ACQUAL

Urban slum is often vulnerable to environmental changes such as subsidence, as it has densely populated informal settlements

Neural Radiance Field (NeRF) stands as a category of neural networks adept at represent and render realistic 3D scenes environments using a set of 2D images.

Unmanned Aerial Vehicles (UAVs) have found significant applications in road monitoring, offering a versatile and efficient solution for infrastructure assessment and

The fusion of UAV-based and satellite-based data has emerged as a powerful approach for plant health monitoring in agriculture.

Utilities form the essential infrastructure of a contemporary society, fulfilling fundamental requirements for both residents and industries.

Simultaneous Localization and Mapping (SLAM) has been foundational for autonomous systems, with GraphSLAM being a prominent variant that optimizes mapping as a graph-based optimization

Calibration of multi-sensor systems is a pivotal step in ensuring the accuracy and reliability of data derived from these sensors.

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.