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Dinh-Cuong Hoang

Title: Doctoral Student School/office: School of Science and Technology


Phone: +46 19 301359

Room: T1224

Dinh-Cuong Hoang

About Dinh-Cuong Hoang

Project title and summary in brief:

Object recognition in 3D models reconstructed from RGB-D sensor data.

The goal of object recognition and localization is to find the position and orientation of a set of objects of interest in 3-D space. This task still poses a significant challenge, because the target objects can be any forms, shapes, and have six degrees of freedom (DOF). In addition, the targets may be arranged in a challenging manner in the scene. Because there are many objects with same shape and appearance, it is not easy to recognize the right object and place targets at the defined position, even for a human. The main goals of this study are robust recognition and localization of a set of target objects, using RGB-D sensor data as input and evaluating the suitability of the detected poses to an automated picking system.




Research Projects

Research Teams



Conference papers | 

Conference papers

Hoang, D. , Stoyanov, T. & Lilienthal, A. J. (2019). Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots. In: 2019 European Conference on Mobile Robots, ECMR 2019 Proceedings. Paper presented at 2019 European Conference on Mobile Robots (ECMR), Prague, Czech Republic, 4-6 Sept, 2019. IEEE.