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.
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.
System Verification & Validation
Property-based testing and beyond for autonomous systems
Verification & Validation
Open autonomy Verification & Validation frameworks
Czech Technical University
RTOS and Optimization for AVs
Optimization algorithms and real-time support for autonomous vehicles
Florida Polytechnic University
Validation & Verification
PolyVerif: Autoware-based open-source V&V toolchain
Using motorsports to promote STEM for young talents.
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
Digital Twins of Automated Vehicles
Technical University of Munich
Path & Behavioral Planning
Simulation focused development of full stack autonomous vehicle 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 operation systems for autonomous vehicles
University of Pennsylvania
Learning-based Safe Autonomous Systems
Perception, planning and control for safe autonomous systems
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.
University of Tokyo
Trustworthiness Assurance and Engineering of Intelligent Systems
Create a quality assurance methodology to ensure trustworthiness of intelligent systems.
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