SAE International Journal of Connected and Automated Vehicles

ISSN: 2574-0741, e-ISSN: 2574-075X
Frequency: Quarterly; March, June, September, December

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Editors-in-Chief:
Prof. Dr. Daniel Watzenig, Graz University of Technology and Virtual Vehicle Research Center, Austria
Terry Fruehling, LionThorn, LLC, USA

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Indexed in
CNKI
Engineering Village (Ei Compendex)
IET Inspec
Japan Science and Technology (JST) Agency
Scopus

Aims and Scope
The SAE International Journal of Connected and Automated Vehicles furthers the state of the art of engineering research by promoting high-quality theoretical and applied investigations in the arena of connected and autonomous vehicles (CAVs) in on-road, off-road, and aerial operational environments. The enormous growth in numbers, diversity, and complexity of CAVs has been driven by: (i) enhancements of fundamental scientific understanding; (ii) technological convergence of computing, communication, and miniaturization; and (iii) increased scale and complexity of tangible embodiments and engineering implementations at the component-, subsystem-, and system-levels.

The journal seeks to further these goals by publishing peer-reviewed scientific articles that showcase strong theoretical and empirical contributions and findings to the body of engineering knowledge surrounding various facets of the lifecycle treatment (design, modeling, controlling, testing, demonstration, and experimentation) of connected and automated vehicles with an emphasis on the system perspective.

Topics of interest include, but are not limited to, the following within the overall CAV system context:

Technologies

• Active perception architectures and implementations (radar, vision, lidar) for CAVs
• Sensors, sensor fusion (infrastructure and vehicle-based) for CAVs
• Vehicle design, analysis, and control enhancements for CAVs
• Electrification/vehicle electronics architectures and implementations for CAVs
• Infrastructure: Communication architectures and implementations (V2x) for CAVs
• Real-time computational paradigms and architectures (AI, model-based) for CAVs
• Novel actuation paradigms (structural control, reconfigurable systems) for CAVs
• Functional safety
• Verification, validation, and test

Cyber-enabled System Capabilities

• Big data analysis, cloud computing architectures
• Vehicle navigation and situational awareness
• Fault detection and diagnosis, fault tolerant control
• Cybersecurity and cyber-enhanced security
• Active- and semi-active connected and automated vehicle control (adaptive, fuzzy, cooperative, neuro, emergent paradigms)
• Hybrid simulation- and empirical-testing paradigms (model-in-the-loop, hardware-in-the-loop)

Human-in-the-loop Element

• Active vehicle safety architectures (occupant, pedestrian)
• Human machine Interaction design (driver- and controller-interfaces)
• Varying grades of driver-assistance systems
• Psycho-social facets of shared control (trust, variability)

Subsystem and System Engineering Frameworks

• Automated Guided Vehicles (AGVs)
• Multi-vehicle cooperation, connected vehicles, platooning
• Platooning and fleet management
• Reproducible testing and validation architectures and paradigms
• Noise, network failure, faults, reliability analysis
• Application use cases (warehousing, x-docking, mining, agriculture, military)

This journal is a member of COPE (Committee on Publication Ethics). The journal’s publication processes and ethics policies follow COPE guidelines.

Editorial Board

Editors-in-Chief

Prof. Dr. Daniel Watzenig, Graz University of Technology and Virtual Vehicle Research Center, Austria

Daniel Watzenig was born in Austria. He holds a doctorate in electrical engineering and was awarded the venia docendi (adjunct professorship) for electrical measurement science and signal processing from Graz University of Technology, Austria. He is CTO and Head of the Electronics Systems and Software Department at Virtual Vehicle Research Graz. In addition, he was appointed as a Full Professor of Multi-Sensor Perception of Autonomous Systems at the Institute of Computer Graphics and Vision, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology, Austria.

His research interests focus on sense and control of autonomous vehicles, sensor fusion, reinforcement learning and decision making under uncertainty. He is the author or co-author of over 200 peer-reviewed papers, book chapters, patents, and articles. He is the Editor-in-Chief of the SAE Int. Journal on Connected and Automated Vehicles (SAE JCAV). Since 2019 he is an invited guest lecturer at Stanford University, USA, teaching multi-sensor perception for autonomous systems (Principles of Robot Autonomy). He is the founder of the Autonomous Racing Graz Team. Since 2024 he is Vice Chair and Member of the Executive Committee of the IEEE Austria Section. He is an IEEE Distinguished Lecturer in the field of autonomous vehicles, Board Member of the INSIDE Industry Association (European Initiative on Intelligent Digital Systems) and Member of the Academic Advisory Council of PAVE (global Partners for Automated Vehicle Education). He has been a consultant and appointed expert for military robotics for the Armaments and Defense Technology Agency of the Austrian Armed Forces since 2019.

