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
USA
Operational Safety Testing
Safety evaluation and enhancement for CAVs
Beihang University
China
Control of Connected AVs
(The subpage for this CoE is being updated)
Boğaziçi University
Turkey
System Verification & Validation
Property-based testing and beyond for autonomous systems
City University of Hong Kong
China
Perception and Sensor Fusion
(The subpage for this CoE is being updated)
Clemson University
USA
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
Florida Polytechnic University
USA
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)
Nagoya University
Japan
Driving Behaviour & Sensor Signal Processing
Full-stack autonomous driving
Poznań University of Technology
Poland
Perception & SLAM
Perception, planning and SLAM for autonomous vehicles
Soongsil University
South Korea
Performance Analysis on AD Stacks
Performance guarantees for Software-Defined Vehicles
Technical University of Munich
Germany
Path & Behavioral Planning
Simulation focused development of full stack AV software
TU Delft
Netherlands
Scalable AV Perception and Planning
Developing more scalable AVs to operate in any environment
University of California, Irvine
USA
Software testing and analysis techniques
Assurance of autonomous driving dependability and security
University of Delaware
USA
Real-time Systems
Real-time operation systems for autonomous vehicles
University of Pennsylvania
USA
Learning-based Safe Autonomous Systems
Perception, planning and control for safe autonomous systems
University of Tokyo
Japan
Trustworthiness Assurance and Engineering
Creating a quality assurance methodology to ensure trustworthiness
University of Waterloo
Canada
AV Control, Learning and Logic-based Testing
Bridging the Sim2Real gap in autonomous vehicle testing
Virginia Tech Transportation Institute
USA
Real Time Perception System for Safety of AVs
3D perception system for AVs, and naturalistic driving data acquisition systems.
Xi’An Jiao-Tong University
China
Simulation and Synthesized Data for Safe Autonomous Systems
Yıldız Technical University
Turkey
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.
Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems
2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS)
Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack
2022 IEEE Intelligent Vehicles Symposium (IV)
PolyVerif: An Open-Source Environment for Autonomous Vehicle Validation and Verification Research Acceleration
IEEE Access, vol. 11, pp. 28343-28354, 2023