In highly interactive driving scenarios, the actions of one agent greatly influences those of its
neighbors. Planning safe motions for autonomous vehicles in such interactive environments …

In the 3-D path planning, the undulation of terrain have a significant impact on the roll angle
of autonomous vehicle (AV). However, the existing 3-D path planning methods rarely …

This paper proposes a comprehensive framework to enable autonomous vehicles (AVs) with
the highest priority (eg, ambulances) to perform lane change maneuvers timely and …

To enhance path tracking precision in intelligent vehicles, this study proposes a lateral–
longitudinal control strategy optimized with a Backpropagation (BP) neural network. The …

Model predictive control (MPC) may provide local motion planning for mobile robotic
platforms. The challenging aspect is the analytic representation of collision cost for the case …

This article studies the almost-sure and the mean-square consensus control problems of
second-order stochastic discrete-time multi-agent systems with multiplicative noises. First, a …

This paper focuses on the real-time obstacle avoidance and safe navigation of autonomous
ground vehicles (AGVs). It introduces the Selective MPC-PF-PSO algorithm, which includes …

Autonomous driving is a cutting-edge field of automotive intelligence development that can
effectively improve driving safety and alleviate traffic congestion. Path-following control is a …

Proper coordination systems for autonomous vehicles (AVs) in complex road structures such
as road intersections are of great importance. However, considering the fact that not only …

Considering the problem of robust optimal finite-time attitude tracking for spacecraft, a
unique characteristic of two advanced control methods, nonlinear fractional order sliding …