0556455 20240103230622.820220411235959.9 85137406479 000817372100001 10.3390/vehicles4020020 18 s. E cav_un_epca*0556454MDPI vehicles42 (2022)326-343MDPI autonomous vehicles autonomous parking system human–vehicle systems cav_un_auth*0286338 Plíhal Jiří UTIA-B Zpracování signálů Department of Signal Processing ZS ZS CZ K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0230217 Nedoma P. CZ cav_un_auth*0395419 Šesták V. CZ cav_un_auth*0277031 Herda Z. CZ cav_un_auth*0428863 Aksjonov A. FI http://library.utia.cas.cz/separaty/2022/ZS/plihal-0556455.pdf https://www.mdpi.com/2624-8921/4/2/20 Parking road vehicles is one of the most tedious and challenging tasks a human driver performs. Despite the low speeds involved, parking manoeuvres are among the main causes of minor and sometimes major traffic accidents, especially in urban areas where limited parking spaces are available. Furthermore, searching for a parking space wastes time and contributes to unnecessary road occupancy and pollution. This paper is dedicated to the development of an autonomous parking system for on-street parking in urban areas. The system is capable of fully automated parking manoeuvres from drop-off to pick-up zones, thus removing human drivers from the vehicle control loop. The system autonomously navigates to the parking space and parks the vehicle without human intervention. The proposed system incorporates a communication protocol that connects automated vehicles, parking infrastructure, and drivers. Several convenient human–machine interface concepts for efficient system communication and state monitoring have been developed. A methodology for validating the system in real time is proposed, which includes functionality requirements and a description of parallel and perpendicular parking manoeuvres. The proposed pipeline is tested on an electric vehicle platform with automated functions, where successful technological functionality is demonstrated. WOS JA 20000 20200 20205 2023 5 RVO:67985556 http://hdl.handle.net/11104/0330842 S 3+4 Article Engineering Mechanical|Transportation Science Technology A TRANSPORTATIONSCIENCE&TECHNOLOGY|ENGINEERING.MECHANICAL 2.2 0.7 1.6 0.00023 0.288 258 2.100 74 0.62 Q2 2022 85137406479 SCOPUS PUBMED 000817372100001 WOS cav_un_epca*0556454 MDPI vehicles 2624-8921 Roč. 4 č. 2 2022 326 343 MDPI