Sensor Management in 2D Lidar-Based Underground Positioning. - Kristin Nielsen; Gustaf Hendeby (FUSION, 2020)

UKF Parameter Tuning for Local Variation Smoothing. - Kristin Nielsen; Caroline Svahn; Héctor Rodriguez Déniz; Gustaf Hendeby (MFI, 2021)

Feature Based Multi-Hypothesis Map Representation for Localization in Non-Static Environments. - Kristin Nielsen; Gustaf Hendeby (FUSION, 2022)

Localization for Autonomous Vehicles in Underground Mines. - Kristin Nielsen (2023)

Survey on 2D Lidar Feature Extraction for Underground Mine Usage. - Kristin Nielsen; Gustaf Hendeby (IEEE Trans Autom. Sci. Eng., 2023)

Multi-Hypothesis SLAM for Non-Static Environments With Reoccurring Landmarks. - Kristin Nielsen; Gustaf Hendeby (IEEE Trans. Intell. Veh., 2023)

Hypothesis selection with Monte Carlo tree search for feature-based simultaneous localization and mapping in non-static environments. - Kristin Nielsen; Gustaf Hendeby (Int. J. Robotics Res., 2024)