Headquartered in Dubai, UAE, with several engineering offices in Egypt, BrightDrive develops Level 4 autonomous driving systems—covering both software and hardware—and has a proven track record in advancing autonomous vehicle platforms and mobility solutions.

As part of their membership, BrightDrive plans to:

Deploy Autoware’s Vision AI models (SceneSeg, EgoLanes, EgoPath) on its QuantumDrive Zonal Controller and middleware platform.

Contribute engineering expertise to the PoV Working Group for reference implementations and demonstrators.

Provide in-kind contributions, including access to the QuantumDrive platform and support in the development of Autoware E2E models.

Collaborate on joint marketing and GTM activities with the Autoware Foundation to engage automotive OEMs and showcase outcomes at global events.

Through this collaboration, the Autoware Foundation will advance its mission to deliver automotive-certifiable reference implementations for L2–L2++ autonomy, while BrightDrive will demonstrate the scalability and flexibility of its L4 QuantumDrive platform to support multiple levels of autonomy across diverse vehicle architectures.

We’re thrilled to welcome BrightDrive into the Autoware ecosystem to shape the future of open autonomous driving together.

Visit the BrightDrive website > www.brightdrive.ai

Visit the BrightSkies website > www.brightskiesinc.com

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Based in Cairo, Egypt, Garraio brings strong expertise in automotive cybersecurity, embedded systems, and functional safety compliance. Their focus with the Foundation is to help demonstrate an automotive-grade reference implementation of the Autoware Privately Owned Vehicle (PoV) stack on real hardware.

As part of their membership, Garraio plans to:

Deploy Autoware’s Vision AI models and PoV stack on automotive middleware and hardware for L2–L3 ADAS/AD applications

Contribute FTEs for the development of the PoV stack

Share insights on expanding AUTOSAR integration within Autoware

Collaborate on joint marketing and awareness efforts to engage automotive OEMs

Through this collaboration, the Autoware Foundation will be able to showcase a more production-ready, standards-aligned reference stack, while Garraio strengthens its engagement with the global open-source community and automotive ecosystem.

We’re very excited to welcome Garraio on board — and to see how their contributions will help advance the path toward safe and open-source autonomous driving.

Visit Garraio’s website > https://garraio.com/

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NomadicML brings deep expertise in machine learning infrastructure — powering the processing of millions of hours of driving footage to enable scalable, end-to-end AI development. Their vision strongly aligns with Autoware’s mission, as they see tremendous synergy with our open-source approach to autonomous driving.

As part of their membership, they commit to:

Integrate the NomadicML Platform and offer utility for intelligent data curation to automatically identify valuable training data

Provide dedicated resources and consultation to support Autoware’s AI-first, end-to-end model development

In addition, at later stages of their engagement, NomadicML will help design and implement modern MLOps pipelines for efficient large-scale model training, enabling faster iteration and scalability for Autoware’s AI-first future.

Here’s a good example of how NomadicML can be useful to the community:

In a recent blog post, they demonstrated how their two-step pipeline transforms the open-source Honda Driving Dataset (HDD) from raw video into structured, training-ready datasets. This showcases how the NomadicML Platform can streamline data curation and accelerate model development.

Read the full post here: Efficiently Curating Video Driving Datasets using the NomadicML Platform

https://www.nomadicml.com/blog/Efficiently%20Curating%20Video%20Driving%20Datasets%20using%20the%20NomadicML%20Platform

NomadicML will initially participate in the Privately Owned Vehicle Working Group, while also exploring opportunities to contribute across other working groups as their journey with Autoware evolves.

We’re excited to have NomadicML on board and look forward to accelerating Autoware’s transition to an AI-first future together!

Visit NomadicML’s website to learn more about them

https://www.nomadicml.com

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AuveTech, an Estonian pioneer in autonomous mobility, joins the Autoware Foundation as an Industry Member. Specializing in the development and deployment of autonomous shuttle vehicles, AuveTech has been delivering end-to-end transportation solutions across Europe, Asia, and North America. Their vehicle platform, autonomy stack, and remote fleet management tools have been designed to support safe and scalable operations in daily service.

AuveTech has demonstrated real-world readiness through deployments in countries such as Japan, Finland, Germany, the UAE, and the United States. These operational experiences provide critical insights into autonomy performance across a wide range of conditions — including public roadways, campuses, and low-speed environments. Their software solution has been built on top of the Autoware baseline and further evolved to meet the demands of reliable commercial deployment, system monitoring, and data-driven service improvement.

