Abstract Model-based predictive control (MPC) describes a set of advanced control
methods, which make use of a process model to predict the future behavior of the controlled …

In complex and dynamic urban traffic scenarios, the accurate prediction of trajectories of
surrounding traffic participants (vehicles, pedestrians, etc) with interactive behaviours plays …

When it comes to the accuracy of autonomous motion, it is necessary to consider object
detection and recognition, especially for the robot application of the complex environment …

This paper presents an elliptical target encircling control policy of quadrotors subject to
uncertainties and aperiodic signals updating based on pure bearing measurements. At the …

Recently, inferring lane change intention has received considerable attention. Due to the
high nonlinearity and complexity of traffic contexts, traditional methods cannot satisfy the …

This paper presents a probabilistic trajectory prediction of cut-in vehicles exploiting the
information of interacting vehicles. First, a probability distribution of behavioral parameters …

The real-time availability of key water quality parameters is of great importance for an
advanced and optimized process control in wastewater treatment plants (WWTPs). However …

To improve the ride comfort and safety of a traditional adaptive cruise control (ACC) system
when the preceding vehicle changes lanes, it proposes a target vehicle selection algorithm …

The Internet of Things plays an indispensable role in the development of connected
vehicles, which will pave the way for road safety applications. In recent years, the concept of …

Predicting the trajectories of road agents is fundamental for self-driving cars. Trajectory
prediction contains many sources of uncertainty in data and modeling. A thorough …