Reliable Data from Operating Area

More safety for autonomous driving with infrastructure support

Precise, liable & reliable data for safe operation

Autonomous driving requires precise and reliable environmental data. But how can it be ensured that this data is not only reliable, but also legally liable?
With our operational area infrastructure, we enable the reliable and accountable provision of safety-critical data services.
Among other things, we continuously record the signal quality of satellite navigation & mobile communications and augment where the vehicle itself is ‘blind’.
Our solution is legally compliant, scalable and enables autonomous trucking & hub-to-hub transport in accordance with AFGBV regulations.

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Liable data for autonomous driving

The safety of autonomous trucks and vehicles depends crucially on the quality and reliability of the data used for communication and monitoring.

  • Lack of legal protection: who is responsible if a decision is based on incorrect sensor data?
  • High requirements for data quality & integrity: data must be stored reliably and unalterably.
  • Regulatory requirements (AFGBV, ISO 26262, GDPR): Autonomous systems require traceable data collection and provision, which must be legally compliant.

Approved and certified infrastructure for liable data

With our operational area infrastructure, we provide safe & reliable data for autonomous vehicles - in real time and with the highest quality standards.

Key benefits of our solution:

  • Guaranteed data integrity & traceability
  • Real-time monitoring & AI-supported analysis
  • Technical supervision in accordance with AFGBV
  • Scalable for hub-to-hub transport & logistics solutions
  • GDPR-compliant storage & processing of security-critical data

Our technology enables the safe operation of autonomous vehicles in operational areas.

How does it work?

DiMOS combines state-of-the-art 5G networking, GNSS quality of service monitoring and AI-powered sensor fusion to deliver high-quality, real-time operating area data.

  • Sensor data from vehicles & infrastructure is continuously collected and processed.
  • AI-supported data analysis validates, interprets and secures the data.
  • Legally compliant storage & documentation for full traceability.
  • Real-time transmission to technical supervisors for maximum safety in the operating area.

Applications and areas of use

Our liable data infrastructure is used in various areas of autonomous mobility:

  • Autonomous logistics & hub-to-hub transport
  • Smart traffic control in defined operating areas
  • Legally compliant monitoring of the operation of autonomous vehicles in accordance with AFGBV
  • Use in networked test fields & smart cities

Example: An autonomous truck drives on a defined hub-to-hub corridor. Our infrastructure ensures that all relevant environmental data is available, validated and documented in real time - for maximum safety and compliance.

Why DiMOS? - Legal certainty & innovation in one solution

DiMOS combines state-of-the-art technology with regulatory expertise to enable secure, traceable and accountable data provision for autonomous vehicles.

  • Compliance with all relevant standards & regulations (AFGBV, ISO 26262, GDPR)
  • Verifiably liable data processing for authorities & operators
  • Use of state-of-the-art sensor technology & AI analysis for the highest data quality
  • Integration into existing autonomous driving & logistics systems

Our infrastructure support enables autonomous driving with maximum data security - legally compliant, reliable & future-proof.

Would you like to find out how our operational area infrastructure enables secure and liable data for autonomous driving?

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Q & A

What does "legally accountable data" mean specifically – and why is it so critical for autonomous vehicles?
"Legally accountable data" refers to data collected, stored, and documented in compliance with legal requirements – including timestamps, sources, and immutability. This is essential because decisions made by autonomous vehicles must be legally verifiable in case of disputes, such as accidents or technical incidents. Our infrastructure ensures this data is court-compliant and readily available.
What data sources does the DiMOS infrastructure use – and how is their reliability ensured?
Our infrastructure combines GNSS (satellite navigation), cellular networks (5G), and local sensors (e.g., traffic signals, edge cameras). Quality-of-service monitoring continuously checks whether all channels deliver sufficient reliability. Critical gaps (e.g., in tunnels or urban canyons) are addressed through infrastructure augmentation – ensuring autonomous systems never operate "blind."
How does the solution ensure compliance with regulatory requirements like AFGBV, ISO 26262, or GDPR?
Our solution is designed for full compliance with these standards. Data processing adheres to GDPR (including purpose limitation, access control, and pseudonymization), the security architecture follows ISO 26262/21434, and technical supervision under §AFGBV is supported by automated documentation. All relevant evidence is available for audits and approval processes.
What role does the infrastructure play during ongoing operations – for example, during network outages or signal interference?
Our systems feature redundancies and failover protocols. During network outages, data is buffered locally and synchronized once connectivity is restored. For signal interference, a multi-stage fallback is triggered – e.g., using alternative positioning services or secured safety protocols. Technical supervision is immediately notified of critical deviations.
Any more questions?
Contact the team and we’ll respond ASAP.
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