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1809.03554
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Certifiably Globally Optimal Extrinsic Calibration from Per-Sensor Egomotion
10 September 2018
Matthew Giamou
Ziye Ma
Valentin Peretroukhin
Jonathan Kelly
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Papers citing
"Certifiably Globally Optimal Extrinsic Calibration from Per-Sensor Egomotion"
20 / 20 papers shown
Title
Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
Baoshan Song
Xiao Xia
Penggao Yan
Yihan Zhong
W. Wen
Li-Ta Hsu
47
0
0
10 Oct 2025
Certifiably Optimal Doppler Positioning using Opportunistic LEO Satellites
Baoshan Song
W. Wen
Qi Zhang
Bing Xu
Li-Ta Hsu
44
0
0
21 Sep 2025
A Certifably Correct Algorithm for Generalized Robot-World and Hand-Eye Calibration
Emmett Wise
Pushyami Kaveti
Qilong Chen
Wenhao Wang
Hanumant Singh
Jonathan Kelly
David M. Rosen
Matthew Giamou
109
1
0
30 Jul 2025
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
Sangli Teng
Harry Zhang
David Jin
A. Jasour
Maani Ghaffari
Luca Carlone
318
14
0
07 Mar 2024
Optimal Initialization Strategies for Range-Only Trajectory Estimation
IEEE Robotics and Automation Letters (RA-L), 2023
Abhishek Goudar
Frederike Dumbgen
Timothy D. Barfoot
Angela P. Schoellig
257
10
0
16 Sep 2023
Certifiably Optimal Rotation and Pose Estimation Based on the Cayley Map
Timothy D. Barfoot
Connor T. Holmes
Frederike Dumbgen
185
15
0
23 Aug 2023
User Feedback and Sample Weighting for Ill-Conditioned Hand-Eye Calibration
Markus Horn
Thomas Wodtko
M. Buchholz
Klaus C. J. Dietmayer
68
1
0
11 Aug 2023
Efficient Extrinsic Calibration of Multi-Sensor 3D LiDAR Systems for Autonomous Vehicles using Static Objects Information
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Brahayam Pontón
Magda Ferri
Lars Koenig
Marcus Bartels
3DPC
54
3
0
04 Nov 2022
SCORE: A Second-Order Conic Initialization for Range-Aided SLAM
IEEE International Conference on Robotics and Automation (ICRA), 2022
Alan Papalia
Joseph Morales
Kevin Doherty
David M. Rosen
J. Leonard
120
9
0
06 Oct 2022
Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search
Liangzu Peng
Mahyar Fazlyab
René Vidal
197
2
0
18 Jul 2022
An Efficient Global Optimality Certificate for Landmark-Based SLAM
IEEE Robotics and Automation Letters (RA-L), 2022
Connor T. Holmes
Timothy D. Barfoot
177
21
0
26 Jun 2022
Certifiably Optimal Mutual Localization with Anonymous Bearing Measurements
IEEE Robotics and Automation Letters (RA-L), 2022
Yingjian Wang
Xiangyong Wen
Longjie Yin
Chao Xu
Yanjun Cao
Fei Gao
162
18
0
17 Mar 2022
Globally Optimal Multi-Scale Monocular Hand-Eye Calibration Using Dual Quaternions
International Conference on 3D Vision (3DV), 2021
Thomas Wodtko
Markus Horn
M. Buchholz
Klaus C. J. Dietmayer
117
7
0
12 Jan 2022
Advances in Inference and Representation for Simultaneous Localization and Mapping
David M. Rosen
Kevin Doherty
A. Espinoza
J. Leonard
202
73
0
08 Mar 2021
Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions
IEEE Robotics and Automation Letters (RA-L), 2021
Markus Horn
Thomas Wodtko
M. Buchholz
Klaus C. J. Dietmayer
132
33
0
27 Jan 2021
Fast and Robust Certifiable Estimation of the Relative Pose Between Two Calibrated Cameras
Journal of Mathematical Imaging and Vision (JMIV), 2021
Mercedes Garcia-Salguero
Javier González Jiménez
203
7
0
21 Jan 2021
On the Tightness of Semidefinite Relaxations for Rotation Estimation
Journal of Mathematical Imaging and Vision (JMIV), 2021
Lucas Brynte
Viktor Larsson
J. Iglesias
Carl Olsson
Fredrik Kahl
215
21
0
06 Jan 2021
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
Neural Information Processing Systems (NeurIPS), 2020
Heng Yang
Luca Carlone
202
36
0
11 Jun 2020
Certifiably Optimal Monocular Hand-Eye Calibration
Emmett Wise
Matthew Giamou
Soroush Khoubyarian
Abhinav Grover
Jonathan Kelly
225
24
0
17 May 2020
Sparse Bounded Degree Sum of Squares Optimization for Certifiably Globally Optimal Rotation Averaging
Matthew Giamou
Filip Marić
Valentin Peretroukhin
Jonathan Kelly
137
0
0
02 Apr 2019
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