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teaching:gsoc2018 [2018/01/21 20:28] – balintbeteaching:gsoc2018 [2018/01/21 20:44] – [Topic 1: Multi-modal Cluttered Scene Analysis in Knowledge Intensive Scenarios] balintbe
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 **Contact:** [[team/daniel_nyga|Daniel Nyga]] **Contact:** [[team/daniel_nyga|Daniel Nyga]]
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 +==== Topic 2: Felxible perception pipeline manipulation for RoboSherlock ====
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 +{{  :teaching:gsoc:topic1_rs.png?nolink&200|}}
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 +**Main Objective:** RoboSherlock is based on the unstructured information management paradigm and uses the uima library at it's core. The c++ implementation of this library is limited multiple ways. In this topic you will develop a module in order to flexibly manage perception pipelines by extending the current implementation to enable new modalities and  run pipelines in parallel. This involves implementing an API for pipeline and data handling that is rooted in the domain of UIMA. 
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 +**Task Difficulty:** The task is considered to be of medium difficulty. 
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 +**Requirements:** Good programming skills in C++ and basic knowledge of CMake and ROS. Experience with PCL, OpenCV is prefered.
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 +**Expected Results:** an extension to RoboShelrock that allows splitting and joingin pipelines, executing them in parallel, merging results from multiple types of cameras etc. 
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 +Contact: [[team/ferenc_balint-benczedi|Ferenc Bálint-Benczédi]]
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