At the 11th international VDI conference on "Connected Off-Highway Machines" in Aschheim near Munich, you will receive a comprehensive overview of current and future technologies and innovations that have the potential to revolutionize the industry.
All major players in the off-highway industry are currently working on intelligent, connected technologies and solutions. Advances in automation, connectivity and digitalization are opening up many new opportunities. But there are still some unanswered questions along the way: How will connectivity and automation affect business models? How can companies benefit from big data in practice? How can artificial intelligence be meaningfully integrated into off-highway machines? When and how will fully autonomous off-highway machines become a reality? And what does this mean for the role of employees?
Discuss with leading international experts how work with mobile machines can be made even more efficient and safer through networking and automation.
The 2026 conference will take place in parallel with the Autonomous Trucks and Smart Farming conferences.
dSPACE will present its hardware and software. Visit us and talk to dSPACE's technical sales representatives about the latest product innovations.
Gautam Dobariya, Business Developer Automated Driving & Software Solutions
Middleware-Centric Approach for Development of Autonomy of Software-Defined Off-Highway Machines
The transition toward software-defined architectures is reshaping how autonomy is developed for off-highway machines, where diverse sensor configurations, harsh environments, and hardware variability introduce significant complexity. Developing reliable perception and autonomy software requires deterministic data handling, modular integration, and reproducible testing. These capabilities cannot be achieved through fragmented toolchains or hardware-dependent workflows. A middleware-centric approach addresses these challenges by enabling real-time multi-sensor synchronization, consistent and scalable data pipelines, and hardware abstraction. This foundation accelerates prototyping, improves software reliability, and ensures a clear path-to-production. As off-highway platforms evolve toward software-defined machines, middleware becomes the key enabler for efficient and robust autonomy development.