Kalman and particle filtering methods for full vehicle and tyre identification

The Particle Filter and Extended Kalman Filter methods for the structural system identification considering various uncertainties

Structural system identification using recursive methods has been a research direction of increasing interest in recent decades. The two prominent methods, including the Extended Kalman Filter (EKF) and the Particle Filter (PF), also known as the Sequential Monte Carlo (SMC), are advantageous in this field. In this study, the system identification of a shake table test of a 4-story steel struct...

Vehicle Tyre and Handling Model Identification using an Extended Kalman Filter

GPS/INS Integration for Vehicle Navigation based on INS Error Analysis in Kalman Filtering

The Global Positioning System (GPS) and an Inertial Navigation System (INS) are two basic navigation systems. Due to their complementary characters in many aspects, a GPS/INS integrated navigation system has been a hot research topic in the recent decade. The Micro Electrical Mechanical Sensors (MEMS) successfully solved the problems of price, size and weight with the traditional INS. Therefore...

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Vehicle Tracking Using Feature Matching and Kalman Filtering

Aiming at contributing to the development of a robust computer vision traffic surveillance system, in this work a method for vehicle identification and tracking that applies the Scale Invariant Feature Transform (SIFT) and a Kalman filter is proposed. The SIFT algorithm extracts keypoints of the moving object on a sequence of images and the Kalman Filter provides a priori estimates of vehicle p...