Milad Ramezani

According to our database, Milad Ramezani authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition.

Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam

IEEE Robotics Autom. Lett., February, 2024

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., March, 2023

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

CoRR, 2023

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition.

Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam

CoRR, 2023

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, Brendan Tidd, Fletcher Talbot, Ryan Steindl, Mark Cox, Dennis Frousheger, Thomas Hines, Alex Pitt, Benjamin Tam, Brett Wood, Lauren Hanson, Katrina Lo Surdo, Thomas Molnar, Matt Wildie, Kazys Stepanas, Gavin Catt, Lachlan Tychsen-Smith, Dean Penfold, Leslie Overs, Milad Ramezani, Kasra Khosoussi, Farid Kendoul, Glenn Wagner, Duncan Palmer, Jack Manderson, Corey Medek, Matthew Joseph O'Brien, Shengkang Chen, Ronald C. Arkin

CoRR, 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

Deep Robust Multi-Robot Re-Localisation in Natural Environments.

Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam

IROS, 2023

Uncertainty-Aware Lidar Place Recognition in Novel Environments.

Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller

IROS, 2023

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Strategies for large scale elastic and semantic LiDAR reconstruction.

Yiduo Wang, Milad Ramezani, Matías Mattamala, Sundara Tejaswi Digumarti, Maurice F. Fallon

Robotics Auton. Syst., 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

AEROS: AdaptivE RObust Least-Squares for Graph-Based SLAM.

Milad Ramezani, Matías Mattamala, Maurice F. Fallon

Frontiers Robotics AI, 2022

A Letter on Progress Made on Husky Carbon: A Legged-Aerial, Multi-modal Platform.

Adarsh Salagame, Shoghair Manjikian, Chenghao Wang, Kaushik Venkatesh Krishnamurthy, Shreyansh Pitroda, Bibek Gupta, Tobias Jacob, Benjamin Mottis, Eric Sihite, Milad Ramezani, Alireza Ramezani

CoRR, 2022

Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM.

Milad Ramezani, Kasra Khosoussi, Gavin Catt, Peyman Moghadam, Jason Williams, Paulo Vinicius Koerich Borges, Fred Pauling, Navinda Kottege

CoRR, 2022

InCloud: Incremental Learning for Point Cloud Place Recognition.

Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition.

Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks.

Yiduo Wang, Nils Funk, Milad Ramezani, Sotiris Papatheodorou, Marija Popovic, Marco Camurri, Stefan Leutenegger, Maurice F. Fallon

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Camera Performance Models for Active Multi-Camera Visual Teach and Repeat.

Matías Mattamala, Milad Ramezani, Marco Camurri, Maurice F. Fallon

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the 20th International Conference on Advanced Robotics, 2021

Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis.

Yiduo Wang, Milad Ramezani, Matías Mattamala, Maurice F. Fallon

Proceedings of the 10th European Conference on Mobile Robots, 2021

Online Estimation of Diameter at Breast Height (DBH) of Forest Trees Using a Handheld LiDAR.

Alexander Proudman, Milad Ramezani, Maurice F. Fallon

Proceedings of the 10th European Conference on Mobile Robots, 2021

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

Fast and Reliable WiFi Fingerprint Collection for Indoor Localization.

Fuqiang Gu, Milad Ramezani, Kourosh Khoshelham, Xiaoping Zheng, Ruiqin Zhou, Jianga Shang

CoRR, 2020

The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth.

Milad Ramezani, Yiduo Wang, Marco Camurri, David Wisth, Matías Mattamala, Maurice F. Fallon

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot.

Yiduo Wang, Milad Ramezani, Maurice F. Fallon

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure.

Milad Ramezani, Georgi Tinchev, Egor Iuganov, Maurice F. Fallon

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

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

2018

Robust and accurate localization by visual-inertial odometry.

Milad Ramezani

PhD thesis, 2018

Vehicle Positioning in GNSS-Deprived Urban Areas by Stereo Visual-Inertial Odometry.

Milad Ramezani, Kourosh Khoshelham

IEEE Trans. Intell. Veh., 2018

Pose estimation by Omnidirectional Visual-Inertial Odometry.

Milad Ramezani, Kourosh Khoshelham, Clive S. Fraser

Robotics Auton. Syst., 2018

2017

Vehicle positioning in the absence of GNSS signals: Potential of visual-inertial odometry.

Kourosh Khoshelham, Milad Ramezani

Proceedings of the Joint Urban Remote Sensing Event, 2017

Omnidirectional visual-inertial odometry using multi-state constraint Kalman filter.

Milad Ramezani, Kourosh Khoshelham, Laurent Kneip

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017