With a strong in-house engineering team and extensive field validation experience, AuveTech is committed to contributing to the Autoware ecosystem by helping improve test coverage, sharing field-derived test scenarios, and supporting debugging efforts. These contributions are expected to help strengthen the quality and reliability of the Autoware software stack through real-world feedback and continuous iteration.

As part of their engagement with the Autoware Foundation, AuveTech will participate in the Operational Design Domain (ODD) Working Group, the Software Working Group, and the Reference Design Working Group. Their goal will be to support the community with practical integration insights and share lessons from deployed systems to help guide modular development and deployment strategies.

By joining the Autoware Foundation, AuveTech expresses its commitment to collaboration and open innovation. Their journey — building on open-source foundations and expanding toward real-world operations — highlights the value of bridging development with deployment, and community with commercial implementation.

We are pleased to welcome AuveTech to the Autoware Foundation. Their field-tested experience and dedication to shared progress will help further Autoware’s mission to become the world’s leading open-source autonomous driving platform.

Learn more about AuveTech at: https://auve.tech

Explore Auve Tech’s ecosystem page: https://autoware.org/autowareio/auve-tech/

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We’re tracking a range of conferences, expos, and summits where Autoware’s voice and technology could play a role.

Here’s where you might find us soon:

July 29 Bay Area Meetup, Santa Clara, USA 

Aug 27-28 AVTE California, San Jose, USA 

Sep 9-14 IAA Mobility, Munich, Germany 

Sep 9 ROSCon Japan, 2025, Nagoya, Japan 

Sep 10 AutowareCon Nagoya, Japan 

Sep 25 GSVF 2025, Graz, Austria 

Oct 27-29 ROSCon 2025, Singapore

Are you heading to any of these events?

Or maybe there’s another gathering you think we shouldn’t miss?  Let us know! Drop a comment , send us a DM , or tag a friend who might be interested . Let’s make these next few months a meaningful chapter for everyone involved.

Find us at your nearest event. Hope to see you there!

The post Upcoming Events & Where to Find Autoware This Fall! 💡🚗 appeared first on Autoware.

What is the Autoware Challenge?

The Autoware Challenge is a global competition focused on solving real-world problems in autonomous driving software development. Participants are encouraged to submit projects that improve key aspects of Autoware, such as perception, localization, mapping, planning, and control. These components are essential to building reliable autonomous vehicles that can operate safely in diverse environments.

Highlights from the Autoware Challenge 2024

This year’s challenge started in June 2024 and ran through January 2025, attracting a variety of innovative proposals. The teams presented solutions ranging from pedestrian trajectory prediction to advanced 3D object detection and fail-safe teleoperation systems.

These projects not only advance Autoware’s capabilities but also reflect the growing maturity of open-source autonomous driving technologies.

Autoware: The Open-Source Software Behind the Challenge

Autoware is the world’s first all-in-one open-source software stack for autonomous vehicles. Built on the Robot Operating System (ROS), it supports a full range of functions needed for self-driving cars, including perception, localization, planning, and vehicle control. Because it is open source, Autoware encourages collaboration and continuous improvement by a global community of developers and companies.

The Autoware Foundation manages the project, bringing together member organizations to guide strategic and technical development. This organizational support helps ensure that Autoware remains reliable, scalable, and aligned with real-world industry needs.

Meet the 2024 Winners

After careful evaluation by judges from the Autoware Foundation and TIER IV, the following teams were awarded prizes for their outstanding contributions:

• 1st Place: Team CommonRoad — Rapid prototyping tools for motion planning research
  
• 2nd Place: Team AV Perception — Application-centered pedestrian trajectory prediction
  
• 3rd Place: Team GT-ARC, TU Berlin — Range of experts for 3D object detection using multiple sensors
  
• Honorable Mention: Team FTM Mapping — Long-term consistent point cloud mapping techniques
  

These winners demonstrated innovative approaches that address pressing challenges in autonomous driving, providing tangible improvements to the Autoware ecosystem.

Why the Autoware Challenge Matters

As autonomous driving technology progresses, open-source platforms like Autoware play a crucial role in accelerating research and deployment. The Autoware Challenge encourages collaboration among universities, companies, and independent developers to tackle real problems using shared resources. This open approach helps reduce barriers to entry, speeds up development cycles, and increases transparency in self-driving software innovation.

Watch the Presentations and Join the Community

All the presentations from the Autoware Challenge 2024 are now available on the Autoware Foundation’s YouTube channel. We invite enthusiasts, researchers, and industry professionals to watch the videos, learn about the latest advancements, and engage with the community driving open autonomous vehicle technology forward.

