Robot Vision Group

The Robot Vision Group performs topic-specific research inside the Institute for Computer Graphics and Vision. Headed by Matthias Rüther, the group consists of several Ph.D. and diploma students. Within the fruitful research environment of ICG, we conduct application-driven projects in Optical Metrology, Photogrammetry, Mobile Robotics and Industrial Robotics. Fruitful cooperations with more than 50 company partners allow us to deliver cutting-edge research results, always with a mindset on practical applicability.   

Open Student Opportunity/Masters Thesis: LiDAR Point Cloud Tooling supporting Metrology

The aim of this diploma thesis is to develop a tool that supports basic metrology tasks (such as visualization of point cloud data, measurements within the point cloud, field-of-view analyses) for a MEMS-based LiDAR system. Furthermore, algorithms should be explored in order to perform a raw-to-point cloud conversion (used by the metrology tool) in an efficient and high performing way.

Contact: Dipl.-Ing. Dr.techn. Matthias Rüther
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Open Student Opportunity/Masters Thesis: Automatisiertes Laden von Elektro- und Plug-In-Hybridfahrzeugen

Beginn:  ab sofort

Arbeitsplatz:  Institut für Maschinelles Sehen und Darstellen, Institut für Fahrzeugtechnik

Kontakt: Matthias Rüther <ruether (at)>

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Robot-Vision Sensors and Systems

Mobile Sensing & Mapping

Photogrammetry and 3D Processing

Time-of-Flight Imaging

Youtube Channel


2016/12/16: New Open Student Position: LIDAR Metrology Tooling

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2016/12/01: New Open Student Position: Robotic Charging of Electric Vehicles

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2016/07/15: Accepted to BMVC 2016

Our paper "A Deep Primal-Dual Network for Guided Depth Super-Resolution" has been accepted for oral presentation at the British Machine Vision Conference 2016 held at the University of York, United Kingdom.

2016/07/11: Accepted to ECCV 2016

Our paper "ATGV-Net: Accurate Depth Superresolution" has been accepted at the European Conference on Computer Vision 2016 in Amsterdam, The Netherlands.

2015/10/07: Accepted to ICCV 2015 Workshop: TASK-CV

Our paper "Anatomical landmark detection in medical applications driven by synthetic data" has been accepted at the IEEE International Conference on Computer Vision 2015 workshop on transferring and adapting source knowledge in computer vision.

2015/09/14: Camera calibration code online

The camera calibration toolbox accompanying our paper "Learning Depth Calibration of Time-of-Flight Cameras" is available here.

2015/09/07: Accepted to ICCV 2015

Our papers "Variational Depth Superresolution using Example-Based Edge Representations" and "Conditioned Regression Models for Non-Blind Single Image Super-Resolution" have been accepted at the IEEE International Conference on Computer Vision 2015, December 13-16, Santiago, Chile.

2015/07/03: Accepted to BMVC 2015

Our papers "Depth Restoration via Joint Training of a Global Regression Model and CNNs" and "Learning Depth Calibration of Time-of-Flight Cameras" have been accepted as a poster presentation at the 26th British Machine Vision Conference, September 7-10, Swansea, United Kingdom.