Call for Workshop Papers

We announce that papers submitted for workshops will undergo the same rigorous review process as our main conference papers. Once accepted, these papers will also be published in the conference proceedings. Authors of all accepted workshop papers are required to present in person at the event.

If you are interested in contributing, please take the following steps:

1. Select a Workshop: Refer to the list below to choose one of the workshop proposals that the authors submit a paper to.
2. Review Submission Guidelines: Each workshop has its own specific topic detailed in the "Call for Workshop Papers." provided below. Please make sure that the topic of the paper matches with the scope of the workshop.
3. Submit Using the Workshop Code: Authors should use the unique code assigned to the chosen workshop when submitting your paper via PaperCept. These codes are provided below.

The remainder of the submission process will be identical to that of regular conference submissions.

Important Dates

  • October 15, 2023: Workshop Proposals Submission Deadline
  • November 1, 2023: Workshop Proposals Notification of Acceptance
  • November 15, 2023: Workshop Websites Live / Workshops Codes
  • December 1, 2023: Workshop Papers Submission Open
  • February 5, 2024:Workshop Papers Submission Deadline
  • March 30, 2024: Workshop Paper Notification of Acceptance
  • April 30, 2024: Workshop Final Paper Submission Deadline
  • June 2, 2024: Workshops Day

Accepted Workshop List

By clicking the workshop title, you can find the detailed information including the organizer information and submission code.

▶ The 12th Workshop and Industry Panel on Cooperative and Automated Driving

▶ Innovation in Driver Safety: Cloud-Based Driver Monitoring System Workshop By Amazon Web Services®

▶ 1st Workshop on Small-scale Testbeds for Connected and Automated Vehicles and Robot Swarms

▶ UAV supported road traffic safety and ADS deployment

▶ Workshop on Trust Calibration and Feedback Generation in AI-Enabled Vehicle Systems

    (IEEE ITSS Workshop Series of Human-Centered AI in Transportation)

▶ Workshop on Remote Operation of Intelligent Connected and Automated Road Vehicles

  • Organizer(s): Maytheewat Aramrattana, Jonas Jansson, Andreas Schrank, Michael Oehl, Marek Vanzura, John Conway, Andrew Phillips
  • Code: RemoteOperation
  • Website:

▶ Interaction-driven Behavior Prediction and Planning for Autonomous Vehicles

  • Organizer(s): Sascha Hornauer, Maximilian Naumann, Eike Rehder, Jiachen Li, Wei Zhan, Martin Lauer, Masayoshi Tomizuka, Arnaud de La Fortelle, Christoph Stiller
  • Code: Interaction-drivenBehavior
  • Website:

▶ Intelligent Connected Vehicles Based on Advanced Communication Technologies

  • Organizer(s): Yongfu Li, Yang Li, Ye Li, Fangrong Chang, Hanchu Zhou, Hang Zhao
  • Code: IntelligentConnectedVehicles
  • Attachment: Move to Call for WS Papers

▶ 1st Workshop on Application of Intelligent Infrastructure for Automated Driving: Supported and Guided Driving - from Technical Challenges to Evaluation on Test Areas and Proving Grounds

▶ Workshop on Modular Autonomous Vehicles (MAVs)

  • Organizer(s): : Tao Liu, Kai Liu, Meng Meng, Qingyun Tian, Wenbo Fan, Yu Jiang, Zhichao Cao, Zhiwei Chen
  • Code: ModularAutonomousVehicles
  • Attachment: Move to Call for WS Papers

▶ SAFE-DRIVE: Data-Driven Simulations and Multi-Agent Interactions for Autonomous Vehicle Safety

  • Organizer(s): Shoaib Azam, Farzeen Munir, Tsvetomila Mihaylova, Syed Arsal Huda, Stefan Reitmann, Nico Uhlemann
  • Code: SAFE-DRIVE
  • Website:

▶ 5th Workshop on Data Driven Intelligent Vehicle Applications (DDIVA)

▶ Fourth Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments (ITSIVUE 2024)

▶ 3rd Workshop on Bridging the Gap between Map-based and Map-less Driving

  • Organizer(s): Frank Bieder, Richard Fehler, Fabian Immel, Ömer Şahin Tas, Martin Lauer
  • Code: BridgingTheGap
  • Website:

▶ Workshop on Off-Road Autonomy

▶ The 2nd International Workshop on Socially Interactive Autonomous Mobility (SIAM)

