No compromise in solution quality: Speeding up belief-dependent continuous partially observable Markov decision processes via adaptive multilevel simplification - Andrey Zhitnikov; Ori Sztyglic; Vadim Indelman (Int. J. Robotics Res., 2025)

Online Hybrid-Belief POMDP with Coupled Semantic-Geometric Models and Semantic Safety Awareness - Tuvy Lemberg; Vadim Indelman (CoRR, 2025)

Anytime Incremental \(ρ\)POMDP Planning in Continuous Spaces - Ron Benchetrit; Idan Lev-Yehudi; Andrey Zhitnikov; Vadim Indelman (CoRR, 2025)

Value Gradients with Action Adaptive Search Trees in Continuous (PO)MDPs - Idan Lev-Yehudi; Michael Novitsky; Moran Barenboim; Ron Benchetrit; Vadim Indelman (CoRR, 2025)

Topological belief space planning for active SLAM with pairwise Gaussian potentials and performance guarantees - Andrej Kitanov; Vadim Indelman (Int. J. Robotics Res., 2024)

Simplified Continuous High-Dimensional Belief Space Planning With Adaptive Probabilistic Belief-Dependent Constraints - Andrey Zhitnikov; Vadim Indelman (IEEE Trans. Robotics, 2024)

Measurement Simplification in \rho-POMDP with Performance Guarantees - Tom Yotam; Vadim Indelman (IEEE Trans. Robotics, 2024)

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice - Idan Lev-Yehudi; Moran Barenboim; Vadim Indelman (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Multi-Robot Communication-Aware Cooperative Belief Space Planning with Inconsistent Beliefs: An Action-Consistent Approach - Tanmoy Kundu; Moshe Rafaeli; Vadim Indelman (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces - Moshe Shienman; Ohad Levy-Or; Michael Kaess; Vadim Indelman (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

Multi-Robot Communication-Aware Cooperative Belief Space Planning with Inconsistent Beliefs: An Action-Consistent Approach - Tanmoy Kundu; Moshe Rafaeli; Vadim Indelman (CoRR, 2024)

A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces - Moshe Shienman; Ohad Levy-Or; Michael Kaess; Vadim Indelman (CoRR, 2024)

Simplification of Risk Averse POMDPs with Performance Guarantees - Yaacov Pariente; Vadim Indelman (CoRR, 2024)

Simplified POMDP Planning with an Alternative Observation Space and Formal Performance Guarantees - Da Kong; Vadim Indelman (CoRR, 2024)

Anytime Probabilistically Constrained Provably Convergent Online Belief Space Planning - Andrey Zhitnikov; Vadim Indelman (CoRR, 2024)

Previous Knowledge Utilization In Online Anytime Belief Space Planning - Michael Novitsky; Moran Barenboim; Vadim Indelman (CoRR, 2024)

Epistemic uncertainty aware semantic localization and mapping for inference and belief space planning - Vladimir Tchuiev; Vadim Indelman (Artif. Intell., 2023)

Monte Carlo Planning in Hybrid Belief POMDPs - Moran Barenboim; Moshe Shienman; Vadim Indelman (IEEE Robotics Autom. Lett., 2023)

Data Association Aware POMDP Planning With Hypothesis Pruning Performance Guarantees - Moran Barenboim; Idan Lev-Yehudi; Vadim Indelman (IEEE Robotics Autom. Lett., 2023)

A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers - Julio A. Placed; Jared Strader; Henry Carrillo; Nikolay Atanasov; Vadim Indelman; Luca Carlone; José A. Castellanos (IEEE Trans. Robotics, 2023)

Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract) - Andrey Zhitnikov; Vadim Indelman (Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, 2023)

Online POMDP Planning with Anytime Deterministic Guarantees - Moran Barenboim; Vadim Indelman (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints - Andrey Zhitnikov; Vadim Indelman (CoRR, 2023)

Probabilistic Qualitative Localization and Mapping - Roee Mor; Vadim Indelman (CoRR, 2023)

Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees - Moran Barenboim; Idan Lev-Yehudi; Vadim Indelman (CoRR, 2023)

Measurement Simplification in \(ρ\)-POMDP with Performance Guarantees - Tom Yotam; Vadim Indelman (CoRR, 2023)

Online POMDP Planning with Anytime Deterministic Guarantees - Moran Barenboim; Vadim Indelman (CoRR, 2023)

No Compromise in Solution Quality: Speeding Up Belief-dependent Continuous POMDPs via Adaptive Multilevel Simplification - Andrey Zhitnikov; Ori Sztyglic; Vadim Indelman (CoRR, 2023)

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice - Idan Lev-Yehudi; Moran Barenboim; Vadim Indelman (CoRR, 2023)

Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains - Andrey Zhitnikov; Vadim Indelman (Artif. Intell., 2022)

Bayesian incremental inference update by re-using calculations from belief space planning: a new paradigm - Elad I. Farhi; Vadim Indelman (Auton. Robots, 2022)

Simplified decision making in the belief space using belief sparsification - Khen Elimelech; Vadim Indelman (Int. J. Robotics Res., 2022)

Hypotheses Disambiguation in Retrospective - Ohad Shelly; Vadim Indelman (IEEE Robotics Autom. Lett., 2022)

Incorporating Compositions in Qualitative Approaches - Itai Zilberman; Ehud Rivlin; Vadim Indelman (IEEE Robotics Autom. Lett., 2022)

