Augmented Urban Space Modeling Laboratory
Advancing urban modeling through innovative research, collaboration, and cutting-edge technology.
Mission Statement
Our mission is to advance the frontiers of urban science and technology through innovative research in artificial intelligence, computer vision, and smart city applications. We are dedicated to developing cutting-edge solutions that enhance urban living and environmental sustainability.
Core Research Areas
Urban Intelligence
- Smart Cities development and integration
- Urban Planning and optimization
- Indoor Localization and Navigation systems
Computer Vision & SLAM
- Simultaneous Localization and Mapping (SLAM)
- Advanced Computer Vision applications
- Environmental monitoring and Tree classification
Artificial Intelligence
- Deep Learning for urban applications
- AI-powered decision support systems
- Machine Learning for environmental analysis
Innovation & Collaboration
- Cross-disciplinary research initiatives
- Industry and academic partnerships
- Open-source technology development
Through our research, we aim to create intelligent solutions that address real-world urban challenges, promote environmental sustainability, and improve the quality of life in cities. Our work combines theoretical advancement with practical applications, ensuring that our innovations have meaningful impact in the real world.