Vehicle localization is essential for intelligent and autonomous vehicles. To improve the
accuracy of vehicle stand-alone localization in highly dynamic driving conditions during …

In this paper, an enabling multi-sensor fusion-based longitudinal vehicle speed estimator is
proposed for four-wheel-independently-actuated electric vehicles using a Global Positioning …

Accurate vehicle state information is crucial for safe driving and dynamic control of vehicles.
Vehicle state estimation under unknown noise conditions is an important research topic. A …

In this paper, the problem of integrated longitudinal and lateral vehicle stability control is
addressed using a modular optimal control structure. The optimization process of the high …

In this paper, an integrated estimation and control system is developed for the stability and
traction control of electric vehicles. A model predictive control technique is used to track the …

This paper presents a new method to address issues associated with vehicle system state
estimation using an unscented Kalman filter (UKF) with considering full-car system and …

This paper presents a tire slip angle estimator based on an Interacting Multiple Model (IMM)
algorithm for vehicle stability control. The proposed algorithm is capable of estimating the …

In vehicle dynamics control, engineering a suitable regulator is a long and costly process.
The starting point is usually the design of a nominal controller based on a simple control …

In this paper, a model predictive vehicle stability controller is designed based on a combined-
slip LuGre tyre model. Variations in the lateral tyre forces due to changes in tyre slip ratios …

A corner-based velocity estimation approach is proposed which is used for vehicle's traction
and stability control systems. This approach incorporates internal tire states within the …