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Open-source software can help connected and autonomous vehicle teams move faster by letting them reuse modular software, collaborate on shared foundations, and connect development, simulation, fleet operations, and updates. But adoption figures and industry expectations do not prove that open source reduces development time or improves real-world safety. Those outcomes depend on the specific vehicle, hardware, operating conditions, integration work, and validation evidence.
What can open source accelerate?
Vehicle software spans more than driving algorithms. It includes the components that interpret sensors and control a vehicle, the in-vehicle software foundation that connects those components, and the cloud-to-car processes used to develop, validate, deploy, and manage software across a fleet.
Shared code and workflows create plausible ways to avoid duplicating some development work. Teams may be able to reuse components, work against common interfaces, and learn from a wider community. Those are mechanisms for potential acceleration—not proof of a specific time saving. The cited sources do not provide a comparable causal estimate of development time saved or real-world safety improved through open-source adoption.
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How does an autonomous-driving software stack fit together?
Autoware describes a modular autonomous-driving stack built on the Robot Operating System (ROS). Its overview includes sensing, localization, perception, planning, control, a vehicle interface, and map data. The modules exchange information through interfaces and APIs, so the output of one part can be used by another.
| Part of the stack | What it does | Examples or inputs |
|---|---|---|
| Sensing | Collects observations of the vehicle and its surroundings. | LiDAR, radar, cameras, GNSS, and IMU data. |
| Localization | Estimates the vehicle’s position by combining sensor information with map data. | Sensor data and high-precision maps. |
| Perception | Detects and tracks relevant objects and traffic controls. | Road users and traffic signals or signs. |
| Planning | Selects a path or course of action for the vehicle. | Information about the vehicle’s position and detected surroundings. |
| Control | Turns the selected plan into commands for vehicle motion. | Steering, braking, and acceleration commands. |
| Vehicle interface and maps | Connects autonomy software with vehicle functions and map data. | Vehicle-specific interfaces and map data. |
This modularity makes boundaries and integration points visible, but it does not remove the need to verify that sensor inputs, software behavior, and vehicle commands work together in the intended vehicle.
Autoware Core and Universe have different roles
Autoware divides its software into Core and Universe. Core contains functionality for project-targeted ODDs and follows the project’s stated engineering practices. Universe contains additional packages intended for research, development, and early experimentation. Autoware describes a roadmap toward curb-to-curb Level 4 capability; that is the project’s stated direction, not evidence that every Autoware deployment can operate at Level 4.
How does collaboration extend beyond autonomy algorithms?
Connected-vehicle development also needs foundations for software running inside the vehicle and workflows linking the vehicle to cloud systems. These can cover development tools, data collection and calibration, simulation, validation, fleet software management, and over-the-air (OTA) updates.
Autoware’s Open AD Kit connects autonomy development practices
The Autoware Open AD Kit brings software-defined vehicle development practices into the Autoware ecosystem. Autoware describes it as the first SOAFEE blueprint and outlines cloud-native development, connected data collection and calibration, simulation, system validation, and integration with an OTA ecosystem. The page names eSync Alliance and MIH Alliance as stakeholders and says eSync technology enables OTA capability. These describe the kit’s intended ecosystem and integrations, not a guarantee that every vehicle using it can safely or reliably update software.
Eclipse SDV addresses shared in-vehicle and cloud-to-car foundations
Eclipse SDV describes an open collaboration platform for scalable, modular, safety-capable components. The organization reports participation by more than 50 OEMs, Tier 1 suppliers, and technology leaders across more than 25 projects. It also says that eleven European automotive companies signed a memorandum of understanding in June 2025, with initial efforts centered on Eclipse S-CORE. These are organization-reported participation and project claims.
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The Eclipse SDV charter groups work into three areas: SDV.Dev for development toolchains and workflows, SDV.Ops for fleet software stack management, and SDV.Edge for cloud-native technology in vehicle software domains. The charter also describes work on quality management, functional safety, supply-chain security, compatibility, and interoperability processes. Shared processes can give teams common ground for integration; they do not, by themselves, establish that a particular vehicle or component meets safety requirements.
