Pervasive Artificial Intelligence Research (PAIR) Labs

Drones and Computer Vision

Pervasive Artificial Intelligence Research (PAIR) Labs

Drones and Computer Vision

NCTU – Professor Li-Chun Wang

Principal Investigator: Prof. Li-Chun Wang

Research :

Intelligent Communications and Networking Technologies for Drone-Cells

Core Technologies

With the goal of communication innovation and application services, this project uses artificial intelligence to develop “Intelligent ANGEL base stations,” which can quickly establish a 3D UAV communication network with long-term hovering capabilities and self-optimization capabilities based on the dynamic demands of ground users. Including the following two key technologies:
1. 3D+R+V AI Data Analysis
– High-precision crowd estimation
– Dynamic crowd tracking
– Differentiated taget recognition

2. 3D+R+Edge AI-UAV communication, control, and computing platform
– Rapid reconstruction of radio signal map
– Software defined radio long-distance and adaptive commincation platform
– Design of long-hovering UAVs
– Multi-UAV commmunication network management

Applications

Innovative communication application scenarios and corresponding key technologies
1. Intelligent mobile communication platform for disaster relief and rescue (disaster area communication network reconstruction, rescue operations in a disaster area)
– High-precision crowd estimation
– Dynamic crowd tracking
– Rapid reconstruction of radio signal map
– Software defined radio long-distance and adaptive commincation platform
– Design of long-hovering UAVs
– Multi-UAV commmunication network management

2. Human-centric UAV-assisted cellular communications services (communication services for dynamic distributed crowds, adaptive coverage area extension, dynamic drone base station deployment)
– High-precision crowd estimation
– Dynamic crowd tracking
– Differentiated taget recognition
– Rapid reconstruction of radio signal map
– Software defined radio long-distance and adaptive commincation platform
– Design of long-hovering UAVs
– Multi-UAV commmunication network management

Technology Transfer

Crowd estimation based on the fusion of radio signals and computer vision for UAV networks
Rapid reconstruction of radio signal map for UAV networks
Software defined radio long-distance and adaptive commincation platform for UAV networks
Multi-UAV commmunication network management

Technologies with Potential for Technology Transfer or Industry-Academia Collaboration

Design of long-hovering UAVs
User group tracking and target recognition for UAV networks

Proposal for Industry-Academia Collaboration

1. The business model of big-data sharing: 3D+R+V AI data analysis
2. 5G vertical applications + Innovative AI drone services: lightweight R3D intelligent communication and computing platform