Performance of Single Board Computers for Vision Processing
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.
Computers, Visualization, Architecture, Random access memory, Computer architecture, Complexity theory, Sensors
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.