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The Autoware Tutorial & Workshop at the IEEE Intelligent Vehicles Symposium (IV 2026)

Author: ADMIN
The Autoware Tutorial & Workshop at the IEEE Intelligent Vehicles Symposium (IV 2026)

IEEE IV Worshop Day, June 22nd 2026

8:30am-5:30pm Cadillac Room A&B

The 4th Autoware Tutorial & 8th Autoware Workshop at IV

Autoware is the world’s first open-source self-driving software built on ROS2 middleware, offering all core capabilities required for autonomous driving. More than a decade after its initial release, Autoware continues to advance education, research, and industry adoption of autonomous driving technologies. It is maintained by the Autoware Foundation (AWF), a global consortium of over 80 organizations from academia, industry, and government, jointly developing an open software and hardware ecosystem.

Join Us @ IV

The Autoware Foundation is happy to invite you to attend the Autoware Tutorial and Workshop at IEEE IV 2026 in Detroit, USA. This year the tutorial and workshop are combined in a full day event. In the morning, come join a hands-on tutorial on the Autoware software stack and learn how to install the open source autonomous driving system on your own computer and run it in simulation and on real world vehicles. In the afternoon workshop, we present the latest real world autonomous driving research powered by Autoware and highlight the latest developments in the Autoware project and industry partners!

Welcome & Tutorial

08:30
08:35
Opening Welcome

Speaker: Alexander Carballo (Gifu University), Simon Thompson (TIER IV), Rahul Mangharam (University of Pennsylvania)

08:35
08:40
Opening The Autoware Project: State of the Union

Speaker: Christian John (Autoware Foundation, TIER IV)

08:40
09:20
Tutorial The Autoware Pipeline – Concepts and Basic Use

Speaker: William He (University of Delaware)

09:20
10:00
Tutorial Getting Started with Autoware on RoboRacer Off-Road: From Simulation to Real-World Off-Road Autonomy

Speakers: Yon Vanommeslaeghe (University of Pennsylvania) & Po-Jen Wang (Autoware Foundation)

10:00
10:40
Tutorial Put Together Your Own Autonomous Vehicles Using Autoware from Small-Scale to Full-Size

Speakers: Chi-Sheng Shih, Hsiang-Jui Lin, and Meng Hsueh Lee (National Taiwan University)

10:40
11:00
Coffee Break & Networking

Workshop – Papers and Community Presentation

11:00
11:30
Workshop Updating Autoware: towards SDV and E2E Autonomous Driving

Speakers: Ryohsuke Mitsudome (Autoware Foundation, TIER IV)

11:30
11:50
Workshop AI Challenge – Autoware as a racing simulation

Speakers: Yu Asabe (TIER IV)

11:50
12:10
Workshop TUM – Edgar: Scalable Deployment of Autoware

Speakers: Korbinian Moller (Technical University of Munich)

12:10
12:30
Workshop A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving

Speakers: Yupeng Zhou and Ziran Wang (Purdue University)

12:30
13:30
Lunch Break
13:30
13:45
Workshop – Posters Poster Highlights (1 min each)

Speakers: All Workshop Paper Authors

13:30
15:30
Workshop – Posters Workshop Papers Poster Session

Speakers: All Workshop Paper Authors

15:30
15:50
Coffee Break & Poster Cont.
15:50
16:10
Workshop D3VL: Understanding Driving Scenes from 3D Time Series Data and Video with Language Models

Speakers: Abhijit Sarkar (Virginia Tech Transport Institute)

16:10
16:30
Workshop Towards Autonomous Rally Driving

Speakers: Alexander Carballo (Gifu University)

16:30
16:50
Workshop CarLab: CAV in the Autoware Ecosystem

Speakers: William He (University of Delaware)

16:50
17:10
Workshop From Research to Road: Re-Architecting Autoware’s Middleware Layer for Production Autonomous Vehicles

Speakers: Takahiro Ishikawa (TIER IV)

17:10
17:30
Workshop A Tale of Two Open-Source Ecosystems: When AutoDRIVE Met Autoware…

Speakers: Tanmay Samak, Chinmay Samak (Clemson University)

The Combined Autoware Tutorial & Workshop at the IEEE Intelligent Vehicles Symposium 2026

Tutorial (8:30-10:30)

As autonomous driving (AD) research matures, the barrier to entry remains high due to the complexity of integrating perception, planning, and control stacks. This tutorial lowers that barrier by introducing Autoware, the world’s leading open-source autonomous driving software platform [https://autoware.org].