  • Organizer(s): Chengyuan Zhang, Letian Wang, Yueyang Wang, Jiachen Li, Yuxiao Chen, Gustav Markkula, Changliu Liu, Lijun Sun, Wenshuo Wang
  • Code: SociallyInteractive
  • Website:

▶ Autoware – ROS-based OSS for Autonomous Driving

▶ Infrastructure Support and Impact in Autonomous Vehicle Deployment

▶ Are You Happy with AV? The 3nd Workshop on User Experience (UX) in AV-Human Interaction

▶ Workshop on Human Factors in Intelligent Vehicles (HFIV’24)

  • Organizer(s): Cristina Olaverri-Monreal, Elmar Matthes, Fernando Garcia
  • Code: HFIV24
  • Website:

T-IV & IV 24 Joint Workshop

▶ Workshop on Foundation Intelligence for Intelligent Vehicles

Organizer(s): Jiaqi Ma, Yutong Wang, Xin Xia

Code: Foundation Intelligence for Intelligent Vehicles

Submission Guidelines: The review process of this workshop paper will be conducted through the submission system of IEEE Transactions on Intelligent Vehicles (TIV):

1. Visit the submission website of IEEE Transactions on Intelligent Vehicles ( and log in.
2. Select "Authors" → "Start New Submission" → "Begin Submission".
3. Choose "Special Issue on Foundation Intelligence for Intelligent Vehicles" from the type menu.
4. Proceed with the upload instructions.

Papers that are accepted must subsequently be submitted by the authors in their final versions through Please first choose "Submit a contribution to IEEE IV 2024" and then choose "Workshop paper" under "Type of submission" and use our workshop code Foundation Intelligence for Intelligent Vehicles during the submission process.

Outstanding workshop papers will be recommended for revision for possible paper extension to a full-length TIV regular paper and publication in the TIV Special Issue on Foundation Intelligence for Intelligent Vehicles.

The purpose and scope of this joint workshop
As the field of Intelligent Vehicles (IV) continues to advance, the integration of foundation intelligence technologies is becoming increasingly critical. This workshop is dedicated to exploring the forefront of Foundation Intelligence and its pivotal role in advancing the field of IV. The foundation technologies may encompass a range of established methods like traditional machine learning, data-driven artificial intelligence (AI), and sensor fusion, as well as emerging advancements such as large language models (LLM) and vision language models (VLM), other multi-modal foundation solutions and knowledge-driven AI.

This workshop is dedicated to exploring these key technologies and their integral role in enhancing the capabilities of IV. We aim to delve into how these innovative technologies, are contributing to the development of intelligent vehicles. These models are not only pivotal in processing vast amounts of data for improved decision-making but also play a crucial role in advancing autonomous driving, vehicular communication, and human-machine interactions. We seek contributions that demonstrate the application of these foundation models in various aspects of intelligent vehicles, from enhancing vehicular autonomy and safety to optimizing traffic management and vehicle-to-everything (V2X) communication systems. We welcome submissions that explore the potential of traditional and emerging foundation intelligence technologies in the context of IV, including their application in algorithm development, system integration, real-world implementations, and theoretical advancements. Our goal is to compile a collection of research that not only highlights the current state of these technologies in intelligent vehicles but also provides insights into future directions and innovations in this rapidly evolving field. The topics of interest within the scope of this special issue include (although not limited to) the following:

  • Advanced AI-Enhanced Perception Systems for Environmental Understanding in IV
  • Implementing Advanced Sensor Technologies in IV for Improved Navigation
  • AI-Enabled Predictive Analytics for Vehicle Dynamics and Performance
  • Machine Learning in Enhancing IV Safety Features
  • Decision-Making in Autonomous IV
  • Next-Generation Vehicular Networks for Enhanced IV Communication
  • AI Approaches to IV Cybersecurity and Data Privacy
  • Enhancing IV Performance by vehicle to everything (V2X) such as Cloud and Edge Computing Technologies
  • Social Impact of IV
  • Cyber-security of IV
  • Human-machine Interaction and Collaboration in IV
  • Predictive diagnosis and maintenance of IV
  • Motion Prediction and Decision-Making of IV
  • Muiti-Sensor Fusion State Estimation of IV
  • Testing, Verification and Assessment for IV
  • Knowledge-driven AI (e.g., LLMs, VLMs) for IV

Please feel free to contact via email the main organizers Jiaqi Ma (, Yutong Wang ( and Xin Xia ( if the authors had any questions.