INTENTION – Integrating Cyclists Safely into the Mobility of the Future
At FDTech, we are excited to be part of the new research project INTENTION. Together with our partners – ENVISIBLE GmbH, IWP - Institute for Machine Tools and Production Processes, SGT - Chair of Sports Equipment Technology, and Aw&I - Chair of Work Science and Innovation Management at TU Chemnitz – we are working on an innovative solution to enhance road safety in urban mobility.
Our Goal at FDTech is to develop AI models for precise, data-driven trajectory calculations for autonomous vehicles in urban areas.
Enhancing existing AI models to integrate cyclists as dynamic and highly variable traffic participants into planning processes.
Cyclists and autonomous vehicles interact daily in urban environments. To ensure safety, we are developing a method that: Considers the behavior of different types of cyclists and bicycles. Detects their intentions using imaging sensors. Integrates this information into the trajectory planning of autonomous vehicles.
Our approach is to build a robust data foundation through simulations, driving simulators, and naturalistic studies of both cycling and driving behavior. Identifying and classifying factors that influence cyclist behavior.
Incorporating these insights into AI models to develop an intelligent and safe driver assistance system.
Why This Matters? Cycling plays a key role in urban mobility. By integrating the dynamic and situational behavior of cyclists into the algorithms of autonomous vehicles, we contribute to road safety and the acceptance of innovative technologies.
This project is funded by the Sächsische Aufbaubank and runs from October 2024 to September 2027. We are proud to shape this project and contribute to a safer and more sustainable future of mobility.
Learning from Each Other: FDTech at "tech & trends // KI kompakt" in Chemnitz
INTENTION in Motion: How Autonomous Vehicles Learn to Anticipate Cyclists
