An Artificial Intelligence Approach for the Kinodynamically Feasible Trajectory Planning of a Car-like Vehicle

An Artificial Intelligence Approach for the Kinodynamically Feasible Trajectory Planning of a Car-like Vehicle

This work investigates the possibility to improve the computational efficiency of a set-based method for the trajectory planning of a car-like vehicle through artificial intelligence. Planning is performed on a graph that represents the operating scenario in which the vehicle moves, and the kinodyna...

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Bibliographic Details
Main Authors: Vito Antonio Nardi, Marianna Lanza, Filippo Ruffa, Valerio Scordamaglia
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
trajectory planning
motion planning
car planning
lane change
vehicle motion
hybrid a-star
Online Access:https://www.mdpi.com/2076-3417/15/2/795
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