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Twin attribution and feature extraction using high resolution remote sensing (Images, LiDAR).
Development of digital twins.
Twin applications for urban planning.
Geospatial Data Extraction and Attribution
The vertical focuses on extracting valuable information from diverse (2D and 3D) geospatial data sources using supervised, semi, and self-supervised models. The information is used for atribution of 2D/3D maps.
Sensor inputs: LiDAR, UAV and Satellite, Sound, Street View Images.
We also extensively generation and utilize synthetic remotely sensed data using AI.
Development of 3D Digital Twins
This vertical focuses on developing accurate 3D representations. We develop realistic and dynamic 3D digital twins integrated with attributs of urban environments through:
Deep Learning on 3D representations (Point clouds, Meshes, Depth maps, etc.) for accurate 3D data generation. This also includes conversion among various representations.
Synthetic 3D representation generation using multimodal data sources.
Automatization of large-scale outdoor 3D maps.
Digital Twin Applications for Urban Planning
This vertical focuses on utilizing developed digital twin with to address critical urban challenges such as:
Spatial analysis and modeling.
Infrastructure planning.
Landuse planning.
Developing smart and sustainable cities.
Available Infrastructure
2D and 3D Sensors
GPU based servers
Edge Devices and Sensors
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