Abstract
Vehicle lateral velocity (vy) and longitudinal velocity (vx) play an important role in modern vehicle active safety control systems. However using sensors to measure vy and vx are very expensive, it is necessary to estimate vy and vx from other variables measured easily. In this paper, a novel estimation method for vy and vx is proposed. This method is based on Unscented Kalman Filter (UKF) from steering angle, yaw rate and acceleration, which can be measured easily and cheaply by sensors. This method was evaluated under a variety of maneuvers and road conditions. The simulation results demonstrated that the proposed method was robust and even if condition changed, this method could still estimate vy and vx accurately.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
