AI for Safe Autonomous Driving
Discover Exciting Research and Development Areas in the Projects of the KI Familie
AI for Safe Autonomous Driving
Discover exciting research and development areas in the projects of the KI Familie
Collaboration in Artificial Intelligence
Traditional automotive questions are being redefined in the context of Artificial Intelligence (AI). Expertise in AI and its safe, responsible use in modern vehicles will determine future leadership in mobility markets.
The pre-competitive research projects with an AI focus, developed by the VDA Leitinitiative for autonomous and connected driving, are part of the KI Familie. These related projects complement each other in content, are interconnected, and transfer knowledge and insights.
Focusing on data and safety, the projects address technological challenges and target the particularly crucial research and development areas for competitiveness in the use of AI for autonomous and connected driving. This creates comprehensive AI expertise across the entire spectrum of automotive applications.
Funded by the Federal Ministry for Economic Affairs and Energy, more than 80 partners from academia and industry are involved in the projects.
Chronology of the KI Familie
1 July 2019 – 30 June 2022
1 January 2020 – 30 April 2023
1 April 2020 – 31 December 2023
1 January 2021 – 31 March 2024
1 July 2023 – 30 June 2026
1 January 2024 – 31 December 2026
1 March 2025 – 28 February 2028
Chronology of the KI Familie
1 July 2019 –
30 June 2022
1 January 2020 –
30 April 2023
1 April 2020 –
31 December 2023
1 January 2021 –
31 March 2024
1 July 2023 –
30 June 2026
1 January 2024 –
31 December 2026
1 March 2025 –
28 February 2028
Facts and Figures
Partners
82
Budget
210 Million Euro
Number of Projects
7
Funding
120 Million Euro
Current Projects of the KI Familie
The safe and responsible use of AI is essential for shaping the future of mobility. The current KI-projects just better DATA, nxtAIM, and Safe AI Engineering represent the second generation of the KI Familie and set benchmarks in data generation, safety, and practical applicability of AI systems.
Learn more about the key research topics in the current KI Familie projects — including a Smart Data Loop and high-quality datasets (just better DATA), generative AI and foundation models (nxtAIM), and structured safety argumentation (Safe AI Engineering).
Explore content, videos, e-booklets, and in-depth scientific questions in white papers and technical publications.
Safe AI Engineering
Safety argumentation for AI functions over the entire life cycle
Safe AI Engineering
Safety argumentation for AI functions over the entire life cycle
nxtAIM
Generative methods for perception, prediction and planning
nxtAIM
Generative methods for perception, prediction and planning
just better DATA
Efficient and highly accurate data generation for
AI applications in the field of autonomous driving
just better DATA
Efficient and highly accurate data generation for AI applications in the field of autonomous driving
First Generation Projects of the KI Familie
The completed projects KI Absicherung, KI Delta Learning, KI Data Tooling, and KI Wissen laid essential technological foundations for the use of AI in automated driving and provided important impulses for the safe, scalable, and explainable use of AI in mobility.
The focus was on methods and measures for securing AI-based perception functions, expanding and adapting existing AI modules to new application areas and complex scenarios, efficient generation of training, validation, and safety data, and developing methods for integrating knowledge into machine learning.
KI Wissen
Development of methods for integrating knowledge into machine learning
KI Wissen
Development of methods for integrating knowledge into machine learning
KI Data Tooling
Methods and tools for generating and preparing training, validation and safeguarding data for AI functions in autonomous vehicles
KI Data Tooling
Methods and tools for generating and preparing training, validation and safeguarding data for AI functions in autonomous vehicles
KI Delta Learning
Development of methods and tools for the efficient expansion and transformation of existing AI modules of autonomous vehicles to new domains
KI Delta Learning
Development of methods and tools for the efficient expansion and transformation of existing AI modules of autonomous vehicles to new domains
KI Absicherung
Development and investigation of methods and measures to safeguard AI-based perception functions for automated driving
KI Absicherung
Development and investigation of methods and measures to safeguard AI-based perception functions for automated driving
