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New code sprints from Honda Research Institute

After a successful first code sprint with HRI, it is our pleasure to announce the beginning of 4 new projects:

  1. labeling outdoor pedestrian and car data as ground truth (2 months)
  2. fast 3D cluster recognition of pedestrians and cars in uncluttered scenes (3 months)
  3. part-based 3D recognition of pedestrians and cars in cluttered scenes (6 months)
  4. stereo-based road area detection (2 months)

Please see the previous HRCS sprint announcement for more information. PCL-HRCS will run for 3-6 months during Q1 2013. Interested candidates should submit the following information to

  • a brief resume
  • a list of existing PCL contributions (if any)
  • a list of projects (emphasis on open source projects please) that they contributed to in the past

This project requires good C++ programming skills, and knowledge of PCL internals.

PCL-HRCS kickstart!

PCL-HRCS is ready to start! The two developers that will be working on 3D technologies for driver-assistance systems are:

  • Aitor Aldoma, from Vienna University of Technology, will be working on 3D face orientation. Aitor has been working on techniques for object recognition and 6DOF pose alignment out of point cloud data for PCL in the past, such as CVFH.
  • Alex Trevor, from Georgia Institute of Technology, will be working on non-ground extraction from point cloud data. Alex has developed various real-time segmentation methods for planar components as part of PCL.

We would like to thank all the other candidates for their excellent proposals! We already started following up with each of them individually, as there are many more sprints to come!

[Note: the new blogging page for HRCS will be up within the next few days at]

PCL and Honda Research Institute Code Sprint 2012

Honda Research Institute

It is our immense pleasure to announce the beginning of a new PCL Code Sprint sponsored by Honda Research Institute: PCL-HRCS!

PCL Code Sprints are intended to rapidly advance the capabilities of the Point Cloud Library in a certain area/subject by offering stipends to talented student developers and pairing them with knowledgeable mentors for several months of accelerated software development. Projects will run for an initial period of 3 months, and all of the code produced will be BSD-licensed open source.

For this spring's PCL-Honda Research Institute Code Sprint, we have identified the following important area for further development in PCL, and we are therefore searching for outstanding candidates (and mentors) to work on the following projects:

  1. Non-ground extraction from point cloud data: given a point cloud data sequence, develop a method for determining a planar drivable area (i.e., identify pixels in the image that correspond to the drivable zone), then classify the remaining areas in non-drivable or unknown.
  2. Face orientation: given a point…

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