Omnidirectional visual-inertial odometry using multi-state constraint Kalman filter. - Milad Ramezani; Kourosh Khoshelham; Laurent Kneip (IROS, 2017)

Vehicle positioning in the absence of GNSS signals: Potential of visual-inertial odometry. - Kourosh Khoshelham; Milad Ramezani (JURSE, 2017)

Pose estimation by Omnidirectional Visual-Inertial Odometry. - Milad Ramezani; Kourosh Khoshelham; Clive S. Fraser (Robotics Auton. Syst., 2018)

Vehicle Positioning in GNSS-Deprived Urban Areas by Stereo Visual-Inertial Odometry. - Milad Ramezani; Kourosh Khoshelham (IEEE Trans. Intell. Veh., 2018)

Robust and accurate localization by visual-inertial odometry. - Milad Ramezani (2018)

Indoor Localization Improved by Spatial Context - A Survey. - Fuqiang Gu; Xuke Hu; Milad Ramezani; Debaditya Acharya; Kourosh Khoshelham; Shahrokh Valaee; Jianga Shang (ACM Comput. Surv., 2019)

Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure. - Milad Ramezani; Georgi Tinchev; Egor Iuganov; Maurice F. Fallon (ICRA, 2020)

Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot. - Yiduo Wang 001; Milad Ramezani; Maurice F. Fallon (ICRA, 2020)

The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth. - Milad Ramezani; Yiduo Wang 001; Marco Camurri; David Wisth; Matías Mattamala; Maurice F. Fallon (IROS, 2020)

Fast and Reliable WiFi Fingerprint Collection for Indoor Localization. - Fuqiang Gu; Milad Ramezani; Kourosh Khoshelham; Xiaoping Zheng; Ruiqin Zhou; Jianga Shang (CoRR, 2020)

Pronto: A Multi-Sensor State Estimator for Legged Robots in Real-World Scenarios. - Marco Camurri; Milad Ramezani; Simona Nobili; Maurice F. Fallon (Frontiers Robotics AI, 2020)

Online Estimation of Diameter at Breast Height (DBH) of Forest Trees Using a Handheld LiDAR. - Alexander Proudman; Milad Ramezani; Maurice F. Fallon (ECMR, 2021)

Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis. - Yiduo Wang 001; Milad Ramezani; Matías Mattamala; Maurice F. Fallon (ECMR, 2021)

ICP Localization and Walking Experiments on a TALOS Humanoid Robot. - Thibaud Lasguignes; Isabelle Maroger; Maurice F. Fallon; Milad Ramezani; Luca Marchionni; Olivier Stasse; Nicolas Mansard; Bruno Watier (ICAR, 2021)

Learning Camera Performance Models for Active Multi-Camera Visual Teach and Repeat. - Matías Mattamala; Milad Ramezani; Marco Camurri; Maurice F. Fallon (ICRA, 2021)

Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks. - Yiduo Wang 001; Nils Funk; Milad Ramezani; Sotiris Papatheodorou; Marija Popovic; Marco Camurri; Stefan Leutenegger; Maurice F. Fallon (ICRA, 2021)

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. - Kavisha Vidanapathirana; Milad Ramezani; Peyman Moghadam; Sridha Sridharan; Clinton Fookes (ICRA, 2022)

InCloud: Incremental Learning for Point Cloud Place Recognition. - Joshua Knights; Peyman Moghadam; Milad Ramezani; Sridha Sridharan; Clinton Fookes (IROS, 2022)

Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM. - Milad Ramezani; Kasra Khosoussi; Gavin Catt; Peyman Moghadam; Jason Williams 002; Paulo Vinicius Koerich Borges; Fred Pauling; Navinda Kottege (CoRR, 2022)

A Letter on Progress Made on Husky Carbon: A Legged-Aerial, Multi-modal Platform. - Adarsh Salagame; Shoghair Manjikian; Chenghao Wang 011; Kaushik Venkatesh Krishnamurthy; Shreyansh Pitroda; Bibek Gupta; Tobias Jacob; Benjamin Mottis; Eric Sihite; Milad Ramezani; Alireza Ramezani (CoRR, 2022)

