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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 cloud data sequence, develop a method for determining the orientation of a human face in real-time. The face location is relatively stable, and certain assumptions about a frontal dominant orientation can be made. Data might contain some degree of motion blur (even if it's acquired at 15Hz).

The above projects will run for a period of 3 months divided into two terms. Each student developer will receive a stipend of $5000 per 3 months for their contributions, subject to satisfactory mid-term and final evaluations.

Potential 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

Advanced C++ programming skills are required for all projects. Please remember that this is a unique opportunity to work with some of the world's best 3D perception researchers!

Interested mentors should send a brief e-mail to the address mentioned above pointing out their time commitments and expertise in the field.

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