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Semantic SLAM for Robotic Scene Understanding
MOTIVATION
Most 3D scene understanding work applied in the field of robotics realy on two main assumptions:
1. Detailed and accurate 3D reconstructions
2. Reliable semantic segmentation
PROPOSAL
We propose to use the robot itself for mapping, and then performing the Semantic Segmentation task on the on-board computer. This will allow us to have an end-to-end pipeline to perform scen understanding in real time on the Spot robot.
Keywords: Robotics, semantic SLAM, scene understanding
Not specified
Not specified
Requirements: experience with a Python deep learning framework, understanding of 3D scene and camera geometry.
Please send us a CV and transcript.
Dr. Hermann Blum (blumh@ethz.ch)
Dr. Zuria Bauer (zbauer@ethz.ch)
Requirements: experience with a Python deep learning framework, understanding of 3D scene and camera geometry.
Please send us a CV and transcript.
Dr. Hermann Blum (blumh@ethz.ch) Dr. Zuria Bauer (zbauer@ethz.ch)
Presentación19-5.pdf