Terry Fruehling, Private Practitioner; LionThorn, LLC, USA

Terry Fruehling, Editor-in-Chief of the SAE International Journal of Connected and Automated Vehicles, has had a 45-year engineering career that includes technical leadership positions for mission critical systems in Medical, Automotive, and Communications companies. In addition to his contributions to the journal, Terry is an active member of several SAE standard generation groups.

In the automotive industry alone, he has contributed to crucial systems like ABS electronic controllers, Lock-step microcontroller systems, pressure transducers, and speed/position sensors for GM, Ford, Chrysler, and Harley Davidson Vehicles. In the medical industry, he helped develop heart-lung machines, kidney dialysis pumps, Cardioplegia machines and air bubble detectors. In the banking industry, he launched secured rack modems.

He holds 10 functional safety patents which are relevant to: the diagnostic monitoring and safety mechanism capabilities of embedded microcontrollers, such as the lock-step CPU with functional compare (including real-time BIST), data stream monitor, on chip instrumentation, and a Network On Chip (NOC) - integrated network performance analyzer.

He is a lecturer and system safety consultant serving numerous companies to assess safety architectures and develop safety-related process methodologies. His work also included SBIR efforts with Honeywell aerospace to develop improved prognostic/diagnostic tools for fault-tolerant data busses.

Currently, he is the co-owner and Functional Safety Engineering Consultant for LionThorn, LLC.

Associate Editors
Xian-Xu (Frank) Bai, Hefei University of Technology, China
Saeed Barbat, Executive Technical Leader for Safety, Ford Motor Company, USA
Madhur Behl, Computer Science, Systems and Information Engineering, University of Virginia, USA
Johannes Betz, Technical University of Munich, Germany
Sourabh Bhattacharya, Mechanical Engineering, Iowa State University, USA
Hoseinali Borhan, Cummins, Inc., USA
Andrew Bradley, Oxford Brookes University, UK
Huajun Chai, Pony.ai, USA
Vishnu Pandi Chellapandi, Cummins, Inc., USA
Zachary Doerzaph, Virginia Tech Transportation Institute, USA
Robert Fischer, Geospatial Transportation Information Management Association, USA
Zonghua Gu, Umeå University, Sweden
Umar Zakir Abdul Hamid, China Euro Vehicle Technology AB, Sweden
Kyungtae (KT) Han, Toyota Motor North America, USA
Chuan Hu, University of Alaska Fairbanks, USA
Valentin Ivanov, Technische Universität Ilmenau, Germany
Ken Kang, Honda R&D Americas, Inc., USA
Pardis Khayyer, Aptiv Corporation, USA
Robert Lange, Principal, Exponent, Engineering and Scientific Consulting, USA
Abdel-Ra'ouf Mayyas, Automotive Engineering/ Polytechnic School, Arizona State University, USA
Steven Muldoon, General Motors (retired), USA
Muthuvel Murugan, U.S. Army Research Laboratory, USA
Mehrdad Nojoumian, Florida Atlantic University, USA
Eric Nutt, The Weather Company, USA
Georgios Papaioannou, Delft University of Technology, Netherlands
Ramkrishna Pasumarthy, Indian Institute of Technology (IIT) Madras, India
Vamsi Krishna Vegamoor, Goodyear Tire & Rubber Company
Hrishikesh Venkataraman, Indian Institute of Information Technology (IIIT) Sri City, India
Zejiang Wang, Oak Ridge National Laboratory, USA
Ziran Wang, Purdue University, USA
Guoyuan Wu, Center for Environmental Research and Technology (CE-CERT), University of CA, Riverside, USA
Kevin Quanzhong Yan, Chrysler Technology Center, FCA US LLC, USA
Huilin Yin, Tongji University, China
Hui Zhang, School of Transportation Science and Engineering, Beihang University, China
Lei Zhang, Beijing Institute of Technology, China