@inproceedings{63068, abstract = {{The Nalyses research project, which will be completed in 2025, is being conducted by partners FORVIA HELLA, BMW, Fraunhofer IEM, Heinz Nixdorf Institute, Hamm-Lippstadt University of Applied Sciences, Geba, and the associated partner Miele. The aim of the project is to investigate the influencing factors for a circular economy in the field of automotive lighting using the example of a headlamp. A key aspect is the analysis of methods for recycling end of life headlamps to recover materials for the next generation of headlamps and to evaluate their reusability. The article presents investigations and methods for recovering materials from used headlamps. These methods are evaluated based on how effectively they can recover materials for the next generation of headlamps and to what extent these materials can be reused. The goal was to identify the best practices that are both ecologically and economically sustainable. To support the development of a headlamp, a digital twin was created, which enables a detailed life cycle analysis at any time. This digital twin ensures that the expected CO2 footprint of the product can be analysed over its product life cycle during development to ensure optimal use and recycling of materials. This ensures a precise assessment of the environmental impact of future products. The final demonstrator of the project, developed based on the findings of the two points mentioned above and OEM requirements, presents the third key point of the research project: the design of a new product to enable a circular economy in the field of automotive lighting. The headlamp is designed to use circular economy recyclates and to serve as a material source at the end of its life. This represents an important step for automotive lighting towards a circular economy, where products and materials are used and reused for as long as possible.}}, author = {{Schmidt, Christian and Niedling, Mathias and Helmig, Jan and Forbes, Steffen and Jardin, Janis and Stieren, Stephan and Fittkau, Niklas and Peitzmeier, Henning}}, booktitle = {{Proceedings of the 16th International Symposium on Automotive Lighting 2025}}, location = {{Darmstadt}}, title = {{{Circular economy approaches in automotive lighting – insights from the Nalyses project}}}, doi = {{10.26083/tuprints-00030841}}, year = {{2025}}, } @inproceedings{61427, abstract = {{The carbon footprint of modern vehicles and their mechatronic systems is more important than ever. Research by the publicly funded Nalyses project and the HELLA company shows that the headlamps use phase makes a significant contribution to the life cycle footprint taking into account the current electricity mix [1]. Today, functionalities such as adaptive curve light or glare-free high beam ensure comfort and safety by assessing the state of the vehicle and evaluating the driving scenario ahead. In future, this evaluation will be expanded and used to adapt the headlamp to the driving scenario in such a way that as little light as possible is emitted, but as much light as necessary. In order to achieve this goal, an overall evaluation of the regulatory compliant energy saving potential is crucial in a first step and leads to constraints for a dynamic adaption while driving. In this paper, the potential is illustrated by evaluating UNECE Regulation No. 149 and optimizing luminous intensity distributions. Depending on the different resolutions of matrix LED headlamps, this approach can result in a significantly lower luminous flux. On the other hand, the results are point-like distributions that raise the question of whether the regulation still provides for sensible minimum requirements for modern matrix LED headlamps. The results are further presented in a simulated virtual environment with regard to the resulting luminance in different driving scenarios. We then present an approach to integrate regulatory requirements into a control algorithm by setting optimization constraints and saturating the control. Finally, we classify the found luminous intensity distributions qualitatively according to common lighting criteria. In summary, although the investigated minimum distributions are by no means desirable for drivers themselves, they form the basis on which energy-saving distributions for illuminated areas and twilight scenarios could be adaptively controlled in the future.}}, author = {{Fittkau, Niklas and Bußemas, Leon and Malena, Kevin and Gausemeier, Sandra and Trächtler, Ansgar}}, booktitle = {{Proceedings of the 16th International Symposium on Automotive Lighting 2025}}, location = {{Darmstadt}}, title = {{{Regulatory-compliant energy-saving potential for the passing beam of matrix LED headlamps}}}, doi = {{10.26083/tuprints-00030840}}, year = {{2025}}, } @inproceedings{53106, author = {{Bußemas, Leon and Fittkau, Niklas and Gausemeier, Sandra and Trächtler, Ansgar and Rüddenklau, Nico}}, booktitle = {{VDI Mechatroniktagung Dresden 2024}}, location = {{Dresden}}, pages = {{29--34}}, publisher = {{Technische Universität Dresden}}, title = {{{LiDAR-Sensormodell basierend auf zeitabhängigem Photon Mapping}}}, year = {{2024}}, } @inproceedings{42238, author = {{Junker, Annika and Fittkau, Niklas and Timmermann, Julia and Trächtler, Ansgar}}, booktitle = {{2022 Sixth IEEE International Conference on Robotic Computing (IRC)}}, location = {{Naples, Italy}}, publisher = {{IEEE}}, title = {{{Autonomous Golf Putting with Data-Driven and Physics-Based Methods}}}, doi = {{10.1109/irc55401.2022.00031}}, year = {{2023}}, } @inproceedings{34011, author = {{Junker, Annika and Fittkau, Niklas and Timmermann, Julia and Trächtler, Ansgar}}, booktitle = {{Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022}}, location = {{Berlin, Germany}}, pages = {{119--124}}, title = {{{Autonomes Putten mittels datengetriebener und physikbasierter Methoden}}}, doi = {{10.5445/KSP/1000151141}}, year = {{2022}}, }