Skip to main content Skip to main navigation

Fields of Application

Mobility

Artificial intelligence is the key technology for mobility concepts of the future. Tomorrow's mobility will be characterized by vehicles and infrastructure with ever higher levels of automation and networking, as well as learning systems that increase traffic safety and optimize traffic flows. Context-sensitive, multimodal interfaces and intelligent sensor systems for interaction between vehicles and their occupants or with the environment, as well as communication, control and analysis systems for elementary data flows and their safety, are just as important for this.

Projects

Page 4 of 10.

  1. Ageing Smart - Ageing Smart - Räume intelligent gestalten

    The interdisciplinary research project Ageing Smart - Designing Spaces Intelligently at the TU Kaiserslautern addresses the "baby boomer" generation born between 1955 and 1969. As they gradually enter…

  2. NoStrandAMust - NoStrandAMust - Bodenkontaktsimulation zur Verbesserung der Lokomotionsperformance mobiler Roboter

    NoStrandAMust is a project with the goal of experimentally investigating the ground interaction of different robots and generating models for the interaction using AI methods. These models are to be…

  3. INTE:GRATE - Intelligent Green Mobility in Saarland

    In rural areas, mobility is often highly individualized (e.g., private cars), leading to a range of challenges, including increased traffic density, environmental impacts, and limited mobility for the…

  4. AW4.0 - Autowerkstatt4.0

    In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy data exchange of industry-specific AI models and…

  5. GAIA-X 4 ROMS - GAIA-X 4 ROMS - Support und Remote-Operation automatisierter und vernetzter Mobility Services

    Neue Mobilitätslösungen sollen den Transport von Personen und Gütern auch unter Klimaschutz-Aspekten sichern. Ansätze liegen hier neben der Dekarbonisierung in der Stärkung des öffentlichen Verkehrs…

  6. ENGAGE - NExt GeNeration ComputinG Environments for Artificial intelliGEnce

    ENGAGE is a project within the framework of the strategic research and innovation agenda of DFKI and Inria in the field of artificial intelligence. Advances in machine learning algorithms and hardware…

  7. KIMonoS - KI-gestützte Mobility-On-Demand-Plattform im Saarland

    Das Ziel des Projektes KIMonoS ist es, eine Mobility-on-Demand-Plattformlösung auf Basis Künstlicher Intelligenz (KI) zu entwickeln und prototypisch auf kommunaler Ebene im Saarland zu erproben. Damit…

  8. ROMATRIS / ROMATRIS - Robotic Material Transport in Damage Situations

    The aim of the project is to design and develop a partially automated, mobile assistance robot to support material transport through impassable terrain. The main areas of application are rescue…

  9. DECODE - Continual learning for visual and multi-modal encoding of human surrounding and behavior

    Machine Learning, and in particular Artificial Intelligence (AI) in Deep Learning, has revolutionized Computer Vision in almost all areas. These include topics such as motion estimation, object…

  10. Open6GHub - 6G for Society and Sustainability

    The project "Open6GHub" develops a 6G vision for sovereign citizens in a hyper-connected world from 2030. The aim of the Open6GHub is to provide contributions to a global 6G harmonization process and…