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ORCIDMilad Ramezani
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2020 – today
- 2024
[j9]Milad Ramezani
, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam:
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics Autom. Lett. 9(2): 1182-1189 (2024)- [i21]Stephen Hausler, Ethan Griffiths, Milad Ramezani, Peyman Moghadam:
Towards Long-term Robotics in the Wild. CoRR abs/2404.18477 (2024) - [i20]Lucas Carvalho de Lima, Ethan Griffiths, Maryam Haghighat, Simon Denman, Clinton Fookes, Paulo V. K. Borges, Michael Brünig, Milad Ramezani:
Online 6DoF Pose Estimation in Forests using Cross-View Factor Graph Optimisation and Deep Learned Re-localisation. CoRR abs/2409.16680 (2024) - 2023
- [j8]Lucas Carvalho de Lima, Milad Ramezani, Paulo Vinicius Koerich Borges, Michael Brünig:
Air-Ground Collaborative Localisation in Forests Using Lidar Canopy Maps. IEEE Robotics Autom. Lett. 8(3): 1818-1825 (2023) - [c16]Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. ICRA 2023: 11322-11328 - [c15]Eric Sihite, Filip Slezak, Ioannis Mandralis, Adarsh Salagame, Milad Ramezani, Arash Kalantari, Alireza Ramezani, Morteza Gharib:
Demonstrating Autonomous 3D Path Planning on a Novel Scalable UGV-UAV Morphing Robot. IROS 2023: 3064-3069 - [c14]Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam:
Deep Robust Multi-Robot Re-Localisation in Natural Environments. IROS 2023: 3322-3328 - [c13]Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller:
Uncertainty-Aware Lidar Place Recognition in Novel Environments. IROS 2023: 3366-3373 - [i19]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:
Heterogeneous robot teams with unified perception and autonomy: How Team CSIRO Data61 tied for the top score at the DARPA Subterranean Challenge. CoRR abs/2302.13230 (2023) - [i18]Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam:
Deep Robust Multi-Robot Re-localisation in Natural Environments. CoRR abs/2307.13950 (2023) - [i17]Eric Sihite, Filip Slezak, Ioannis Mandralis, Adarsh Salagame, Milad Ramezani, Arash Kalantari, Alireza Ramezani, Morteza Gharib:
Demonstrating Autonomous 3D Path Planning on a Novel Scalable UGV-UAV Morphing Robot. CoRR abs/2308.00235 (2023) - [i16]Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam:
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. CoRR abs/2309.00168 (2023) - [i15]Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments. CoRR abs/2312.15364 (2023) - 2022
- [j7]Milad Ramezani, Matías Mattamala, Maurice F. Fallon:
AEROS: AdaptivE RObust Least-Squares for Graph-Based SLAM. Frontiers Robotics AI 9: 789444 (2022) - [j6]Yiduo Wang, Milad Ramezani, Matías Mattamala, Sundara Tejaswi Digumarti, Maurice F. Fallon:
Strategies for large scale elastic and semantic LiDAR reconstruction. Robotics Auton. Syst. 155: 104185 (2022) - [j5]Alexander Proudman, Milad Ramezani, Sundara Tejaswi Digumarti, Nived Chebrolu, Maurice F. Fallon:
Towards real-time forest inventory using handheld LiDAR. Robotics Auton. Syst. 157: 104240 (2022) - [c12]Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. ICRA 2022: 2215-2221 - [c11]Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. IROS 2022: 8559-8566 - [i14]Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. CoRR abs/2203.00807 (2022) - [i13]Milad Ramezani, Kasra Khosoussi, Gavin Catt, Peyman Moghadam, Jason Williams, Paulo Vinicius Koerich Borges, Fred Pauling, Navinda Kottege:
Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM. CoRR abs/2205.12595 (2022) - [i12]Adarsh Salagame, Shoghair Manjikian, Chenghao Wang, Kaushik Venkatesh Krishnamurthy, Shreyansh Pitroda, Bibek Gupta, Tobias Jacob, Benjamin Mottis, Eric Sihite, Milad Ramezani, Alireza Ramezani:
A Letter on Progress Made on Husky Carbon: A Legged-Aerial, Multi-modal Platform. CoRR abs/2207.12254 (2022) - [i11]Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller:
Uncertainty-Aware Lidar Place Recognition in Novel Environments. CoRR abs/2210.01361 (2022) - [i10]Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. CoRR abs/2211.12732 (2022) - 2021
- [c10]Alexander Proudman, Milad Ramezani, Maurice F. Fallon:
Online Estimation of Diameter at Breast Height (DBH) of Forest Trees Using a Handheld LiDAR. ECMR 2021: 1-7 - [c9]Yiduo Wang, Milad Ramezani, Matías Mattamala, Maurice F. Fallon:
Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis. ECMR 2021: 1-8 - [c8]Thibaud Lasguignes, Isabelle Maroger, Maurice F. Fallon, Milad Ramezani, Luca Marchionni, Olivier Stasse, Nicolas Mansard, Bruno Watier:
ICP Localization and Walking Experiments on a TALOS Humanoid Robot. ICAR 2021: 800-805 - [c7]Yiduo Wang, Nils Funk, Milad Ramezani, Sotiris Papatheodorou, Marija Popovic, Marco Camurri, Stefan Leutenegger, Maurice F. Fallon:
Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks. ICRA 2021: 5035-5041 - [c6]Matías Mattamala, Milad Ramezani, Marco Camurri, Maurice F. Fallon:
Learning Camera Performance Models for Active Multi-Camera Visual Teach and Repeat. ICRA 2021: 14346-14352 - [i9]Matías Mattamala, Milad Ramezani, Marco Camurri, Maurice F. Fallon:
Learning Camera Performance Models for Active Multi-Camera Visual Teach and Repeat. CoRR abs/2103.14070 (2021) - [i8]Yiduo Wang, Milad Ramezani, Matías Mattamala, Maurice F. Fallon:
Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis. CoRR abs/2106.15446 (2021) - [i7]Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. CoRR abs/2109.08336 (2021) - [i6]Milad Ramezani, Matías Mattamala, Maurice F. Fallon:
AEROS: Adaptive RObust least-Squares for Graph-Based SLAM. CoRR abs/2110.02018 (2021) - 2020
- [j4]Marco Camurri, Milad Ramezani, Simona Nobili, Maurice F. Fallon:
Pronto: A Multi-Sensor State Estimator for Legged Robots in Real-World Scenarios. Frontiers Robotics AI 7: 68 (2020) - [c5]Milad Ramezani, Georgi Tinchev, Egor Iuganov, Maurice F. Fallon:
Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure. ICRA 2020: 4158-4164 - [c4]Yiduo Wang, Milad Ramezani, Maurice F. Fallon:
Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot. ICRA 2020: 8609-8615 - [c3]Milad Ramezani, Yiduo Wang, Marco Camurri, David Wisth, Matías Mattamala, Maurice F. Fallon:
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth. IROS 2020: 4353-4360 - [i5]Milad Ramezani, Georgi Tinchev, Egor Iuganov, Maurice F. Fallon:
Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure. CoRR abs/2001.10249 (2020) - [i4]Yiduo Wang, Milad Ramezani, Maurice F. Fallon:
Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot. CoRR abs/2002.09710 (2020) - [i3]Milad Ramezani, Yiduo Wang, Marco Camurri, David Wisth, Matías Mattamala, Maurice F. Fallon:
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth. CoRR abs/2003.05691 (2020) - [i2]Fuqiang Gu, Milad Ramezani, Kourosh Khoshelham, Xiaoping Zheng, Ruiqin Zhou, Jianga Shang:
Fast and Reliable WiFi Fingerprint Collection for Indoor Localization. CoRR abs/2009.03743 (2020) - [i1]Yiduo Wang, Nils Funk, Milad Ramezani, Sotiris Papatheodorou, Marija Popovic, Marco Camurri, Stefan Leutenegger, Maurice F. Fallon:
Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks. CoRR abs/2010.09232 (2020)
2010 – 2019
- 2019
- [j3]Fuqiang Gu, Xuke Hu, Milad Ramezani, Debaditya Acharya, Kourosh Khoshelham, Shahrokh Valaee, Jianga Shang:
Indoor Localization Improved by Spatial Context - A Survey. ACM Comput. Surv. 52(3): 64:1-64:35 (2019) - 2018
- [b1]Milad Ramezani:
Robust and accurate localization by visual-inertial odometry. University of Melbourne, Parkville, Victoria, Australia, 2018 - [j2]Milad Ramezani, Kourosh Khoshelham, Clive S. Fraser:
Pose estimation by Omnidirectional Visual-Inertial Odometry. Robotics Auton. Syst. 105: 26-37 (2018) - [j1]Milad Ramezani, Kourosh Khoshelham:
Vehicle Positioning in GNSS-Deprived Urban Areas by Stereo Visual-Inertial Odometry. IEEE Trans. Intell. Veh. 3(2): 208-217 (2018) - 2017
- [c2]Milad Ramezani, Kourosh Khoshelham, Laurent Kneip:
Omnidirectional visual-inertial odometry using multi-state constraint Kalman filter. IROS 2017: 1317-1323 - [c1]Kourosh Khoshelham, Milad Ramezani:
Vehicle positioning in the absence of GNSS signals: Potential of visual-inertial odometry. JURSE 2017: 1-4
Coauthor Index
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last updated on 2024-10-18 19:33 CEST by the dblp team
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