COR-MP: Conservation of Resources Model for Maneuver Planning
Essalmi, Karim, Garrido, Fernando, Nashashibi, Fawzi
–arXiv.org Artificial Intelligence
Decision-making for automated driving remains a challenging task. For their integration into real platforms, these algorithms must guarantee passenger safety and comfort while ensuring interpretability and an appropriate computational time. To model and solve this decision-making problem, we have developed a novel approach called COR-MP (Conservation of Resources model for Maneuver Planning). This model is based on the Conservation of Resources theory, a psychological concept applied to human behavior. COR-MP is based on various driving parameters, such as comfort, safety, or energy, and provides in real-time a profit value that enables us to quantify the impact of a decision on the decision-maker. Our method has been tested and validated through closed-loop simulations using RTMaps middleware, and preliminary results have been obtained by testing COR-MP on a real vehicle.
arXiv.org Artificial Intelligence
Oct-25-2024
- Country:
- Asia > Middle East
- Republic of Türkiye > Karaman Province > Karaman (0.04)
- Europe > France
- Île-de-France > Paris > Paris (0.04)
- North America > United States (1.00)
- Asia > Middle East
- Genre:
- Research Report (0.84)
- Industry:
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning (1.00)
- Representation & Reasoning (1.00)
- Robots > Autonomous Vehicles (1.00)
- Game Theory (1.00)
- Artificial Intelligence
- Information Technology