SLAM Performance on Embedded Robots Undergraduate Student Research: Individual Project
- Nima Shoghi Ghalehshahi, Ramyad Hadidi, Hyesoon Kim
- Computer Science
- 2019
This paper explores whether it is possible to run the popular ORBSLAM2 algorithm (simultaneous localization and mapping) in real-time on the Raspberry Pi 3B+ for use in embedded robots and measures the performance and accuracy of the algorithm on the EuRoC MAV dataset.