Pervasive Artificial Intelligence Research (PAIR) Labs

Drones and Computer Vision

Pervasive Artificial Intelligence Research (PAIR) Labs

Drones and Computer Vision

NCCU – Professor Jyi-Shane Liu

Principal Investigator: Professor Jyi-Shane Liu

Research：

Advancing Drone Intelligence: Core Technology Development and Contextual Applications
(PI:Jyi-Shane Liu / Co-PI: Tsai-Yen Li, Wen-Hung Liao, Ming-De Chi)

Core Technologies

An autonomous intelligent drone technology, in which three functional components – computer vision, path planning, decision-making and behavior control, are developed and integrated as a self-contained system. The end-product is a software system that eqiups a brain to a drone for completly automated flight control. A visualized human-computer interface module is also developed to provide ground control station for mission management.

Applications

Building exterior wall inspection, River bank/coastal line inspection, Power line inspection, Site/roof top inspection, Delivery.

Technology Transfer

1. A visual-servo loop of image analysis and behavior control
2. Image analytic techniques for drone images
3. A decision-making and behavior control mechanism
4. An accurate line-following algorithm
5. An image-scanning mechanism for vertical surface
6. A road-following mechanism

Technologies with Potential for Technology Transfer or Industry-Academia Collaboration

1. System integration mechanisms and techniques
2. Extension of mission application domains, such as power tower inspection, bridge column/structure inspection, etc.

Proposal for Industry-Academia Collaboration

1. Collaborate with drone harware maufacturers to advance intelligence level of their drone products and develop a full range capabilities of hardware, software, and service
2. Collaborate with application domain operators to develop drone mission capability with real-world market values