Stay connected with the Autoware Foundation for future events, updates, and opportunities to contribute to one of the most active open-source autonomous driving projects worldwide.

The post Autoware Challenge 2024: Advancing Open-Source Autonomous Driving Technology appeared first on Autoware.

Advantech has established a strong track record in the autonomous mobility domain, with a portfolio of solutions that support autonomous vehicles, mobile robots, and other autonomous applications. Their latest platforms are designed to serve as integrated controllers for robotic and autonomous systems, offering a seamless development environment for ROS and Autoware. These solutions address the full stack of AV development — including compute, sensing, localization, connectivity, and security — helping developers speed up deployment and ensure hardware-software compatibility.

By joining the Autoware Foundation, Advantech aims to support the advancement of low-speed autonomy and special-purpose autonomous vehicles. This includes applications in industrial automation, last-mile delivery, campus mobility, and other domains where reliable, real-time edge computing is essential.

As part of their initial involvement, Advantech is working to have several of its embedded edge computing platforms listed on the Autoware-supported hardware list. These systems have been thoroughly tested and confirmed for compatibility with Autoware, providing validated options for developers seeking to build upon proven hardware foundations.

Advantech will also participate in the Reference Design Working Group and the Low-Speed Autonomy Working Group, contributing its domain expertise in embedded computing and autonomous systems integration. Their involvement will help shape Autoware’s modular, production-oriented architecture for real-world deployments.

Demonstrating their commitment to open-source autonomy, Advantech featured Autoware and the Autoware Foundation prominently in their exhibit at COMPUTEX 2025, one of the world’s premier technology trade shows. This visible support reflects their strategic alignment with the Autoware community and underscores their commitment to promoting open collaboration within the industry.

We are delighted to welcome Advantech to the Autoware Foundation. Their focus on enabling real-time, industrial-grade autonomy — paired with their support for Autoware-compatible hardware and open community engagement — will be instrumental in driving the next generation of low-speed and special-purpose autonomous vehicles.

Learn more about Advantech at: https://www.advantech.com
Explore Advantech’s ecosystem page: https://autoware.org/autowareio/advantech

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Founded in 2018, Inceptio’s mission is to build a safer, more efficient line-haul logistics by partnering with OEMs and logistics operators to preload its technologies and systems into series production trucks. Inceptio launched the industry’s first series production autonomous trucks in late 2021. To date, Inceptio Autonomous Driving System has achieved over 200 million kilometers of commercial operations.

Inceptio’s technology portfolio covers L4, L3 and L2+. Leveraging its proprietary full-stack Inceptio Autonomous Driving System – which features long-range perception, high-precision tractor and tailer control, fuel-efficient driving algorithm, as well as HPC specifically designed for truck’s operating condition – Inceptio delivers proven, significant improvement on safety and saving on fuel and labor to the trucking industry. Its data-driven R&D platform continuously refines core modules in real time, enabling rapid deployment and optimization of its autonomous truck technologies across diverse use cases in trucking.

As a Premium Member, Inceptio will actively engage in Autoware Foundation initiatives – contributing technology, sharing use cases, exploring new applications, and forging global partnerships. In particular, Inceptio will collaborate on advancing cutting-edge autonomous driving technologies for the truck segment leveraging its extensive series production experience. In addition, Inceptio will foster global collaboration by working with partners including technology companies and leading OEMs to integrate Autoware solutions with its proprietary components in proof-of-concept and series production projects worldwide.

We are delighted to welcome Inceptio Technology to the Autoware Foundation and look forward to driving the next generation of safe, scalable autonomous trucking together.

Visit Inceptio’s website https://en.inceptio.ai/

To celebrate Inceptio Technology’s arrival at the Autoware Foundation and to catch up with the latest developments at Autoware, you are cordially invited to the Autoware Foundation Meetup at Inceptio Technology’s Shanghai office in China, on June 27, 2025.

If you are interested in joining, please send an enquiry to Yi Shen – yi.shen(at)inceptio.ai, and/or Gordon Pan – gordon.pan(at)tier4.jp.

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Technical University of Munich  is a premium member of the Autoware Foundation and as the SPC representative of TUM,  Johannes has long been an advocate for open, real-world autonomy development. Now, he will be working closely with our Executive Leadership Team to help steer SPC projects into the future.

