Game-Theoretic Motion Planning with Perception Uncertainty and Right-of-Way Constraints

Game-Theoretic Motion Planning with Perception Uncertainty and Right-of-Way Constraints

This paper addresses two challenges in AV motion planning: adherence to right-of-way and handling uncertainties, using two game-theoretic frameworks, namely Stackelberg and Nash Bayesian (Bayesian). By modeling the interactions between road users as a hierarchical relationship, the proposed approach...

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Bibliographic Details
Main Authors: Pouya Panahandeh, Ahmad Reza Alghooneh, Mohammad Pirani, Baris Fidan, Amir Khajepour
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
motion planning
autonomous vehicle
uncertainty
sensor fusion
game theory
Online Access:https://www.mdpi.com/1424-8220/24/24/8177
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