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

The post BrightDrive Joins the Autoware Foundation! appeared first on Autoware.

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

The post NomadicML Joins The Autoware Foundation! appeared first on Autoware.

This time, we’re adding powerful tooling to democratize AI model development for autonomous driving.

We’re excited to open-source Quanty — a comprehensive toolkit for ONNX model optimization & performance analysis using Quantization-Aware Training (QAT).

Up to 300% model compression while maintaining top-tier accuracy & performance!

Key Features:

• Works across different model types
• Preserves high accuracy while reducing memory usage
• Deployable on edge devices
• Apache 2.0 open-source license (with code & examples)
• Maintains generalizability (high precision & high recall )

Explore Quanty here: https://bit.ly/quantytools

Join the Autoware community and sharpen your AI & autonomous driving skills for free in our open work groups. Connect with experts, learn new tech, and showcase your work.

The post Quanty: Open-Source Model Optimization for AI-Driven Autonomy appeared first on Autoware.

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/

The post Auve Tech joins the Autoware Foundation! appeared first on Autoware.

In 2025, the Autoware Foundation celebrates 10 years since the birth of Autoware at Nagoya University — and we’re marking the occasion by returning to where it all started.

Join us on September 10 at Nagoya University for the very first AutowareCon, a global gathering of developers, researchers, innovators, and industry leaders advancing the future of open-source autonomous driving.

This half-day hybrid event will feature major announcements, community presentations, strategic updates, and, for the first time, a dedicated focus on real-world Autoware adoption and user acceptance — with livestreamed sessions from around the world showcasing how Autoware is being used, tested, and embraced globally.

Whether you’re building with Autoware, contributing to it, or simply curious about its journey — this is your moment to connect, celebrate, and collaborate.

Event Details (Scroll to the bottom of the page for the RSVP link)

• Date: September 10, 2025
• Time: 1:00 PM – 7:00 PM JST
• Location: TEL Auditorium, EI Building 3F, Nagoya University, Japan
• Format: In-person + global livestream

Tentative Agenda

Why Attend?

• Celebrate 10 years of Autoware at the university where it all began
• Witness the unveiling of Autoware 2.0, the next-generation modular architecture
• Explore real-world adoption and user acceptance across diverse regions and industries
• Share your work or learn from others in dedicated technical and deployment-focused spaces
• Understand the Foundation’s strategic shift toward open collaboration and real-world impact
• Connect in person and virtually with developers, researchers, and adopters worldwide

Call for Presentations

We’re building dedicated spaces to highlight both the technical innovation and real-world application of Autoware. If you’ve been contributing to the ecosystem, we want to hear from you!

Community Contributions (Technical Track)

For technical presentations on:

• Algorithms, tools, or system improvements
• Contributions to Autoware 2.0 or Open AD Kit
• Validation/Verification and Safety Assurance
• Architecture, modularity, performance, and reproducibility

Submit your technical talk here

Global Autoware in Action (Deployment & User Acceptance Track)

For showcasing:

• On-road testing, pilots, or service deployments
• Public demonstrations, validation campaigns, or real-world user feedback
• Regional stories of adoption and scaling

Submit your deployment story here

Submission Deadline: August 10, 2025
Notification of Acceptance: August 20, 2025

Please register your interest on how you want to join the conference (in person or remotely)
RSVP Here https://forms.gle/WwbJeR6MwQpnLArv7

Stay tuned for more on registration, livestream access, and the full speaker lineup.

Let’s celebrate the past, shape the future — and build open autonomy together.

The post A Decade in Motion. The First AutowareCon. 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

The post Advantech Joins the Autoware Foundation! appeared first on Autoware.

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.

The post Inceptio Technology joins the Autoware Foundation! 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/)

The post ASAM and the Autoware Foundation are partnering to advance autonomous driving appeared first on Autoware.

Join us on our LinkedIn Live event https://bit.ly/AutowareCafePoV

The post Autoware Café – How to build an AI-first and open-source AD Stack? appeared first on Autoware.

At Autoware Foundation, we’re building a suite of open source AI models to revolutionize autonomous driving across the globe

By breaking down proprietary silos, ensuring full transparency, and accelerating time-to-market for OEMs and Tier 1 suppliers, open source AI models will redefine how the automotive industry innovates.

𝐌𝐞𝐞𝐭 𝐒𝐜𝐞𝐧𝐞𝐒𝐞𝐠
Today, we’re thrilled to unveil our first release: SceneSeg, the open source vision AI engine that processes raw camera feeds to spot every critical foreground object—whether it’s a car, pedestrian, animal, loose tyre… or something you never dreamed it would see.

𝐖𝐡𝐲 𝐒𝐜𝐞𝐧𝐞𝐒𝐞𝐠 𝐈𝐬 𝐚 𝐆𝐚𝐦𝐞-𝐂𝐡𝐚𝐧𝐠𝐞𝐫?
𝘖𝘱𝘦𝘯 𝘚𝘰𝘶𝘳𝘤𝘦 𝘍𝘳𝘦𝘦𝘥𝘰𝘮: Full transparency, community-driven improvements, and zero licensing barriers—anyone can build, customize, and trust the tech.
𝘎𝘦𝘯𝘦𝘳𝘢𝘭-𝘗𝘶𝘳𝘱𝘰𝘴𝘦 𝘝𝘪𝘴𝘪𝘰𝘯: Learns what “important” looks like without bespoke detectors for each object type.
𝘌𝘥𝘨𝘦-𝘊𝘢𝘴𝘦 𝘔𝘢𝘴𝘵𝘦𝘳𝘺: From pedestrians darting into traffic to stray tyres rolling across highways—SceneSeg sees the rare, unpredictable scenarios that matter most for safety.

𝐏𝐫𝐨𝐯𝐞𝐧 𝐖𝐨𝐫𝐥𝐝𝐰𝐢𝐝𝐞
Tested on roads from Singapore’s bustling streets to Los Angeles freeways, Istanbul’s cityscapes to Dubai’s desert highways—rain, snow, fog, low light… SceneSeg handles it all.

𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭?
Stay tuned for our upcoming AI model introductions—more cutting-edge tools are on the horizon to power safe, scalable autonomy everywhere.

𝐂𝐚𝐫𝐞 𝐭𝐨 𝐭𝐞𝐬𝐭 𝐨𝐮𝐫 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬, 𝐨𝐫 𝐭𝐨 𝐣𝐨𝐢𝐧 𝐭𝐡𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐭𝐞𝐚𝐦?
We’re building these models in our Privately Owned Vehicle working group (free and open to anyone). Visit our LinkedIn announcement, comment on the post, and we will reach out to you for your onboarding.

The post SceneSeg – Autoware’s Open Source Vision AI Engine appeared first on Autoware.