Auflistung nach Autor:in "Richter, Kai-Florian"
1 - 10 von 12
Treffer pro Seite
Sortieroptionen
- ZeitschriftenartikelCurrent topics and challenges in geoAI(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, SimonTaken literally, geoAI is the use of Artificial Intelligence methods and techniques in solving geo-spatial problems. Similar to AI more generally, geoAI has seen an influx of new (big) data sources and advanced machine learning techniques, but also a shift in the kind of problems under investigation. In this article, we highlight some of these changes and identify current topics and challenges in geoAI.
- ZeitschriftenartikelCurrent topics and challenges in geoAI(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, SimonTaken literally, geoAI is the use of Artificial Intelligence methods and techniques in solving geo-spatial problems. Similar to AI more generally, geoAI has seen an influx of new (big) data sources and advanced machine learning techniques, but also a shift in the kind of problems under investigation. In this article, we highlight some of these changes and identify current topics and challenges in geoAI.
- ZeitschriftenartikelEye of the Beholder(KI - Künstliche Intelligenz: Vol. 38, No. 0, 2024) Richter, Kai-Florian
- ZeitschriftenartikelGeoAI(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian
- ZeitschriftenartikelGeoAI(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian
- ZeitschriftenartikelGeoAI and Beyond(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian; Janowicz, Krzysztof
- ZeitschriftenartikelGeoAI and Beyond(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian; Janowicz, Krzysztof
- ZeitschriftenartikelGeoAI as Collaborative Effort(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, Simon; Tuia, Devis
- ZeitschriftenartikelGeoAI as Collaborative Effort(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, Simon; Tuia, Devis
- ZeitschriftenartikelIdentifying Landmark Candidates Beyond Toy Examples(KI - Künstliche Intelligenz: Vol. 31, No. 2, 2017) Richter, Kai-FlorianIncorporating references to landmarks in navigation systems requires having data on potential landmarks in the first place. While there have been many approaches in the scientific literature for identifying landmark candidates, these have hardly been picked up in actual, running systems. One major obstacle for this to happen may be that most—if not all—approaches presented so far are not scalable due to their underlying data requirements. In this paper, I will critically discuss existing approaches in light of their scalability. I will then suggest a way forward to more scalable solutions by combining in a smart way aspects of different approaches.