Performance of Single Board Computers for Vision Processing

Manore, Curtis; Manjunath, Pratheek; Larkin, Dominic

Performance of Single Board Computers for Vision Processing

Date

2021-01-27

Authors

Manore, Curtis

Manjunath, Pratheek

Larkin, Dominic

Publisher

IEEE

Abstract

With the increasing complexity of machine vision algorithms and growing applications of image processing, how do computers without a dedicated graphics processor perform? This research discusses the computational abilities of two low-cost single board computers (SBCs) by subjecting them to various Visual Inertial Odometry (VIO) algorithms. The end goal of this research is to identify a SBC which meets the requirements of being employed on an Unmanned Aerial System for autonomous navigation.

Keywords

Computers, Visualization, Architecture, Random access memory, Computer architecture, Complexity theory, Sensors

Citation

C. Manore, P. Manjunath and D. Larkin, "Performance of Single Board Computers for Vision Processing," 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), NV, USA, 2021, pp. 0883-0889, doi: 10.1109/CCWC51732.2021.9376035.