10. Internationale VDI-Konferenz „Connected Off-Highway Machines“

Dr. Ing. Patrick Wolf, Senior Safety Engineer, IESE Fraunhofer, Germany

Make the most of this networking opportunity by participating in these quick and effective 1-to-1 interactions. Get to know the other attendees and exchange your business cards.

• Concepts and systemic approaches to autonomy in mining and earth-moving
• Challenges bringing autonomy from the lab to the rough, real world
• Longer-term experiences from practical applications
  Dr.-Ing. Manuel Bös, R&D Wheel Loader - Head of Emerging Technologies, Liebherr Group, Austria

• Off-highway machines require continuous, secure updates
• Bosch middleware with cloud connectivity optimizes software management
• Software-defined machines: opportunities, challenges, and solutions for the off-highway industry
  Christian Astor, Senior Project Lead, ITK Engineering GmbH, Germany

• Define SDV Use Cases: Boost software re-use, on-demand services and integration of on/off-board services
• Design Cost-Optimized Platforms: Define effective SW & EE platforms
• Informed Design: Predefined architecture schemes for early, smart decisions
• Key Benefits: Speed up decisions, cut costs and enhance collaboration
  Jan-Philipp Hake, Global Solution Lead - Software & EE Platforms, FEV.io, Germany

• Simplify UIs: Standardize, reduce complexity and allow customization
• Prevent Overload: Improve ergonomics, data display and sustainability
• Fix Usability Issues: Enhance visibility, touchscreens and battery info
• Improve Training: Use AR, real-world scenarios and better manuals
  Nikhil P. Jadhav, Lead UX Designer, KPIT, India

• Safe person and object detection in outdoor environments with existing technology
• Consideration of cyber security requirements and AI
• Applicability of existing standards
• The new Machinery Regulation
  Benedikt Pulver, M. Sc., Head of the machine safety department, co-authors: Dipl.-Ing. Emanuel Deisler, Jan Nalivaika, all TÜV SÜD Product Service GmbH, Germany

• Increasing number of cyber attacks and regulations targeting off-highway machines
• The goal is to quickly detect, prioritize and respond to security events
• Connected, automated & driverless machines are prime targets for attackers
• Customer examples of our End-2-End approach to protect this ecosystem
  Georg Graupner, Managing Consultant and Teamlead Embedded Cybersecurity and Rene Bader, Senior Managing Consultant Embedded Cybersecurity, both NTT DATA, Germany

• Explore the evolving cybersecurity threats to off-highway vehicles
• Secure by Design & Secure by Default: Preparing for future risks
• Managing security risks throughout the entire vehicle lifecycle
  Gregor Knappik, Senior Solution Architect Cybersecurity, VicOne, Germany

Join industry experts discussing key developments, emerging challenges, and future opportunities in the field. Gain valuable insights and perspectives on the technologies and strategies shaping tomorrow.
Host: Josef Heißenhuber, Associated Partner, MHP, Germany

At the end of the first conference day we kindly invite you to use the relaxed and informal atmosphere for in-depth conversations with other participants and speakers.

• Introduction to 5G and 6G and their significance for off-highway machines
• Applications of 5G: Real-time data transmission, autonomous control and safety-critical communication
• Potential of 6G: Integration of AR/VR, AI-driven automation and cyber-physical systems
• Challenges & Outlook: Energy efficiency, security concerns and regulatory requirements
  Dr. Raimund Varnhagen, Head of Product Management Connectivity Commercial & Off-Highway Vehicles, Continental Automotive GmbH, Germany

• Applications of road construction machines
• Special features of operation
• Technical solutions for remote control
• Challenges and outlook
  Stephan Hammes, Head of Advanced Engineering, BOMAG GmbH, Germany

• Currently used optical perception systems are restricting autonomy due to limited resilience to environmental factors
• Radar systems, in particular imaging radar, will complement optical perception sensors
• Real life data demonstrates the improvement with imaging radar
  Michael Weigel, Global Business Manager Agriculture, Baumer Electric AG, Switzerland

• The primary driving forces behind machine automation across various industries are productivity, labor shortages and safety
• The challenge of autonomous commercial operation lies in developing a robust, reliable and safe machine perception
• A universal multi-industry Autonomy Platform is the foundation for a sustained scaleup of deployments and increased machine capabilities
  Dr. Stephan Matz, CEO/COO, driveblocks GmbH, Germany

• How to improve performance for large scale AI workloads
• Connect & optimize all your data
• Learn how organizations today are retooling their IT operations to embrace artificial intelligence (AI), machine learning (ML) and advanced analytics
  Dipl. Ing., Frank Kraemer, Technology Systems Architect, IBM, Germany

• AI-Enhanced Collaboration: How Generative AI can facilitate seamless, intuitive interaction between humans & machines to boost productivity
• Sustainability Through Optimized Operations: How AI can help us optimize for sustainability across off-highway applications
• Health & Safety: Natural machine interaction enhances operator well-being
  Joonas Koivuniemi, Co-founder & CEO, spogen.ai, Finland

• Integrating multi-sensor data for real-time environmental understanding using advanced algorithms
• Strategies for overcoming challenges using advanced middleware & development platforms
• Leveraging software reusability & adhering to industry safety standards for a clear path-to-production
• Combining simulations with real-world data to create realistic test scenarios
  Gautam Dobariya, Business Development Manager, Automated Driving and Software Solutions, dSPACE GmbH, Germany

• Simulation of the dynamics of physics for various terrain conditions
• Development time is reduced by testing early in the development life cycle
• Dependency on field testing is reduced irrespective of weather conditions
• Adverse conditions like snowfall & rain can be simulated in the virtual field
  Mohideen Farouk, Trucks & Off-Highway / Director, co-author: Manoj Deodhar, L&T Technology Services, Germany/India