This paper presents a novel approach to online velocity trajectory planning for manual
energy efficient driving which involves Model Predictive Control (MPC) for map-based …

This paper presents a trajectory planning framework to deal with the highly dynamic
environments for on-road driving. The trajectory optimization problem with parameterized …

The aim of this article is to analyze the effect of kinematic parameters on a novel proposed
on-line motion planning algorithm for an articulated vehicle based on Model Predictive …

Road shoulders and slopes often appear in unstructured environments. They make 2.5 D
vehicle trajectory planning commonly seen in our daily life, which lies on a 2D manifold …

With the evolution of self-driving cars, autonomous racing series like Roborace and the Indy
Autonomous Challenge are rapidly attracting growing attention. Researchers participating in …

In the development of autonomous vehicles, the design of real-time motion-planning is a
crucial problem. The computation of the vehicle trajectory requires the consideration of …

Vehicles are highly coupled and multi-degree nonlinear systems. The establishment of an
appropriate vehicle dynamical model is the basis of motion planning for autonomous …

The paper presents a motion planning solution which combines classic control techniques
with machine learning. For this task, a reinforcement learning environment has been …

Increasing the level of autonomy facilitates a vehicle in performing long-range operations
with minimum supervision. This paper shows that the ability of Autonomous Underwater …

This paper presents models of path and control planning for the parking, docking, and
movement of autonomous vehicles at low speeds, considering space constraints. Given the …