Speed planner implementation for autonomous vehicles in an urban context using mixed reality

Jekl, Bence and Deutsch, Zalán and Kopasz, Mihály and Tóth, Erik and Fehér, Árpád and Doba, Dániel Károly and Németh, Balázs and Aradi, Szilárd and Tettamanti, Tamás and Tan, Vu Van and Gáspár, Péter (2025) Speed planner implementation for autonomous vehicles in an urban context using mixed reality. EUROPEAN TRANSPORT RESEARCH REVIEW, 17 (1). ISSN 1867-0717 10.1186/s12544-025-00754-5

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Abstract

The limitations of field testing capabilities present a significant challenge in evaluating the performance level of autonomous vehicle (AV) functionalities. Mixed reality (MR) with digital twin can facilitate performing tests because of reduction in costs and safety issues. However, one of the recent problems in the application of MR for evaluation purposes is the achievable low immersion level. This paper proposes a solution to the problem, and presents a use case through the implementation of a speed planner. The speed planner is implemented in a real test AV, together with an MR-based environment, and field tests are performed in urban context. This paper presents the effectiveness of the speed planner through simulations and AV tests, specifically in regard to the safe adaptation of the AV motion to the surrounding vehicles. Moreover, the test environment and the implementation process are presented in details, such as the test AV setup, the software structure, and the prediction process for achieving immersive MR visualization.

Item Type: Article
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Systems and Control Lab
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 19 Dec 2025 14:33
Last Modified: 19 Dec 2025 14:33
URI: https://eprints.sztaki.hu/id/eprint/11013

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