@inproceedings{59608b190e264ec3b965300e028a0b22,
title = "Vehicle parameter and road grade estimation based on Kalman Filter: Theory and experiments",
abstract = "Road slope and vehicle parameter is of great importance in vehicle control. In order to estimate the on-line road grade, an accelerometer is mounted on a vehicle. A state-space model for the Kalman Filter is established. And R and Q matrix of the filter is tuned offline to optimize the filter. By experiments, the feasibility of the model as well as the algorithm is verified to be able to estimate the road grade online with precision and little delay. Other vehicle parameters can therefore be estimated with the road grade.",
keywords = "Automotive kinematics, Grade estimation, Kalman Filter, Sensor fusion",
author = "Ming Cheng and Zhe Wang and Gang Tao",
year = "2012",
doi = "10.4028/www.scientific.net/AMM.157-158.1376",
language = "English",
isbn = "9783037853801",
series = "Applied Mechanics and Materials",
pages = "1376--1379",
booktitle = "Mechatronics and Applied Mechanics",
note = "Mechatronics and Applied Mechanics ; Conference date: 27-12-2011 Through 28-12-2011",
}