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A Power-Performance Approach to Comparing Sensor Families, with application to comparing neuromorphic to traditional vision sensors

Year: 2015

Type: conference-paper

Source: Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI: 10.1109/icra.2015.7139657

Authors: Andrea Censi, Erich Mueller, Emilio Frazzoli, Stefano Soatto

Institutions: Massachusetts Institute of Technology, University of California, Los Angeles

Language: English

Topic: Advanced Vision and Imaging

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W1539726733

FWCI: 0.676

Cites: 33

Cited by: 24

Related to: 10