Designed for researchers, students, and industry engineers, this session provides a comprehensive entry point into the Autoware ecosystem (based on ROS 2). Attendees will move beyond theory to practice through a guided, hands-on workshop covering the installation, configuration, and execution of the Autoware stack in simulation. Furthermore, the tutorial will bridge the gap between research and vehicle deployment by demonstrating how to integrate Autoware on Off-Road and Low Speed Vehicles. By the end of the session, participants will have a comprehensive understanding of the Autoware software stack, a functional AD environment on their laptops, and the knowledge to  integrate the platform on the simulator or vehicle of their choice. 

Keywords: Open-source Autonomous Driving, Autoware, ROS 2, Education, Simulation,, Vehicle Integration.

Target Audience

  • Graduate Students & Academic Researchers looking for a validated platform to test novel algorithms without building a car from scratch.
  • Industry Engineers seeking to understand open-source standards in AD.
  • Prerequisites: Basic familiarity with Linux (Ubuntu) and ROS/ROS 2 concepts is recommended.

Workshop (11:00 to 17:30)

This workshop aims to:

Explore state-of-the-art technologies such as advanced sensing, map-less navigation, connected vehicles, end-to-end driving, and semantic scene understanding, with pathways for integration into Autoware.

Investigate navigation strategies for autonomous racing and their transfer to urban environments.

Examine cooperative–competitive multi-agent systems for autonomous driving.

Address open challenges, including adverse weather, and review emerging solutions.

The workshop engages IEEE ITS Society and IV participants while broadening the Autoware community. It provides value to newcomers seeking foundational knowledge for research and development, as well as to experts looking for the latest advancements and opportunities to contribute to an active open-source ecosystem dedicated to safer and more accessible autonomous driving.

Now in its 8th edition at IV, the workshop has been co-hosted with the symposium since its inception and continues to grow under the Autoware Centers of Excellence, with rising paper submissions each year.

Workshop Papers (Poster Session 13:30-15:30)

13:30
15:30
Workshop – Posters Workshop Papers Poster Session

Speakers: All Workshop Paper Authors

AutoSDV: A Software-Defined, 5G-Enabled Platform for Autoware Education and Development Lin, Hsiang-Jui; Shih, Chi-Sheng
FlowCalib: LiDAR-To-Vehicle Miscalibration Detection Using Scene Flows Tahiraj, Ilir; Wittal, Peter; Stratil, Loic; Lienkamp, Markus
CommonRoad-To-Autoware 2.0: Simplifying Sim-To-Real Transfer of Behavior Planning in Autonomous Driving Mascetta, Tobias Falco Wolfgang; Würsching, Gerald; Pflaumbaum, Sven; Althoff, Matthias
Roadside Guardian: V2X-Based Trajectory Monitoring and Intervention for Securing Autonomous Vehicles Nakamura, Shotaro; Carballo, Alexander
Real-Time Dynamic Driving Task Assessment in Autoware-Based Simulation Aligned with SAE J3237 Guo, Hengcong; San Agustin, DeAndre; Thota, Venkata Seetha Ram Mohan; Rahimi, Shujauddin; Rundus, Steven; Wishart, Jeffrey; Zhao, Junfeng
TruckOcc3D: A Long-Range 3D Occupancy Prediction Dataset for Autonomous Trucking in Diverse Conditions Fent, Felix; Oberle, Maximilian; Lienkamp, Markus
Robust Global–Local Behavior Arbitration Via Continuous Command Fusion under LiDAR Errors Elgouhary, Mohamed; El-Wakeel, Amr
Constructing a Digital Twin of a Physical Testbed: A Practical Guide for Connected Autonomous Vehicle Simulation Thomas, Oakley; Gedela, Rama Sai Rahul; Pirangi, Anurag Hruday; Rah, Jee Heum; Kum, Yunchang; Korzelius, Steven; He, Chaozhe; Sadek, Adel; Qiao, Chunming
Uncertainty Triggered Re-Ranking to Counter Uncertainty Induced Conservatism in High Speed World Model Based Trajectory Selection Jang, Jaein; Lee, Junseok; KIM, SHIHO
Performance Profiling and Online Monitoring on Autonomous Vehicle Systems with Time-Sensitive Networking Kuo, Taiyou; Chang, Chih-Hao; Hung, Shih-Hao; Liang, Wen-Yew
Dynamic Lookahead Distance Via Reinforcement Learning-Based Pure Pursuit for Autonomous Racing Elgouhary, Mohamed; El-Wakeel, Amr
Driving On: Taking Our Autoware AV Testbed Further Meka, Harsha; Gutha, Bharadwaj; Korzelius, Steven; He, Chaozhe; Sadek, Adel; Qiao, Chunming

Organizers