4 papers
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…
Quantum game models for interaction-aware decision-making in automated driving
Karim Essalmi, Fernando Garrido, Fawzi Nashashibi
Decision-making in automated driving must consider interactions with surrounding agents to be effective. However, traditional methods often neglect or oversimplify these interactio…
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…