David M. Rosen

According to our database, David M. Rosen authored at least 25 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MAC: Maximizing Algebraic Connectivity for Graph Sparsification.

Kevin J. Doherty, Alan Papalia, Yewei Huang, David M. Rosen, Brendan J. Englot, John J. Leonard

CoRR, 2024

2023

Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows.

Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard

IEEE Trans. Robotics, April, 2023

OASIS: Optimal Arrangements for Sensing in SLAM.

Pushyami Kaveti, Matthew Giamou, Hanumant Singh, David M. Rosen

CoRR, 2023

Certifiably Correct Range-Aided SLAM.

Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard

CoRR, 2023

SCORE: A Second-Order Conic Initialization for Range-Aided SLAM.

Alan Papalia, Joseph Morales, Kevin J. Doherty, David M. Rosen, John J. Leonard

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

2022

Accelerating Certifiable Estimation with Preconditioned Eigensolvers.

David M. Rosen

IEEE Robotics Autom. Lett., 2022

Convex Iteration for Distance-Geometric Inverse Kinematics.

Matthew Giamou, Filip Maric, David M. Rosen, Valentin Peretroukhin, Nicholas Roy, Ivan Petrovic, Jonathan Kelly

IEEE Robotics Autom. Lett., 2022

Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation.

Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How

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

Spectral Measurement Sparsification for Pose-Graph SLAM.

Kevin J. Doherty, David M. Rosen, John J. Leonard

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

Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM.

Kevin J. Doherty, David M. Rosen, John J. Leonard

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

2021

Distributed Certifiably Correct Pose-Graph Optimization.

Yulun Tian, Kasra Khosoussi, David M. Rosen, Jonathan P. How

IEEE Trans. Robotics, 2021

Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows.

Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard

CoRR, 2021

Advances in Inference and Representation for Simultaneous Localization and Mapping.

David M. Rosen, Kevin J. Doherty, Antonio Terán Espinoza, John J. Leonard

Annu. Rev. Control. Robotics Auton. Syst., 2021

Scalable Low-Rank Semidefinite Programming for Certifiably Correct Machine Perception.

David M. Rosen

Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

2020

A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty.

Valentin Peretroukhin, Matthew Giamou, W. Nicholas Greene, David M. Rosen, Jonathan Kelly, Nicholas Roy

Proceedings of the Robotics: Science and Systems XVI, 2020

Shonan Rotation Averaging: Global Optimality by Surfing SO(p)ⁿ.

Frank Dellaert, David M. Rosen, Jing Wu, Robert E. Mahony, Luca Carlone

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

SE-Sync: A certifiably correct algorithm for synchronization over the special Euclidean group.

David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard

Int. J. Robotics Res., 2019

2016

A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group.

David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard

Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Towards lifelong feature-based mapping in semi-static environments.

David M. Rosen, Julian Mason, John J. Leonard

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Lagrangian duality in 3D SLAM: Verification techniques and optimal solutions.

Luca Carlone, David M. Rosen, Giuseppe Carlo Calafiore, John J. Leonard, Frank Dellaert

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

A convex relaxation for approximate global optimization in simultaneous localization and mapping.

David M. Rosen, Charles DuHadway, John J. Leonard

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation.

David M. Rosen, Michael Kaess, John J. Leonard

IEEE Trans. Robotics, 2014

Inference over heterogeneous finite-/infinite-dimensional systems using factor graphs and Gaussian processes.

David M. Rosen, Guoquan Huang, John J. Leonard

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Robust incremental online inference over sparse factor graphs: Beyond the Gaussian case.

David M. Rosen, Michael Kaess, John J. Leonard

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

An incremental trust-region method for Robust online sparse least-squares estimation.

David M. Rosen, Michael Kaess, John J. Leonard

Proceedings of the IEEE International Conference on Robotics and Automation, 2012