This paper proposes a novel robust adaptive filter that combines smooth variable structure
filter and extended Kalman filter for the spacecraft attitude estimation with model uncertainty …

Lane-change trajectory planning of autonomous light trucks is closely related to safety,
driving stability and transportation efficiency, especially in complex road and traffic …

With the increasing use of autonomous unmanned aerial vehicles (UAVs), it is critical to
ensure that they are continuously tracked and controlled, especially when UAVs op-erate …

Bayesian filters exemplified by the celebrated Kalman Filter (KF), and its non-linear variants
rely on a fairly accurate state-space model of the system under study. To address the issue …

Reliable motion prediction of surrounding vehicles is the key to safe and efficient driving of
autonomous vehicles, especially at urban intersections with complex traffic environments …

We present a methodology of cooperative driving in vehicular traffic, in which for short-time
traffic prediction rather than one of the statistical approaches of artificial intelligence (AI), we …

In underwater environments, the accurate estimation of state features for passive object is a
critical aspect of various applications, including underwater robotics, surveillance, and …

The vicious competition of interacting multiple-model (IMM) algorithm is an inherent problem
and would produce irreversible effects on IMM estimation results, especially combining with …

In order to improve the accuracy of vehicle trajectories and ensure driving safety, and
considering the differences in driver behavior and the impact of these differences on vehicle …

To improve the lengthy computation time of conventional variable structure interacting
multiple model (VSIMM) algorithm and increase the precision of target prediction and …