@inproceedings{c64e91059b014942ab20932c30b6cb39,
title = "Corner Test Cases for ADAS and HAVs: A Computational Study on the Influence of Road Irregularities on Vehicle Vision Systems",
abstract = "Automated Vehicles and next generation ADAS hold the promise of disrupting mobility. However, public field trials have recently highlighted road anomalies, such as potholes and bumps, as a source of autopilot disengagements. In this paper, we research the influence of road anomalies on the performance of Artificial Intelligence-based vision systems. To this end, we conducted controlled real-world experiments and developed a validated vehicle system computational model using IPG Carmaker. The vehicle detection, tracking and distance estimation performance have been investigated by undertaking a thorough sensitivity analysis. The results indicate the system limitations in performing adequately for a range of bump sizes and vehicle speeds. With our findings we put emphasis on the importance of vehicle dynamics in the development of automated driving systems.",
keywords = "Autopilot disengagements, Highly Automated Vehicles, Road bumps",
author = "Yannik Weber and Stratis Kanarachos",
year = "2020",
month = "2",
day = "13",
doi = "10.1007/978-3-030-38077-9_117",
language = "English",
isbn = "978-3-030-38076-2",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer",
pages = "1008--1016",
editor = "Matthijs Klomp and Fredrik Bruzelius and Jens Nielsen and Angela Hillemyr",
booktitle = "Advances in Dynamics of Vehicles on Roads and Tracks - Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019",
address = "United Kingdom",
edition = "1",
}