A Comparative Evaluation of Learned Feature Descriptors on Hybrid Monocular Visual SLAM Methods. - Hudson Martins Silva Bruno; Esther Luna Colombini (LARS/SBR/WRE, 2020)

LIFT-SLAM: A deep-learning feature-based monocular visual SLAM method. - Hudson Martins Silva Bruno; Esther Luna Colombini (Neurocomputing, 2021)

Towards Robust Visual Odometry Systems Against Camera Lens Failures. - Lorenzo Sarti; Hudson Martins Silva Bruno; Tommaso Puccetti; Esther Colombini; Andrea Ceccarelli (ISSREW, 2023)

A comparison of deep learning-based visual odometry algorithms in challenging scenarios. - Hudson Martins Silva Bruno; Kleber M. Cabral; Esther Luna Colombini; Sidney N. Givigi (SysCon, 2024)

QueensCAMP: an RGB-D dataset for robust Visual SLAM. - Hudson Martins Silva Bruno; Esther Luna Colombini; Sidney Nascimento Givigi (CoRR, 2024)