AEROS: AdaptivE RObust Least-Squares for Graph-Based SLAM. - Milad Ramezani; Matías Mattamala; Maurice F. Fallon (Frontiers Robotics AI, 2022)

Towards real-time forest inventory using handheld LiDAR. - Alexander Proudman; Milad Ramezani; Sundara Tejaswi Digumarti; Nived Chebrolu; Maurice F. Fallon (Robotics Auton. Syst., 2022)

Strategies for large scale elastic and semantic LiDAR reconstruction. - Yiduo Wang 001; Milad Ramezani; Matías Mattamala; Sundara Tejaswi Digumarti; Maurice F. Fallon (Robotics Auton. Syst., 2022)

Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. - Joshua Knights; Kavisha Vidanapathirana; Milad Ramezani; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (ICRA, 2023)

Uncertainty-Aware Lidar Place Recognition in Novel Environments. - Keita Mason; Joshua Knights; Milad Ramezani; Peyman Moghadam; Dimity Miller (IROS, 2023)

Deep Robust Multi-Robot Re-Localisation in Natural Environments. - Milad Ramezani; Ethan Griffiths; Maryam Haghighat; Alex Pitt; Peyman Moghadam (IROS, 2023)

Demonstrating Autonomous 3D Path Planning on a Novel Scalable UGV-UAV Morphing Robot. - Eric Sihite; Filip Slezak; Ioannis Mandralis; Adarsh Salagame; Milad Ramezani; Arash Kalantari; Alireza Ramezani; Morteza Gharib (IROS, 2023)

Air-Ground Collaborative Localisation in Forests Using Lidar Canopy Maps. - Lucas Carvalho de Lima; Milad Ramezani; Paulo Vinicius Koerich Borges; Michael Brünig (IEEE Robotics Autom. Lett., 2023)

Towards Long-term Robotics in the Wild. - Stephen Hausler; Ethan Griffiths; Milad Ramezani; Peyman Moghadam (CoRR, 2024)

Online 6DoF Pose Estimation in Forests using Cross-View Factor Graph Optimisation and Deep Learned Re-localisation. - Lucas Carvalho de Lima; Ethan Griffiths; Maryam Haghighat; Simon Denman; Clinton Fookes; Paulo V. K. Borges; Michael Brünig; Milad Ramezani (CoRR, 2024)

Heterogeneous Robot Teams with Unified Perception and Autonomy: How Team CSIRO Data61 Tied for the Top Score at the DARPA Subterranean Challenge. - Navinda Kottege; Jason Williams 002; Brendan Tidd; Fletcher Talbot; Ryan Steindl; Mark Cox; Dennis Frousheger; Thomas Hines; Alex Pitt; Benjamin Tam; Brett Wood; Lauren Hanson; et al. (Field Robotics, 2024)

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. - Milad Ramezani; Liang Wang; Joshua Knights; Zhibin Li 002; Pauline Pounds; Peyman Moghadam (IEEE Robotics Autom. Lett., 2024)

HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views. - Ethan Griffiths; Maryam Haghighat; Simon Denman; Clinton Fookes; Milad Ramezani (CVPR, 2025)

WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments. - Kavisha Vidanapathirana; Joshua Knights; Stephen Hausler; Mark Cox; Milad Ramezani; Jason Jooste; Ethan Griffiths; Shaheer Mohamed; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (Int. J. Robotics Res., 2025)

Reduced-Order Model-Based Gait Generation for Snake Robot Locomotion using NMPC. - Adarsh Salagame; Eric Sihite; Milad Ramezani; Alireza Ramezani (CoRR, 2025)

Vision-Guided Loco-Manipulation with a Snake Robot. - Adarsh Salagame; Sasank Potluri; Keshav Bharadwaj Vaidyanathan; Kruthika Gangaraju; Eric Sihite; Milad Ramezani; Alireza Ramezani (CoRR, 2025)