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A holistic approach to object localization for 3D random bin picking

The goal of this study is to automatically select and optimize 3D object detection algorithms in the context of robotic random bin picking. This is done by using all prior knowledge to generate realistic simulated datasets, which provide the ground truth object locations that can be used to evaluate the detectors performance.

Date:10 Oct 2014  →  9 Oct 2018
Keywords:Computer Vision, Robotics, Object Detection, Image Processing, 3D vision, Random Bin Picking, Pattern Recognition
Disciplines:Sensors, biosensors and smart sensors, Other electrical and electronic engineering
Project type:PhD project