Workshop on
Data-Driven and AI-Empowered Future of
Low-Altitude Economy (DALAE 2025)

Workshop Topics

In recent years, the low-altitude economy — covering airspace typically below 1000 meters (extendable to 3000 meters in certain scenarios) — has rapidly emerged as a vital economic pillar. This domain is transforming with the integration of both traditional manned aircraft and a growing fleet of unmanned aerial systems, enabling innovative applications in logistics, transportation, urban management, environmental monitoring, and more.

However, this growth poses significant technical challenges: the exponential volume of flight trajectories, multi-source sensor data, and high-resolution imagery demands scalable data management and intelligent informatics. Meanwhile, the increasingly complex air traffic in low-altitude airspace requires advanced, long-term solutions for intelligent airspace management, real-time decision-making, and sustainable service delivery.

Artificial intelligence, combined with data-driven methods, is key to unlocking the full potential of the low-altitude economy. For example, advanced machine learning can optimize autonomous flight control, while deep learning can empower object recognition and scene understanding in aerial imagery. Therefore, this workshop aims to bring together researchers, practitioners, and industry leaders from the fields of data management, artificial intelligence, unmanned aerial systems, traffic informatics, and smart cities to explore long-term, future-proof solutions for the data-driven and AI-empowered evolution of the low-altitude economy.

Topics of Interest include but are not limited to:

1. Data Management for Low-Altitude Airspace
  • Scalable data storage and retrieval architectures for manned and unmanned aerial operations
  • Efficient indexing and querying of spatio-temporal data such as flight trajectories and location-based sensor streams
  • Data quality assurance and cleaning methods for heterogeneous aerial data
  • Long-term data security and privacy protection frameworks for connected low-altitude operations
2. Intelligent Informatics and Air Traffic Management
  • Integrated informatics platforms combining aircraft data, ground sensors, and weather information
  • Dynamic flight path planning and optimization under congestion, weather, and safety constraints
  • Business intelligence and analytics for low-altitude economic activities
  • Spatio-temporal data analysis for air traffic monitoring and prediction
3. AI-Driven Aerial Operations
  • Machine learning for autonomous flight control in complex low-altitude environments
  • Deep learning-based object recognition and scene understanding for aerial imagery
  • Cooperative and seamless integration of manned and unmanned aircraft
  • Predictive maintenance and performance optimization models for aerial vehicles
4. Sustainable and Green Applications
  • Low-carbon aerial logistics and transportation solutions
  • Precision agriculture enabled by data-driven and AI-supported aerial vehicles
  • Real-time environmental monitoring, urban traffic analysis, and disaster response
  • Smart city solutions leveraging aerial data for sustainable development
5. Air-Ground Integrated Systems
  • Coordinated data sharing and interoperability between aerial platforms and ground-based systems
  • Ground support systems for traffic control, emergency response, and fleet management
  • Real-time air-ground collaborative decision-making frameworks
  • Cybersecurity and resilience strategies for integrated air-ground infrastructures
6. Future Low-Altitude Integration and Governance
  • Technologies for safe and efficient integration of diverse aerial vehicles
  • Communication protocols, collision avoidance, and cooperative navigation systems
  • Data- and AI-informed regulatory and policy frameworks
  • Emerging technologies such as blockchain, edge computing, and 5G/6G networks in low-altitude operations