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A fleet of self-driving trucks from MAN on a spacious test site.

MAN - ATLAS L4. Control Center for the autonomous truck

Project duration: 2022 to 2025

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HomeCase StudiesMAN – ATLAS L4. Control center for autonomous trucks
Technologies

Amazon Web Services (AWS), AWS Lambda, Apollo, GraphQL, DataDog, Infrastructure as Code (IaC), Kafka, Kotlin, React, Spring Boot, TypeScript

Team

Software Developer, Digital Designer, Tester

Autonomous trucks: the ATLAS-L4 research project

With the ATLAS-L4 project (automated transport between logistics centers on level 4 expressways), our customer is pursuing the goal of realizing fully automated driving of trucks in real freeway scenarios with mixed traffic.

For this project, our customer MAN Truck & Bus SE joined forces with Knorr-Bremse, LEONI and Bosch. Together with the provider of automated logistics FERNRIDE, the test tool manufacturer BTC Embedded Systems and the research service provider for human factors topics WIVW, autonomous trucks are to be used on the highway for the first time by mid-2025. The focus is on the development of technologies for the vehicle function and their implementation on an L4-compatible vehicle architecture.

The Fraunhofer-Gesellschaft, the Technical University of Munich (TUM) and the Technical University of Braunschweig are providing scientific support for the project, while TÜV SÜD and Autobahn GmbH are contributing their expertise with regard to practical feasibility and the approval process.

  • A group of people are talking at a trade fair.
  • A self-driving truck from MAN.
  • A self-driving truck from MAN.
  • A group of people stand in front of a self-driving truck from MAN.

Development of a control center for driverless trucks

A trained person in the control center should technically monitor the driverless vehicles and support the trucks in complex situations. They have access to all the necessary information about the vehicle. For monitoring purposes, the vehicle status, including the status of all control and regulation devices, is queried and visualized in the Control Center.

The Control Center currently comprises basic remote functions, including monitoring, remote support, mission handling and reporting functions. These functions are constantly being expanded to meet operational and regulatory requirements.

With the completion of the ATLAS L4 project in May 2025, the Control Center was successfully put into operation with real test vehicles and tested under realistic conditions. The Control Center represents a further step towards the commercial application of autonomous transport solutions in the digital logistics of the future.

From development to testing to user experience. We are implementing the Control Center application in collaboration with a MAN development team. This included these tasks:

Technical implementation of interfaces to the vehicle and visualization of vehicle data.

Creation of a data structure for managing vehicles and vehicle data.

Development of a concept for user administration with specific access rights.

Display of vehicle data relating to automation in the fleet monitor.

Technical implementation for displaying vehicle data relating to automation.

Development of concepts and functionalities to notify the control center operator in the event of technical malfunctions and anomalies during operation.

Agile prototyping with virtual journeys and field data analysis

We analyzed and implemented relevant prototype test environments and defined test cases. We accompanied the test drives virtually and evaluated the data collected in the field.

We promoted agile collaboration: a Scrum Master accompanied the team during the prototype implementation. We regularly coordinated the work results with MAN and SCANIA and organized reviews.

We developed the product's UX and strategy in collaboration with TRATON's UX, product designers and architects. This included these tasks:

Designing a consistent user experience by involving stakeholders at an early stage and testing prototypes.

Work on the conception and definition of the product and service in collaboration with different areas of the business to align them with the global strategy.

We used modern software engineering methods, such as architecture patterns and frameworks. We also relied on a high degree of automation in build, deployment and software testing.

The autonomous truck on the road is feasible

After 3.5 years, the autonomous truck on the road has become a reality! Practical proof of the technical feasibility of autonomous trucks has been provided, and the results of ATLAS-L4 can now be incorporated as concepts into further development work for the series development of autonomous trucks.

Portrait of Paula Montesa
With our MVP, MAN has a solid technical basis to continue testing, further improve the end product of the Control Center and adapt it to the needs of the market. The MVP offers established connectivity with all relevant components, ensuring smooth communication and integration and optimizing the functionality of the system.
Paula Montesa, Senior Lead Digital Designer, MaibornWolff
A large group of people stand in front of a self-driving truck from MAN.

Agile working methods and synergies within the Group

Agile working methods and scrum methods have been taught and learned so that everyone can react more efficiently and flexibly to changes.

Cooperation between the Group companies has improved, which is reflected in harmonized working methods and synergies. The efficiency and quality of projects have been increased.

MAN has demonstrated the results at several trade fairs.

Regulations and technologies changed

Some of the regulations and processes were developed during the course of the project. In addition, the technology continued to develop on an almost daily basis. All of these changes and improvements had to be taken into account during the development of the project, which also required extensive stakeholder management.

Large truck with open engine compartment in an exhibition hall. Visible chassis, engines and wiring harnesses; two monitors on stands; an open plastic box with red cables. In the background black partitions, a chair and banner with gas station/Atlas-L4.

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Why MaibornWolff?

As one of the most innovative IT service providers with a great passion for AI, we focus entirely on the project business and individual software development - without our own products. To stay at the forefront, we continuously invest in our team of digital technology engineers and develop digital solutions that are well thought-out, efficient and reduced to the essentials.

Our principle: simplicity instead of complexity. We only develop what is really needed - tailor-made, useful and reliable. Our results speak for themselves. With over 800 large-scale systems and more than 10,000 person-years of experience in high-end software engineering, we are one of the few who can reliably implement even the largest and most complex IT landscapes. Thanks to close partnerships with leading hyperscalers, our customers operate their solutions in today's most modern and powerful environments.

Less technology. Better Business.

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