Micro AI-For-Mobility – Research Platform for AI-Based Control Methods
The AI for Micro Mobility (μAFM) is the new research platform for investigation of novel active and passive electronic bicycle assistance control methods within the Department of Vehicle System Dynamics at the German Aerospace Center (DLR). Autonomous driving and artificial intelligence offer completely new possibilities for control systems. However, no studies have yet investigated the holistic approach, from the perception sensors to the control algorithms, with the aim of protecting vulnerable road users, particularly in the context of bicycles. The objective of our research is to contribute to this field of study. To this end, we equipped a production electric serial hybrid power train bicycle with a set of state-of-the-art sensors and computational hardware. The hardware and software integration of the various sensors as well as the network architecture is presented. Paving the path for further research in this field. Concluding, two real-word experiments are conducted to validate and investigate the performance of the setup for further control algorithms studies.
Authors
- Jonathan Brembeck (ORCID: https://orcid.org/0000-0002-7671-5251)
- Daniel Baumgartner (ORCID: https://orcid.org/0000-0001-5411-022X)
- Daniel Pölzleitner (ORCID: https://orcid.org/0009-0004-1873-3162)
- Daniel Diegel
Institutions
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Publication Details
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1109/vtc2024-fall63153.2024.10757935
- Primary Topic
- Transportation and Mobility Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00