12-16, 15:00–15:15 (Asia/Bangkok), Auditorium Hall 1
The range of AI applications in the geospatial information field is diverse, object detection, area extraction, change detection, and super-resolution. In our industry, we collectively refer to these technologies as GeoAI.
However, these technologies remain primarily confined to specialized groups, making it difficult to consider them as universal technologies ready for everyday use.
In light of this, we sought to explore areas that could be easily accessible to the general public. Consequently, we developed 'magoGPT', a application enabling users to manipulate maps and interact with 3D objects using natural language in a digital twin environment.
Based on a 3D FOSS architecture composed of CesiumJS, it uses 3DTiles buildings, Terrain from high-resolution DEMs, and multiple layers visualisation. It is also related to artificial intelligence techniques such as Large Language Models (LLM), Speech-to-Text (STT), and Natural Language Processing (NLP).
In this presentation, we'd like to introduce magoGPT, the technology behind it, and the development process.
This work was supported by KOFPI(Korea Forestry Promotion Institute) through "Development of Integrated Decision Supporting System for Managing Forest Fires based a Digital platform using Artificial Intelligence" Program(or Project), funded by Korea Forest Service (grant number: RS-2024-00402509/2400000028)
