@inproceedings{907998c9e1704874a3c437593bdd2c9e,
title = "Towards conformant models of automated electric vehicles",
abstract = "Automated driving is one of the major tendencies in last decades, and it is presented as a reliable option to improve comfort during driving, including disable and elder in society and increasing persons safety in roads. This last topic produces the question how is it possible to verify planning and control algorithms for a reliable commercial use of this technology. The question can be answered from two perspective: experimental or formal methods, where the formal one is selected as the most robust between both. Hence, the current work presents a case study verification in automated driving for lane change and double lane change maneuvers, using as basis a trace conformance method presented in [1]. The verification method is performed in Dynacar as a precise multibody simulator tuned for a commercial Renault Twizy vehicle.",
keywords = "Trajectory, Wheels, Mathematical model, Bicycles, Acceleration, Computer architecture, Tires, Trajectory, Wheels, Mathematical model, Bicycles, Acceleration, Computer architecture, Tires, Automated vehicles, conformance testing, tracking controllers, verification",
author = "Lattarulo, \{Ray A.\} and Daniel Heb and Matute, \{Jose A.\} and Joshue Perez and Daniel Hes",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2018 ; Conference date: 12-09-2018 Through 14-09-2018",
year = "2018",
month = oct,
day = "31",
doi = "10.1109/ICVES.2018.8519484",
language = "English",
isbn = "978-1-5386-3544-5",
series = "2018 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2018",
publisher = "IEEE",
pages = "1--6",
booktitle = "unknown",
}