Survey of Visual Feature Extraction Algorithms in a Mars-like Environment. - Martin Oelsch; Dominik Van Opdenbosch; Eckehard G. Steinbach (ISM, 2017)

A joint compression scheme for local binary feature descriptors and their corresponding bag-of-words representation. - Dominik Van Opdenbosch; Martin Oelsch; Adrian Garcea; Eckehard G. Steinbach (VCIP, 2017)

Selection and Compression of Local Binary Features for Remote Visual SLAM. - Dominik Van Opdenbosch; Martin Oelsch; Adrian Garcea; Tamay Aykut; Eckehard G. Steinbach (ICRA, 2018)

MID: A Novel Contrast Metric for the MSER Detector. - Martin Oelsch; Basak Gülecyüz; Eckehard G. Steinbach (ISM, 2018)

Skewed-redundant Hall-effect Magnetic Sensor Fusion for Perturbation-free Indoor Heading Estimation. - Mojtaba Karimi; Edwin Babaians; Martin Oelsch; Tamay Aykut; Eckehard G. Steinbach (IRC, 2020)

Init-LOAM: LiDAR-based Localization and Mapping with a Static Self-Generated Initial Map. - Martin Oelsch; Mojtaba Karimi; Eckehard G. Steinbach (ICAR, 2021)

Deep Fusion of a Skewed Redundant Magnetic and Inertial Sensor for Heading State Estimation in a Saturated Indoor Environment. - Mojtaba Karimi; Edwin Babaians; Martin Oelsch; Eckehard G. Steinbach (Int. J. Semantic Comput., 2021)

LoLa-SLAM: Low-Latency LiDAR SLAM Using Continuous Scan Slicing. - Mojtaba Karimi; Martin Oelsch; Oliver Stengel; Edwin Babaians; Eckehard G. Steinbach (IEEE Robotics Autom. Lett., 2021)

R-LOAM: Improving LiDAR Odometry and Mapping With Point-to-Mesh Features of a Known 3D Reference Object. - Martin Oelsch; Mojtaba Karimi; Eckehard G. Steinbach (IEEE Robotics Autom. Lett., 2021)

RO-LOAM: 3D Reference Object-based Trajectory and Map Optimization in LiDAR Odometry and Mapping. - Martin Oelsch; Mojtaba Karimi; Eckehard G. Steinbach (IEEE Robotics Autom. Lett., 2022)