Please note that ELSA no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
4 Publikationen
2025 | Konferenzband - Beitrag | ELSA-ID: 14036
Aykin, Yusuf, Hans Sachs, and Nikolai Gerzen. Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction. Edited by Jiansong Zhang, Qian Chen, Gaang Lee, Vicente A. Gonzalez, Vineet Kamat, International Association for Automation and Robotics in Construction, and nternational Symposium on Automation and Robotics in Construction. Proceedings of the 42th International Symposium on Automation and Robotics in Construction : Montreal, Canada, July 28-31, 2025. International Association for Automation and Robotics in Construction (IAARC), 2025. https://doi.org/10.22260/isarc2025/0026.
ELSA
| DOI
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12167
Subramanian, Ramakrishnan, and Ulrich Büker. “Study of Contactless Computer Vision-Based Road Condition Estimation Methods Within the Framework of an Operational Design Domain Monitoring System.” Eng : Advances in Engineering 5, no. 4 (2024): 2778–2804. https://doi.org/10.3390/eng5040145.
ELSA
| DOI
2024 | Konferenzband - Beitrag | ELSA-ID: 13003 |
Licht, Mareile, Amanda Barbosa Jardim, Maximilian Müh, and Axel Häusler. The Use of Situated Visualized Data to Nudge Visitor’s Paths: A Case Study at the Detmold Design Week 2023. Edited by Manfred Schrenk, Tatiana Popovich, Peter Zeile, Pietro Elisei, Clemens Beyer, Judith Ryser, and Hans Rüdiger Kaufmann. Keep on Planning for the Real World. Climate Change Calls for Nature-Based Solutions and Smart Technologies : Proceedings of REAL CORP 2024, 29th International Conference on Urban Development, Regional Planning and Information Society . Proceedings of International Conference on Urban Development, Regional Planning and Information Society . Mannswörth: CORP - Competence Center of Urban and Regional Planning , 2024. https://doi.org/10.48494/REALCORP2024.9052.
ELSA
| DOI
| Download (ext.)
2020 | Konferenz - Beitrag | ELSA-ID: 4094 |
Büttner, Sebastian, Andreas Peda, Mario Heinz, and Carsten Röcker. “Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users.” In 22nd International Conference on Human-Computer Interaction, 12203:153–63. Lecture Notes in Computer Science. Berlin: Springer, 2020. https://doi.org/10.1007/978-3-030-50344-4_12.
ELSA
| DOI
| Download (ext.)