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 (

Congratulations to our team!