@inproceedings{0e8ce537c2ec4eb1a23b52d547482842,
title = "Research on slope estimation with the application of Kalman filtering",
abstract = "This paper developed a method of slope estimation based on the installation of an accelerometer on the vehicle. To solve the problem of noise as well as measurement error of the sample of vehicle velocity derived from axle rotation rate, Kalman Filtering is applied to obtain the relatively accurate value of slope angle and real velocity of the vehicle. With the simulation to verify the method, results come out that the slope from the Kalman Filtering is generally following the changes of the real slope alternation although with some fluctuation that won't affect its application to control strategy of the vehicle chassis.",
keywords = "Automotive Accelerometer, Kalman Filtering, Slope Estimation",
author = "Ming Cheng and Zhe Wang and Gang Tao",
year = "2012",
doi = "10.1007/978-3-642-26001-8_50",
language = "English",
isbn = "9783642260001",
series = "Lecture Notes in Electrical Engineering",
pages = "385--390",
booktitle = "Advances in Information Technology and Industry Applications",
note = "2nd International Conference of Electrical and Electronics Engineering, ICEEE 2011 ; Conference date: 01-12-2011 Through 02-12-2011",
}