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PhD Students

Ir H.W. Ho

  • Bio-inspired vision for Micro Air Vehicles

Biography

PhD candidate, working at Department of Control & Simulation, Faculty of Aerospace Engineering at Delft University of Technology. I am currently focusing on the use of computer vision to make the Unmanned Aerial Vehicle more intelligent and autonomous.

Expertise

Flight Control, Computer Vision, Unmanned Aerial Vehicle, Artificial Intelligent

Awards

  • Best Graduate Student Paper Award, CEAS EuroGNC in 2013
  • USM Gold Medal Award for the Best Final Year Student in Aerospace Engineering in 2009

Project

Intelligent Vision-based Landing System of UAV
The capability of Unmanned Aerial Vehicle (UAVs) to perform landing task is essential for autonomous operation, especially when they are outside line-of-sight or in emergency situation. For autonomous landing, these vehicles need to know by themselves which areas are safe to be landed upon using small and light-weight sensors that can be carried on-board. This brought about the main goal of my research, i.e. to perform autonomous landing of a UAV with a monocular camera using generic computer vision methods. A vision algorithm using optical flow is introduced to compute some important and useful information for landing, such as ventral flow, time-to-contact, surface flatness, and surface slope. These parameters can be used to detect obstacles, search for a safe landing spot, and perform smooth landing. The algorithm is computationally efficient and suitable for use during relatively fast maneuvers.

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About

C&S aims to be a leading research group in the integration, development and testing of new theories on control, autonomous and cognitive systems (with and without human elements), while addressing industrial and societal needs.

Contact

Section Control & Simulation
Department Control & Operations
Faculty of Aerospace Engineering
Delft University of Technology

Kluyverweg 1
2629 HS, Delft

+31 (0)15 27 89471