Pervasive Artificial Intelligence Research (PAIR) Labs
Advancing Drone Intelligence: Core Technology Development and Contextual Applications
Pervasive Artificial Intelligence Research (PAIR) Labs
Drones and computer vision Team
Our research aims to develop an autonomous intelligent control system for drones and to advance artificial intelligence components for the drone industry…
Professor Jyi-Shane Liu
Research Interests：Artificial Intelligence, Robotics, Digital Humanities, Social Network Analysis, Digital Library, Production Automation
Development of AI platform of Smart Drone ─ Intelligent Fight Control
The objective of the research is to develop an autonomous flight control system for drones, or unmanned aerial vehicle (UAV). We have developed and tested the control system over a computer simulator and physical drones…
Professor Jen-Hui Chuang
Research Interests：Signal and Image Processing, Computer Vision, Pattern Recognition, Industrial Inspection
Intelligent Agricultural Cultivation Support System Integrating UAV Surveillance
This research project aims to establish an intelligent agricultural cultivation support system, by integrating unmanned aerial vehicle (UAV) surveillance and artificial intelligent (AI) analytical techniques…
Professor Ming-Der Yang
Research Interests：Civil and Hydraulic, Hazard Mitigation Engineering, GIS
Intelligent Communications and Networking Technologies for Drone-Cells
Our project proposes an “Artificial Intelligence (AI) Drone-Cruiser” base station for helping 5G mobile communication systems rapidly recover the network after the disaster and…
Professor Li-Chun Wang
Research Interests：Wireless Communications, Mobile Networks, Green Radio, Cloud Computing
Video Compression based on Generative Model
The deep learning schemes recently developed provide a new direction for constructing a high-efficiency compression image/video coding system…
Professor Wen-Hsiao Peng
Research Interests：
- ITU-T/MPEG video coding standards (e.g. HEVC/H.265, Screen Content coding, 360 Video)
- Machine learning for video understanding (e.g. visual question answering)
- Multi-modality data fusion for data analytics
- Graph computing and mining
