Masterthesis:Development of an onboard Computer Vision Algorithm for Dynamic Object/Obstacle Recognition and Localizatio

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Jet
Neuling
Neuling
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Registriert: 11. Mär 2020 13:47

Masterthesis:Development of an onboard Computer Vision Algorithm for Dynamic Object/Obstacle Recognition and Localizatio

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Master Thesis: Development of an onboard Computer Vision Algorithm for Dynamic Object/Obstacle Recognition and Localization for UAVs

Background:
In the low-altitude airspace, the operations of UAVs are threatened by a variety of dynamic obstacles such as aircraft, birds, and so on. Collisions with these dynamic objects became the main cause of drone accidents and have limited the widespread use of drones. In order to perceive these threats effectively, UAVs are equipped with onboard sensors to sense the surrounding environment. Compared with radar and ultrasonic sensors, cameras are low-cost, light-weight, and can collect more information. Thus, cameras are an interesting alternative to existing sensors.

Task:
For drones, detection and classification of dynamic objects are not enough. It is also necessary to estimate their relative position, to provide a reference for the drone's avoidance operation. Therefore, the research objective of this thesis is to develop a dynamic object detection and location estimation method algorithm for UAVs based on computer vision.

If you are interested, please contact:
Jie Liu, liu@fsr.tu-darmstadt.de
Henrik Heier, heier@fsr.tu-darmstadt.de

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