Trajectory Planning for Automated Vehicles using Quantum Computing

Juha Lilja · 2023

This paper presents a method for automated vehicle trajectory planning using quantum computing. The use of quantum computing for the trajectory planning problem was studied because the current classical methods for solving the problem are computationally expensive. Simulation tests with the presented method were performed in more complex test cases than what has previously been tested with this method. Simulation tests show, that the method scales also for more complex problems. The method presented here can theoretically outperform classical methods in complexity in certain conditions, although it is not guaranteed in every condition.

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