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Development and Validation of an Open Architecture for Autonomous Vehicle Control

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Teams dedicated to research in the field of au- tonomous vehicles can be found in many universities and research centers, but they often face the challenge of finding a suitable platform for their work. The primary reason for this challenge is the inaccessibility and high cost of commercial autonomous vehicles, leading researchers to rely on simulators. This paper introduces a new software architecture designed to automate vehicles, providing all the necessary capabilities of an autonomous vehicle in a more cost-effective and efficient manner. The architecture is designed to be modular, universal, and with a public interface, making it easy to modify, adapt to any type of vehicle, and accessible to any researcher. The new software architecture has been implemented in two platforms: a vehicle integrated with OpenPilot via ROS2 without any external hardware, and a last-mile robot. A validation test was conducted with volunteers to assess the reaction of passengers while the car was driving autonomously. The results of this implementation demonstrate the potential of this new software architecture to provide a comprehensive and accessible platform for the advancement of autonomous vehicle research. Index Terms—ROS2, openpilot, ROSbridge, Autonomous ve- hicle, Low Level Control
OriginalspracheEnglisch
TitelIEEE Intelligent Vehicles Symposium 2023
VerlagIEEE Intelligent Vehicles Symposium 2023
Seitenumfang6
ISBN (elektronisch)9798350346916
DOIs
PublikationsstatusVeröffentlicht - Jän. 2023

Publikationsreihe

NameIEEE Intelligent Vehicles Symposium, Proceedings
Band2023-June

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

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