3 papers
cs.RO2025
NGD-SLAM: Towards Real-Time Dynamic SLAM without GPU
Yuhao Zhang, Mihai Bujanca, Mikel Luján
Many existing visual SLAM methods can achieve high localization accuracy in dynamic environments by leveraging deep learning to mask moving objects. However, these methods incur si…
cs.RO2024
A Framework for Reproducible Benchmarking and Performance Diagnosis of SLAM Systems
Nikola Radulov, Yuhao Zhang, Mihai Bujanca +2
We propose SLAMFuse, an open-source SLAM benchmarking framework that provides consistent crossplatform environments for evaluating multi-modal SLAM algorithms, along with tools for…
cs.SE2024
LeanBin: Harnessing Lifting and Recompilation to Debloat Binaries
Igor Wodiany, Antoniu Pop, Mikel Luján
To reduce the source of potential exploits, binary debloating or specialization tools are used to remove unnecessary code from binaries. This paper presents a new binary debloating…