4 papers · 1 filter
Multi-Player, Multi-Strategy Quantum Game Model for Interaction-Aware Decision-Making in Automated Driving
Karim Essalmi, Fernando Garrido, Fawzi Nashashibi
Although significant progress has been made in decision-making for automated driving, challenges remain for deployment in the real world. One challenge lies in addressing interacti…
An Extended Horizon Tactical Decision-Making for Automated Driving Based on Monte Carlo Tree Search
Karim Essalmi, Fernando Garrido, Fawzi Nashashibi
This paper introduces COR-MCTS (Conservation of Resources - Monte Carlo Tree Search), a novel tactical decision-making approach for automated driving focusing on maneuver planning…
COR-MP: Conservation of Resources Model for Maneuver Planning
Karim Essalmi, Fernando Garrido, Fawzi Nashashibi
Decision-making for automated driving remains a challenging task. For their integration into real platforms, these algorithms must guarantee passenger safety and comfort while ensu…
Improving behavior profile discovery for vehicles
Nelson de Moura, Fawzi Nashashibi, Fernando Garrido
Multiple approaches have already been proposed to mimic real driver behaviors in simulation. This article proposes a new one, based solely on the exploration of undisturbed observa…