Sparse sensing for resource-constrained depth reconstruction

Sparse sensing for resource-constrained depth reconstruction

We address the following question: is it possible to reconstruct the geometry of an unknown environment using sparse and incomplete depth measurements? This problem is relevant for a resource-constrained robot that has to navigate and map an environment, but does not have enough on-board power or pa...

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Bibliographic Details
Main Authors: Ma, Fangchang (Contributor), Carlone, Luca (Contributor), Ayaz, Ulas (Contributor), Karaman, Sertac (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2018-06-12T18:02:11Z.
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