This paper investigates the stochastic path planning of a vehicle in the presence of some
moving obstacles and uncertainty sources. Upon a successive linearization, a Linear-Time …

This work presents a waypoint trajectory planning technique for an autonomous vehicle in
the presence of obstacles using a tunnel-MILP formulation for the avoidance constraints …

This article presents an innovative control approach for autonomous racing vehicles. Linear
Parameter Varying (LPV) theory is used to model the dynamics of the vehicle and implement …

This paper presents a kinematic model based path planning algorithm for autonomous
vehicle. Polynomial parameterization is used to generate the trajectory. All constraints …

In this paper, an approach for real time obstacle avoidance of autonomous vehicles is
presented. A model predictive control (MPC) scheme based on convex quadratic …

In this paper, we present an effective online planning solution for autonomous vehicles that
aims at improving the computational load while preserving high levels of performance in …

In this study, we are concerned with autonomous driving missions when a static obstacle
blocks a given reference trajectory. To provide a realistic control design, we employ a model …

In this article we present a real-time path-planning algorithm that can be used to generate
optimal and feasible paths for any kind of unmanned vehicle (UV). The proposed algorithm …

Focusing on autonomous driving algorithm development, this paper proposes a novel real-
time trajectory planner formulated as a Nonlinear Model Predictive Control (NMPC) …

In this article, a novel on-line path planning algorithm for an articulated vehicle, moving in a
partially known and sensory based reconstructed environment, and relying on Model …