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Centers of Excellence

Make Autoware
Development Easy & Effective

Easy -> Develop a Ready-to-install system supported by training tutorials and Ready to-run use cases through reference designs in simulation & on deployed vehicles.

Efficient -> Develop a solid perception, planning and control stack with well-defined functionality and instructions for extensions.

Working Together

Autoware Foundation Centers of Excellence is initiated at the Pennovation Center of the University of Pennsylvania and now spread over 11 universities in around the world, and continues to expand.

Each Autoware Foundation Centers of Excellence brings fresh energy and effort to make Autoware development easy and efficient mission for a success.

Arizona State University


Operational Safety Testing

Safety evaluation and enhancement for CAVs

Beihang University


Control of Connected AVs

(The subpage for this CoE is being updated)

Boğaziçi University


System Verification & Validation

Property-based testing and beyond for autonomous systems

City University of Hong Kong


Perception and Sensor Fusion

(The subpage for this CoE is being updated)

Clemson University


Verification & Validation

Open autonomy Verification & Validation frameworks

Czech Technical University

Czech Republic

RTOS and Optimization for AVs

Optimization algorithms and real-time support for AVs

ETH Zurich


Full-stack AVs

(The subpage for this CoE is being updated)

Florida Polytechnic University


Validation & Verification

PolyVerif: Autoware-based open-source V&V toolchain

Gyeongsang National University

South Korea

Formal Methods for Safe Autonomy

(The subpage for this CoE is being updated)



Autonomous Racing

Using motorsports to promote STEM for young talents.

Nagoya University


Driving Behaviour & Sensor Signal Processing

Full-stack autonomous driving

National Taiwan University


Real-time AV Stack

Collaborative autonomous systems

Poznań University of Technology


Perception & SLAM

Perception, planning and SLAM for autonomous vehicles

Purdue University


Digital Twins of Automated Vehicles

Closing Sim2Real Gap

SUNY Buffalo


Full-stack AVs

(The subpage for this CoE is being updated)

Technical University of Munich


Path & Behavioral Planning

Simulation focused development of full stack AV software

University of Alberta


Perception and Control

Safe Connected Autonomous Systems

University of California, Irvine


Software testing and analysis techniques

Assurance of autonomous driving dependability and security

University of Delaware


Real-time Systems

Real-time operation systems for autonomous vehicles

University of Pennsylvania


Learning-based Safe Autonomous Systems

Perception, planning and control for safe autonomous systems

University of Tokyo


Trustworthiness Assurance and Engineering

Creating a quality assurance methodology to ensure trustworthiness

University of Waterloo


AV Control, Learning and Logic-based Testing

Bridging the Sim2Real gap in autonomous vehicle testing

Virginia Tech Transportation Institute


Real Time Perception System for Safety of AVs

3D perception system for AVs, and naturalistic driving data acquisition systems.

Yıldız Technical University


Perception, Prediction and Control

Developing methodologies for safer mobility

Cutting Edge Research

Check out the latest Autoware-related publications contributed by the Centers of Excellence.

APRIL 11,2018

Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems

2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS)

JUNE 5,2022

Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack

2022 IEEE Intelligent Vehicles Symposium (IV)

MARCH 17,2023

PolyVerif: An Open-Source Environment for Autonomous Vehicle Validation and Verification Research Acceleration

IEEE Access, vol. 11, pp. 28343-28354, 2023