High-Density Automated Valet Parking with Relocation-Free Sequential Operations
Abstract
In this paper, we present DROP, high-Density Relocation-free sequential OPerations in automated valet parking. DROP addresses the challenges in high-density parking & vehicle retrieval without relocations. Each challenge is handled by jointly providing area-efficient layouts and relocation-free parking & exit sequences, considering accessibility with relocation-free sequential operations. To generate such sequences, relocation-free constraints are formulated as explicit logical conditions expressed in boolean variables. Recursive search strategies are employed to derive the logical conditions and enumerate relocation-free sequences under sequential constraints. We demonstrate the effectiveness of our framework through extensive simulations, showing its potential to significantly improve area utilization with relocation-free constraints. We also examine its viability on an application problem with prescribed operational order. The results from all experiments are available at: https://drop-park.github.io.
Cite
@article{arxiv.2603.23803,
title = {High-Density Automated Valet Parking with Relocation-Free Sequential Operations},
author = {Bon Choe and Minhee Kang and Heejin Ahn},
journal= {arXiv preprint arXiv:2603.23803},
year = {2026}
}
Comments
7 pages, 6 figure. The results from all experiments are available at: https://drop-park.github.io