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Bundle Adjustment on a Graph Processor
v1v2 (latest)

Bundle Adjustment on a Graph Processor

Computer Vision and Pattern Recognition (CVPR), 2020
6 March 2020
Joseph Ortiz
M. Pupilli
Stefan Leutenegger
Andrew J. Davison
    GNN
ArXiv (abs)PDFHTML

Papers citing "Bundle Adjustment on a Graph Processor"

22 / 22 papers shown
A Taxonomy of Structure from Motion Methods
A Taxonomy of Structure from Motion Methods
Federica Arrigoni
371
2
0
21 May 2025
Distributed Spatial Awareness for Robot Swarms
Distributed Spatial Awareness for Robot Swarms
Simon Jones
Sabine Hauert
259
3
0
11 Nov 2024
Hyperion - A fast, versatile symbolic Gaussian Belief Propagation
  framework for Continuous-Time SLAM
Hyperion - A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM
David Hug
Ignacio Alzugaray
M. Chli
252
10
0
09 Jul 2024
PixRO: Pixel-Distributed Rotational Odometry with Gaussian Belief Propagation
PixRO: Pixel-Distributed Rotational Odometry with Gaussian Belief Propagation
Ignacio Alzugaray
Riku Murai
Andrew J. Davison
354
0
0
14 Jun 2024
Exploiting Chordal Sparsity for Fast Global Optimality with Application to Localization
Exploiting Chordal Sparsity for Fast Global Optimality with Application to Localization
Frederike Dumbgen
Connor T. Holmes
Timothy D. Barfoot
600
3
0
04 Jun 2024
Distributed Simultaneous Localisation and Auto-Calibration using
  Gaussian Belief Propagation
Distributed Simultaneous Localisation and Auto-Calibration using Gaussian Belief PropagationIEEE Robotics and Automation Letters (RA-L), 2024
Riku Murai
Ignacio Alzugaray
Paul H. J. Kelly
Andrew J. Davison
387
13
0
26 Jan 2024
Learning in Deep Factor Graphs with Gaussian Belief Propagation
Learning in Deep Factor Graphs with Gaussian Belief PropagationInternational Conference on Machine Learning (ICML), 2023
Seth Nabarro
Mark van der Wilk
Andrew J Davison
BDL
423
1
0
24 Nov 2023
A Game of Bundle Adjustment -- Learning Efficient Convergence
A Game of Bundle Adjustment -- Learning Efficient ConvergenceIEEE International Conference on Computer Vision (ICCV), 2023
Amir Belder
R. Vivanti
A. Tal
252
6
0
25 Aug 2023
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
Taosha Fan
Joseph Ortiz
Ming Hsiao
Maurizio Monge
Jing Dong
Todd Murphey
Mustafa Mukadam
395
7
0
11 May 2023
Trajectory Smoothing Using GNSS/PDR Integration Via Factor Graph
  Optimization in Urban Canyons
Trajectory Smoothing Using GNSS/PDR Integration Via Factor Graph Optimization in Urban CanyonsIEEE Internet of Things Journal (IEEE IoT J.), 2022
Yihan Zhong
W. Wen
Li-Ta Hsu
142
12
0
29 Dec 2022
Structurally aware 3D gas distribution mapping using belief propagation:
  a real-time algorithm for robotic deployment
Structurally aware 3D gas distribution mapping using belief propagation: a real-time algorithm for robotic deploymentIEEE Transactions on Automation Science and Engineering (T-ASE), 2022
Callum Rhodes
Cunjia Liu
Wen-Hua Chen
323
7
0
14 Dec 2022
Distributing Collaborative Multi-Robot Planning with Gaussian Belief
  Propagation
Distributing Collaborative Multi-Robot Planning with Gaussian Belief PropagationIEEE Robotics and Automation Letters (RA-L), 2022
Aalok Patwardhan
Riku Murai
Andrew J. Davison
387
44
0
22 Mar 2022
Quantum Levenberg--Marquardt Algorithm for optimization in Bundle
  Adjustment
Quantum Levenberg--Marquardt Algorithm for optimization in Bundle Adjustment
Luca Bernecker
A. Idini
171
0
0
04 Mar 2022
RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization
RL-PGO: Reinforcement Learning-based Planar Pose-Graph OptimizationIEEE Control Systems Letters (L-CSS), 2022
Nikolaos Kourtzanidis
Sajad Saeedi
343
4
0
26 Feb 2022
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
Jie Ren
Wenteng Liang
Ran Yan
Kai Zou
Shi-Qian Liu
Xiao Liu
352
18
0
02 Dec 2021
NanoBatch Privacy: Enabling fast Differentially Private learning on the
  IPU
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU
Edward H. Lee
M. M. Krell
Alexander Tsyplikhin
Victoria Rege
E. Colak
Kristen W. Yeom
FedML
218
0
0
24 Sep 2021
Incremental Abstraction in Distributed Probabilistic SLAM Graphs
Incremental Abstraction in Distributed Probabilistic SLAM Graphs
Joseph Ortiz
Talfan Evans
Edgar Sucar
Andrew J. Davison
CLLGNN
238
7
0
13 Sep 2021
A visual introduction to Gaussian Belief Propagation
A visual introduction to Gaussian Belief Propagation
Joseph Ortiz
Talfan Evans
Andrew J. Davison
370
46
0
05 Jul 2021
Hardware-accelerated Simulation-based Inference of Stochastic
  Epidemiology Models for COVID-19
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19ACM Journal on Emerging Technologies in Computing Systems (JETC), 2020
S. Kulkarni
M. M. Krell
Seth Nabarro
C. A. Moritz
168
9
0
23 Dec 2020
Ego-Motion Alignment from Face Detections for Collaborative Augmented
  Reality
Ego-Motion Alignment from Face Detections for Collaborative Augmented Reality
Branislav Micusík
Georgios Evangelidis
CVBM
182
1
0
05 Oct 2020
Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment
  in Visual SLAM
Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM
Yipu Zhao
Justin S. Smith
Patricio A. Vela
269
12
0
23 Aug 2020
FutureMapping 2: Gaussian Belief Propagation for Spatial AI
FutureMapping 2: Gaussian Belief Propagation for Spatial AI
Andrew J. Davison
Joseph Ortiz
514
52
0
30 Oct 2019
1
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