JKU-ITS Automobile for Research on Autonomous Vehicles

Novel Certad; Walter Morales Alvarez; Georg Novotny; Cristina Olaverri-Monreal

JKU-ITS Automobile for Research on Autonomous Vehicles

Novel Certad
, Walter Morales Alvarez
, Georg Novotny
, Cristina Olaverri-Monreal

Abteilung für Intelligente Transportsysteme

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag

Abstract

In this paper, we present our brand-new platform for Auto- mated Driving research. The chosen vehicle is a RAV4 hybrid SUV from TOYOTA provided with exteroceptive sensors such as a multilayer LI- DAR, a monocular camera, Radar and GPS; and proprioceptive sensors such as encoders and a 9-DOF IMU. These sensors are integrated in the vehicle via a main computer running ROS1 under Linux 20.04. Addition- ally, we installed an open-source ADAS called Comma Two, that runs Openpilot to control the vehicle. The platform is currently being used to research in the field of autonomous vehicles, human and autonomous vehicles interaction, human factors and energy consumption.

Originalsprache	Englisch
Titel	Computer Aided Systems Theory – EUROCAST 2022
Herausgeber*innen	Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia
Verlag	Springer Cham
Seitenumfang	8
Band	13789
ISBN (Print)	978-3-031-25311-9
Publikationsstatus	Veröffentlicht - März 2023

Publikationsreihe

Name	Lecture Notes in Computer Science (LNCS)
ISSN (Print)	0302-9743

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 4 – Qualitativ hochwertige Bildung

Wissenschaftszweige

303 Gesundheitswissenschaften
303008 Ergonomie
201306 Verkehrstelematik
202031 Netzwerktechnik
202036 Sensorik
202038 Telekommunikation
202040 Übertragungstechnik
203 Maschinenbau
211908 Energieforschung
211911 Nachhaltige Technologien
102 Informatik
102001 Artificial Intelligence
102002 Augmented Reality
102003 Bildverarbeitung
102013 Human-Computer Interaction
102015 Informationssysteme
102019 Machine Learning
102021 Pervasive Computing
102024 Usability Research
102026 Virtual Reality
102029 Praktische Informatik
102034 Cyber-Physical Systems
501026 Wahrnehmungspsychologie
501 Psychologie
501025 Verkehrspsychologie
201305 Verkehrstechnik
202 Elektrotechnik, Elektronik, Informationstechnik
202003 Automatisierungstechnik
202030 Nachrichtentechnik
202034 Regelungstechnik
202035 Robotik
202037 Signalverarbeitung
202041 Technische Informatik
203004 Fahrzeugtechnik
211902 Assistierende Technologien
211909 Energietechnik
211917 Technikfolgenabschätzung
501030 Kognitionswissenschaft

JKU-Schwerpunkte

Digital Transformation
Sustainable Development: Responsible Technologies and Management

Dieses zitieren

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title = "JKU-ITS Automobile for Research on Autonomous Vehicles",

abstract = "In this paper, we present our brand-new platform for Auto- mated Driving research. The chosen vehicle is a RAV4 hybrid SUV from TOYOTA provided with exteroceptive sensors such as a multilayer LI- DAR, a monocular camera, Radar and GPS; and proprioceptive sensors such as encoders and a 9-DOF IMU. These sensors are integrated in the vehicle via a main computer running ROS1 under Linux 20.04. Addition- ally, we installed an open-source ADAS called Comma Two, that runs Openpilot to control the vehicle. The platform is currently being used to research in the field of autonomous vehicles, human and autonomous vehicles interaction, human factors and energy consumption.",

author = "Novel Certad and \{Morales Alvarez\}, Walter and Georg Novotny and Cristina Olaverri-Monreal",

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language = "English",

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JKU-ITS Automobile for Research on Autonomous Vehicles. / Certad, Novel; Morales Alvarez, Walter; Novotny, Georg et al.
Computer Aided Systems Theory – EUROCAST 2022. Hrsg. / Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia. Band 13789 Springer Cham, 2023. (Lecture Notes in Computer Science (LNCS)).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag

TY - GEN

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AB - In this paper, we present our brand-new platform for Auto- mated Driving research. The chosen vehicle is a RAV4 hybrid SUV from TOYOTA provided with exteroceptive sensors such as a multilayer LI- DAR, a monocular camera, Radar and GPS; and proprioceptive sensors such as encoders and a 9-DOF IMU. These sensors are integrated in the vehicle via a main computer running ROS1 under Linux 20.04. Addition- ally, we installed an open-source ADAS called Comma Two, that runs Openpilot to control the vehicle. The platform is currently being used to research in the field of autonomous vehicles, human and autonomous vehicles interaction, human factors and energy consumption.

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