstract:An accurate knowledge of the tire Effective Rolling Radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for Rolling Radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the Rolling Radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.
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Motorcycle tire Rolling Radius estimation for TPMS applications via GPS sensing
2017 IEEE Conference on Control Technology and Applications (CCTA), 2017Co-Authors: Stefano Sabatini, Jorge De-j. Lozoya Santos, Giulio Panzani, Simone Formentin, Sergio Matteo SavaresiAbstract:An accurate knowledge of the tire Effective Rolling Radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for Rolling Radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the Rolling Radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.
Giulio Panzani - One of the best experts on this subject based on the ideXlab platform.
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CCTA - Motorcycle tire Rolling Radius estimation for TPMS applications via GPS sensing
2017 IEEE Conference on Control Technology and Applications (CCTA), 2017Co-Authors: Stefano Sabatini, Jorge De-j. Lozoya Santos, Giulio Panzani, Simone Formentin, Sergio Matteo SavaresiAbstract:An accurate knowledge of the tire Effective Rolling Radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for Rolling Radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the Rolling Radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.
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Motorcycle tire Rolling Radius estimation for TPMS applications via GPS sensing
2017 IEEE Conference on Control Technology and Applications (CCTA), 2017Co-Authors: Stefano Sabatini, Jorge De-j. Lozoya Santos, Giulio Panzani, Simone Formentin, Sergio Matteo SavaresiAbstract:An accurate knowledge of the tire Effective Rolling Radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for Rolling Radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the Rolling Radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.
Jorge De-j. Lozoya Santos - One of the best experts on this subject based on the ideXlab platform.
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CCTA - Motorcycle tire Rolling Radius estimation for TPMS applications via GPS sensing
2017 IEEE Conference on Control Technology and Applications (CCTA), 2017Co-Authors: Stefano Sabatini, Jorge De-j. Lozoya Santos, Giulio Panzani, Simone Formentin, Sergio Matteo SavaresiAbstract:An accurate knowledge of the tire Effective Rolling Radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for Rolling Radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the Rolling Radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.
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Motorcycle tire Rolling Radius estimation for TPMS applications via GPS sensing
2017 IEEE Conference on Control Technology and Applications (CCTA), 2017Co-Authors: Stefano Sabatini, Jorge De-j. Lozoya Santos, Giulio Panzani, Simone Formentin, Sergio Matteo SavaresiAbstract:An accurate knowledge of the tire Effective Rolling Radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for Rolling Radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the Rolling Radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.
