e-ce
Department of Electrical and Computer Engineering,University of Thessaly, Greece
uth

FPGA Accelerators for Robust Visual SLAM on Humanoid Robots

December 2, 2021
Written by Alexandros Patras 
FPGA Accelerators for Robust Visual SLAM on Humanoid Robots

December 2, 2021

The paper on "FPGA Accelerators for Robust Visual SLAM on Humanoid Robots" will be presented as a poster on the 30th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA). This work presents a pose graph optimization module as an extension on the KinectFusion pipeline (a well-known SLAM algorithm), to help recover the robot’s pose during unstable gait patterns where the KinectFusion tracking system fails. The work implements a number of precise and approximate optimizations to achieve real-time performance on the ZCU102 FPGA hardware.

 

This work is in cooperation with the Foundation for Research and Technology - Hellas (FORTH).

Share on
Alexandros Patras
Consequat mauris nunc congue nisi vitae suscipit tellus. Quis eleifend quam adipiscing vitae proin sagittis nisl rhoncus. Mauris ultrices eros in cursus turpis massa tincidunt. Integer quis auctor elit sed vulputate mi sit amet omnes commodos.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
CSL ©
2021
envelopemap-markerarrow-up