Emergency Corridor Building on Multi-Lane Motorways with Autonomous Model Cars
Jurij Kuzmic, Günter Rudolph, Fabian Ostermann
2024
Abstract
This paper introduces an algorithm for forming an emergency corridor on motorways with autonomous vehicles. This algorithm can be used in slow-moving traffic and in standing traffic scenarios. In addition, several autonomous model vehicles were assembled for the experiments in this work in order to test this algorithm in real-world use. Furthermore, a model motorway was constructed that resembles a real three-lane motorway. The Filtered Canny Edge Detector algorithm, also previously published by us, is used to recognise the lanes of the motorway from camera images. Also, in this work, this lane detector is further extended and improved for use with model vehicles in the real environment. Our experiments also show successful emergency lane formations for four different events. Finally, possible future work in this area is presented.
DownloadPaper Citation
in Harvard Style
Kuzmic J., Rudolph G. and Ostermann F. (2024). Emergency Corridor Building on Multi-Lane Motorways with Autonomous Model Cars. In Proceedings of the 9th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; ISBN 978-989-758-699-6, SciTePress, pages 321-328. DOI: 10.5220/0012731700003705
in Bibtex Style
@conference{iotbds24,
author={Jurij Kuzmic and Günter Rudolph and Fabian Ostermann},
title={Emergency Corridor Building on Multi-Lane Motorways with Autonomous Model Cars},
booktitle={Proceedings of the 9th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS},
year={2024},
pages={321-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012731700003705},
isbn={978-989-758-699-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS
TI - Emergency Corridor Building on Multi-Lane Motorways with Autonomous Model Cars
SN - 978-989-758-699-6
AU - Kuzmic J.
AU - Rudolph G.
AU - Ostermann F.
PY - 2024
SP - 321
EP - 328
DO - 10.5220/0012731700003705
PB - SciTePress