Logistics Revolution 2025: Artificial Intelligence Identifies Strategic Shipping Hubs
Nicole Lubecki-Weschke will take centre stage at the expert forum "Motivation for drivers - reducing turnover, increasing motivation, inspiring young talent" at Transport Logistic 2025 on Thursday, June 5, 2025, from 3 to 4 pm in Forum A3.240. However, the spotlight will also be on Fraunhofer Institute for Integrated Circuits IIS, as they present their cutting-edge advancements in AI-based localization technologies for logistics.
Fraunhofer IIS is leading the charge in AI-powered localization systems, particularly in environments where traditional GPS signals are weak or unavailable. One of their recent developments includes collaboration in projects like the ESA-funded GOOSE-VTL, where they helped create a software-defined receiver (SDR) that ensures robust, accurate, and resilient autonomous positioning in GNSS-challenged urban settings. This innovation leverages AI and sensor fusion technology to provide reliable localization necessary for logistics and autonomous systems.
The institute's approach to AI-based localization involves sensor fusion algorithms combined with AI, enabling high-performance positioning without dependence on traditional satellite navigation alone. Fraunhofer IIS is also part of broader initiatives testing navigation systems integrated with logistics concepts, such as virtual test environments for automation and assistance systems in navigation, which could enhance logistics by improving the control and regulation of inland waterway vessels and related operations.
In addition to their work on AI-based localization, Fraunhofer IIS is investigating AI methods for evaluating and prioritizing logistics locations, as part of the ongoing research project "Insight". They are also exploring the use of artificial intelligence in identifying, analyzing, and evaluating logistic infrastructures, as demonstrated by the "Granergize" project, which focuses on a graph-based data space for energy-efficient logistics real estate.
Meanwhile, the new version of the "L.Immo online" platform, updated using an AI-assisted image recognition method, aims to comprehensively and accurately map logistic locations. This platform has been providing comprehensive location data and market analyses for the logistics real estate industry for eight years.
While Nicole Lubecki-Weschke's lecture will take place at Hall B1, Stand 501 / 602, it is not directly related to the new version of the "L.Immo online" platform. The lecture will focus on work-related stress factors and motivating elements in the daily work of drivers in local transport, a topic not previously mentioned in the provided bullet points.
The continuous observation of the economic and industry-specific environment is part of the research conducted by Fraunhofer IIS. However, their work does not involve machine learning, automated image recognition, knowledge graphs, or large language models used for location analyses to make logistics structures and industry interconnections transparent. These methods are used in the risk management of global supply chains and for developing strategies to identify risks and increase the resilience of supply chains, but they are not directly related to the event.
In summary, Fraunhofer IIS's current work on AI-based localization in logistics focuses on developing AI-powered sensor fusion systems to improve positioning accuracy in GPS-compromised environments, collaborating on software-defined GNSS receivers for next-generation autonomous logistics solutions, integrating these technologies into digital test fields and virtual environments for enhancing logistics and fleet management systems, and supporting indoor and outdoor geolocation through technology-agnostic solutions that use available sensor data smartly, relevant for logistics structures in smart cities or complex facilities. These developments represent a cutting-edge combination of AI, GNSS augmentation, and sensor fusion aimed at optimizing logistics operations through more reliable localization techniques.
- Fraunhofer IIS, leading in AI-powered localization systems, is also investigating AI methods for evaluating and prioritizing logistics locations.
- Beyond their work on AI-based localization, Fraunhofer IIS is exploring the use of artificial intelligence in identifying, analyzing, and evaluating logistic infrastructures.
- The new version of the "L.Immo online" platform, updated using an AI-assisted image recognition method, aims to comprehensively map logistic locations, a task that is not directly related to Nicole Lubecki-Weschke's lecture focusing on work-related stress factors and motivating elements in local transport.