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Two sets of survey results indicate reported use and perceived value. They should be read as respondents’ answers, not as measurements of development speed, safety, or technical performance.
| Reported result | Survey context | How to interpret it |
|---|---|---|
| 95% expected open-source software to enhance flexibility and scalability in software-defined vehicles. | Eclipse Foundation, 2024; 300 automotive developers and business leaders. | An expectation among respondents, not a measured outcome. Eclipse Foundation’s announcement. |
| 98% recognized substantial value in software-defined vehicle technologies. | Eclipse Foundation, 2024; 300 automotive developers and business leaders. | Reported views about value, not proof of a realized benefit. Eclipse Foundation’s announcement. |
| 79% used open-source tools and/or in-vehicle software for automotive development. | Perforce Software and Eclipse Foundation, 2025; survey conducted in Q4 2024 with more than 650 automotive development professionals worldwide. | Reported adoption among survey respondents. 2025 survey summary. |
| 39% of OSS users actively contributed to open-source projects. | Perforce Software and Eclipse Foundation, 2025; the same survey of more than 650 professionals. | Reported contribution behavior among OSS users, not a measure of how much code or effort they contributed. 2025 survey summary. |
Together, these results support the conclusion that respondents reported meaningful adoption and perceived value. They do not establish that open source caused faster vehicle programs, lower costs, or safer vehicles.
What can make integration difficult?
In the 2025 Perforce Software and Eclipse Foundation survey, respondents reported the following challenges with open-source software integration. The percentages describe survey responses, not universal failure rates across automotive projects.
| Reported challenge | Share of respondents | Why a project team should examine it |
|---|---|---|
| Security concerns | 59% | Assess how components, dependencies, vulnerabilities, and updates are identified and controlled. |
| Licensing issues | 43% | Review applicable licenses and obligations before combining or distributing components. |
| Interoperability challenges | 36% | Check whether interfaces and versions work together across the intended stack. |
| Lack of long-term support | 35% | Determine who will maintain each component and address defects or changes over the vehicle’s service life. |
The survey summary does not make these percentages universal risk estimates. For a real program, teams need to evaluate the specific components and project context rather than treating any one figure as a prediction of failure.
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How should safety and security be assessed?
Openly available code can support inspection and collaboration, but availability alone is not safety assurance. Safety depends on the system architecture, hardware integration, operational limits, failure handling, and validation evidence for the particular vehicle and use case.
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A 2026 Autoware Foundation announcement describes a joint reference blueprint from Autoware, SOAFEE, and eSync Alliance. In its proof of concept, an Autoware pipeline on a Linux-based primary compute platform communicated through ROS 2/DDS with an isolated, Zephyr RTOS-based safety island. The announcement says the safety island supervised operation and handled fallback control and emergency actuation. It also reports that a minimum-risk maneuver was validated in the proof of concept and that the implementation addressed secure OTA updates through verification, traceability, and rollback.
Those are claims about the described blueprint and demonstration. They do not establish that an arbitrary vehicle using open-source software is safe, certified, or suitable for public-road operation. For a particular deployment, ask:
- Which operational design domain is supported, and where are its boundaries?
- Which functions are safety-critical, and how are failures detected and contained?
- Which hardware, sensors, and vehicle interfaces have been validated together?
- How are software versions, dependencies, vulnerabilities, and updates controlled?
- What evidence supports the safety case for this specific vehicle and intended operation?
How should a team evaluate development hardware?
Autoware says the Open AD Kit has been tested on ADLINK’s AVA Platform, Autocore’s PCU, NVIDIA’s Jetson Orin family, and NXP’s BlueBox III. That list identifies platforms used in testing; it is not a universal hardware recommendation or production approval. The source does not specify a Jetson Orin SKU or show that any configuration suits every autonomy workload.
When evaluating a development platform, compare it against the intended workload and integration constraints:
- Compute capacity for the target perception workload.
- Supported software, drivers, and accelerator stack.
- Sensor connectivity and required input/output interfaces.
- Power use and thermal limits in the intended enclosure.
- Real-time requirements and any need to partition safety-critical functions.
- Developer support and expected product lifecycle.
- Cost and whether the exact configuration has been validated with the intended software stack.
Confirm the precise hardware configuration and its compatibility with the target software before treating a development-board test as evidence about a different build or a production vehicle.
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