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Enabling Monocular Depth Perception at the Very Edge
AbstractDepth estimation is crucial in several computer vision applications, and a recent trend aims at inferring such a cue from a single camera through computationally demanding CNNs -- precluding their practical deployment in several application contexts characterized by low-power constraints. Purposely, we develop a tiny network tailored to microcontrollers, processing low-resolution images to obtain a coarse depth map of the observed scene. Our solution enables depth perception with minimal power requirements (a few hundreds of mW), accurately enough to pave the way to several high-level applications at-the-edge.
Related Material
[pdf][bibtex]@InProceedings{Peluso_2020_CVPR_Workshops,
author = {Peluso, Valentino and Cipolletta, Antonio and Calimera, Andrea and Poggi, Matteo and Tosi, Fabio and Aleotti, Filippo and Mattoccia, Stefano},
title = {Enabling Monocular Depth Perception at the Very Edge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
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