The premise of vehicle intelligent decision making is to obtain vehicle motion state
parameters accurately and in real-time. Several state parameters cannot be measured …

With regard to the rear-drive in-wheel motor vehicle, this paper studies the joint estimation
method for the vehicle state and road adhesion coefficient. A nonlinear seven degrees of …

In this study, a vehicle state joint estimation method based on lateral stiffness was applied to
estimate the running states of electric vehicles driven by rear-drive, in-wheel motors …

准确的自车和前车状态估计是智能汽车有效决策和控制的前提, 而以往的研究通常不考虑噪声
统计特性不确定的问题, 导致某些情况下车辆状态估计的误差很大. 为此, 提出一种鲁棒自适应 …

To accurately obtain the state parameter information of a vehicle, a square root generalized
high-order cubature Kalman filter (CKF) estimation algorithm based on the atomic search …

Accurate estimation of the states of vehicle and front vehicle is the premise of the effective
decision-making and control of the intelligent vehicle. However, previous studies usually do …

Aiming at the lateral instability of distributed drive electric vehicles (DDEV) under extreme
conditions, a nonlinear adaptive lateral stability control strategy is designed based on …

The control of vehicle stability is significantly influenced by the pivotal role of the sideslip
angle, and it is a major parameter in intelligent vehicle systems. The immediate and precise …

To improve the estimation accuracy of the state parameters of distributed electric vehicles, a
double inverse covariance intersection generalized fifth-order cubature Kalman filter (DICI …

Critical state information of the vehicle is a prerequisite for effective implementation of active
safety systems. Combining on-board sensor information and advanced filters to estimate …