Geospatial-AI

The problem of 3D spatial perception involves the real-time construction and maintenance of a comprehensive and actionable representation of the environment using sensor data and prior knowledge.

This project aims to explore using monocular cameras in the real-time construction of 3D scene graphs in outdoor applications.

Drones are increasingly used to create 2D and 3D maps to support monitoring and emergency scenarios.

Unmanned Aerial Vehicles (UAVs) are powerful flexible monitoring devices, and their data is increasingly used to train deep

Unmanned Aerial Vehicles (UAVs) are increasingly used within an Internet of Things (IoT) network where the UAV can communica

While Graph-SLAM techniques have significantly contributed to mobile mapping advancements in indoor and urban environments, there remains a need to improve the quality of data gen

Simultaneous Localization and Mapping (SLAM) techniques are critical for mobile mapping in indoor and urban environments.

Simultaneous Localization and Mapping (SLAM) techniques, especially graph-SLAM techniques, can be used for mobile mapping.

Brazil is the biggest coffee productors in the world, with millions of hectares of plantations.

Mapping and monitoring slums is essential to ensure the sustainable development of the cities to ensure a quality of life for people.