Johannes brings a strong academic and technical background through his work with the TUM Autonomous Racing Team, his involvement with Roboracer (formerly F1Tenth), and the development of TUM’s EDGAR vehicle, proudly powered by Autoware.

A big thanks to Christian John for his leadership and dedication as the former SPC Chair. You have helped shape the path we are continuing on.

Let’s keep building together. We can’t wait to see what’s next!

The post Welcome to the new Chair of the Strategic Planning Committee! appeared first on Autoware.

Tokyo, Japan | Hoehenkirchen, GERMANY | May 15, 2025 – The Autoware Foundation, home to Autoware, the world’s leading open source project for autonomous driving, is excited to announce that ASAM e.V., one of the leading organizations for implementation-level standards in mobility development, has joined the Autoware Foundation as an alliance partner.

At the same time, the Autoware Foundation has become a member of ASAM e.V., This mutual partnership reinforces the commitment of both parties to collaborate more closely with respect to advancing standardization and interoperability across the autonomous vehicle industry.

Autoware is already using ASAM’s open standards, such as ASAM OpenSCENARIO, to describe driving scenarios for simulations and is currently extending its adoption to include ASAM OpenDRIVE. The ASAM OpenX standards are widely applied in the simulation domain, offering a robust ecosystem that integrates seamlessly into different simulation environments.

Currently, both organizations are evaluating the integration of ASAM SOVD into the Autoware Open AD Kit. ASAM SOVD, which is currently being transferred to ISO, is designed to standardize access to compute units in software-defined vehicles (SDVs). The Autoware Open AD Kit, which integrates a variety of SDV practices, could help significantly expand market adoption of the standard.

The partnership between ASAM and Autoware was initiated by Deepen AI, a safety-first tools and services company, enabling intelligent technologies for autonomous systems, and an active member of both organizations. 

As part of this initiative, Deepen AI has organized several joint meetups in the US Bay Area in the recent past to initiate and sustain a dialogue between ASAM, Autoware, and key industry stakeholders, fostering a shared vision for a standardized and interoperable autonomous vehicle ecosystem.

“We see strong potential in collaborating with the Autoware Foundation to advance standardization and interoperability in autonomous driving,” said Marius Dupuis, CEO of ASAM. “By aligning our efforts, we aim to broaden awareness and adoption of our standards.”

Christian John, Member of the Board of the Autoware Foundation adds: “Collaboration is key to making autonomous driving a reality. With ASAM, we have a strong partner to bring standardization and open-source development closer together and drive meaningful progress in the field.”

The collaboration between ASAM and the Autoware Foundation can serve as a significant indicator to the industry that open-source software and standardization can work hand in hand to accelerate innovation in autonomous systems.

For more information, visit us at www.asam.net or autoware.org, or visit us at the ongoing exhibition: ADAS & AV Technology Expo Europe between May 20 – 22, 2025, in Stuttgart. Visit us at the Deepen AI Booth on Hall 9, Stand number #9500

About the Autoware Foundation

The Autoware Foundation is a non-profit organization that hosts the Autoware project, the world’s leading open-source software project for autonomous driving. The Autoware project is built on Robot Operating System (ROS), and through using open source, it lowers the entry barrier to autonomous driving technology and enables commercial deployment of autonomous driving in a broad range of vehicles and applications.

Autoware Foundation has a vision to build open-source software for globally trusted autonomous driving systems that engage and advance society, and is on a mission to co-create a neutral, trusted hub that advances safety and beyond in mobility and society. Learn more about the Autoware Foundation on autoware.org

About ASAM e.V.

ASAM e.V. (Association for standardization of automation and measuring systems) is an international non-profit organization that develops standards for the mobility industry. ASAM promotes collaboration between OEMs, Tier-1 suppliers, tool vendors and academics to create standardized interfaces and data formats for vehicle development and diagnostics. With over 400 member companies worldwide, ASAM drives standardization in areas such as simulation, testing, measurement, and vehicle diagnostics, fostering innovation and improving efficiency in automotive development. ASAM standards are key building blocks for the development of automated vehicles and support the adoption of software-defined vehicles. Learn more about ASAM and our standards on www.asam.net

About Deepen AI

Deepen AI is a safety-first data lifecycle company specializing in machine learning and AI for autonomous systems. Our customizable tools and services support enterprises and start-ups worldwide.
Deepen AI also supports safe autonomous vehicles through initiatives like Safety Pool and taking part in ASAM standardization, including ASAM OpenLABEL, ASAM OpenODD, ASAM OpenXOntology, and ASAM OpenSCENARIO DSL. (www.deepen.ai/)

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