Measuring road profile is mainly used for a road maintenance purpose. Another interesting application of the knowledge on road profile is vehicle localization if the knowledge is available in real-time. A cost effective and implementable approach of measuring or estimating a road profile in a passenger vehicle is estimating the profile using inertial sensors that is readily installed for active safety features. The suggested method is a Kalman filter based disturbance observer without assuming a constant disturbance. By estimating the disturbance of k-1 time step at the k time step, the constant disturbance assumption is not necessary. The required observer structure and dynamics are presented as well as simulation and experimental results.
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ASME 2017 Dynamic Systems and Control Conference
October 11–13, 2017
Tysons, Virginia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5828-8
PROCEEDINGS PAPER
Road Profile Estimation for Vehicle Localization
Juhui Gim,
Juhui Gim
Pusan National University, Busan, Korea
Search for other works by this author on:
Changsun Ahn
Changsun Ahn
Pusan National University, Busan, Korea
Search for other works by this author on:
Juhui Gim
Pusan National University, Busan, Korea
Changsun Ahn
Pusan National University, Busan, Korea
Paper No:
DSCC2017-5176, V002T17A005; 7 pages
Published Online:
November 14, 2017
Citation
Gim, J, & Ahn, C. "Road Profile Estimation for Vehicle Localization." Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications. Tysons, Virginia, USA. October 11–13, 2017. V002T17A005. ASME. https://doi.org/10.1115/DSCC2017-5176
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