Candidate for Best Paper Award at DATE 2021

The paper by Maria-Rafaela Gkeka, Alexandros Patras et al. titled “FPGA Architectures for Approximate Dense SLAM Computing” was a candidate for best paper award at the recent DATE 2021 conference.

This work introduces and evaluates a number of embedded MPSoC FPGA designs for KinectFusion (a well-known dense SLAM algorithm), featuring a variety of optimizations and approximations, to highlight the interplay between SLAM performance and accuracy. An open source release of our implementations and data can be found
in our github repo (https://github.com/csl-uth/KinectFusion-fpga)

Congratulations to our team!