D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints - Moshe Shienman; Vadim Indelman (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

Adaptive Information Belief Space Planning - Moran Barenboim; Vadim Indelman (Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, 2022)

Qualitative Belief Space Planning via Compositions - Itai Zilberman; Vadim Indelman (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Speeding up POMDP Planning via Simplification - Ori Sztyglic; Vadim Indelman (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM - Tuvy Lemberg; Vadim Indelman (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints - Moshe Shienman; Vadim Indelman (Robotics Research - The 20th International Symposium ISRR 2022, Geneva, Switzerland, 25-30 September 2022, 2022)

Adaptive Information Belief Space Planning - Moran Barenboim; Vadim Indelman (CoRR, 2022)

D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints - Moshe Shienman; Vadim Indelman (CoRR, 2022)

A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers - Julio A. Placed; Jared Strader; Henry Carrillo; Nikolay Atanasov; Vadim Indelman; Luca Carlone; José A. Castellanos (CoRR, 2022)

Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints - Moshe Shienman; Vadim Indelman (CoRR, 2022)

Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM - Tuvy Lemberg; Vadim Indelman (CoRR, 2022)

Risk Aware Belief-dependent Constrained POMDP Planning - Andrey Zhitnikov; Vadim Indelman (CoRR, 2022)

involve-MI: Informative Planning with High-Dimensional Non-Parametric Beliefs - Gilad Rotman; Vadim Indelman (CoRR, 2022)

Monte Carlo Planning in Hybrid Belief POMDPs - Moran Barenboim; Moshe Shienman; Vadim Indelman (CoRR, 2022)

Efficient Modification of the Upper Triangular Square Root Matrix on Variable Reordering - Khen Elimelech; Vadim Indelman (IEEE Robotics Autom. Lett., 2021)

FT-BSP: Focused Topological Belief Space Planning - Moshe Shienman; Andrej Kitanov; Vadim Indelman (IEEE Robotics Autom. Lett., 2021)

iX-BSP: Incremental Belief Space Planning - Elad I. Farhi; Vadim Indelman (CoRR, 2021)

Online POMDP Planning via Simplification - Ori Sztyglic; Vadim Indelman (CoRR, 2021)

Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty - Andrey Zhitnikov; Vadim Indelman (CoRR, 2021)

Epistemic Uncertainty Aware Semantic Localization and Mapping for Inference and Belief Space Planning - Vladimir Tchuiev; Vadim Indelman (CoRR, 2021)

Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency - Ori Sztyglic; Andrey Zhitnikov; Vadim Indelman (CoRR, 2021)

Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic - Khen Elimelech; Vadim Indelman (CoRR, 2021)

Spatially-dependent Bayesian semantic perception under model and localization uncertainty - Yuri Feldman; Vadim Indelman (Auton. Robots, 2020)

Distributed Consistent Multi-Robot Semantic Localization and Mapping - Vladimir Tchuiev; Vadim Indelman (IEEE Robotics Autom. Lett., 2020)

Neural Spectrum Alignment: Empirical Study - Dmitry Kopitkov; Vadim Indelman (Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part II, 2020)

Probabilistic Qualitative Localization and Mapping - Roee Mor; Vadim Indelman (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

Experience-Based Prediction of Unknown Environments for Enhanced Belief Space Planning - Omri Asraf; Vadim Indelman (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

Distributed Consistent Multi-Robot Semantic Localization and Mapping - Vladimir Tchuiev; Vadim Indelman (CoRR, 2020)

General-purpose incremental covariance update and efficient belief space planning via a factor-graph propagation action tree - Dmitry Kopitkov; Vadim Indelman (Int. J. Robotics Res., 2019)

iX-BSP: Belief Space Planning through Incremental Expectation - Elad I. Farhi; Vadim Indelman (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Data Association Aware Semantic Mapping and Localization via a Viewpoint-Dependent Classifier Model - Vladimir Tchuiev; Yuri Feldman; Vadim Indelman (2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, 2019)

Introducing PIVOT: Predictive Incremental Variable Ordering Tactic for Efficient Belief Space Planning - Khen Elimelech; Vadim Indelman (Robotics Research - The 19th International Symposium ISRR 2019, Hanoi, Vietnam, October 6-10, 2019, 2019)

Topological Information-Theoretic Belief Space Planning with Optimality Guarantees - Andrej Kitanov; Vadim Indelman (CoRR, 2019)

General Probabilistic Surface Optimization and Log Density Estimation - Dmitry Kopitkov; Vadim Indelman (CoRR, 2019)

General Purpose Incremental Covariance Update and Efficient Belief Space Planning via Factor-Graph Propagation Action Tree - Dmitry Kopitkov; Vadim Indelman (CoRR, 2019)

Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm - Elad I. Farhi; Vadim Indelman (CoRR, 2019)

Efficient Decision Making and Belief Space Planning using Sparse Approximations - Khen Elimelech; Vadim Indelman (CoRR, 2019)

Neural Spectrum Alignment - Dmitry Kopitkov; Vadim Indelman (CoRR, 2019)

Cooperative multi-robot belief space planning for autonomous navigation in unknown environments - Vadim Indelman (Auton. Robots, 2018)

Decentralized multi-robot belief space planning in unknown environments via identification and efficient re-evaluation of impacted paths - Tal Regev; Vadim Indelman (Auton. Robots, 2018)

A unified framework for data association aware robust belief space planning and perception - Shashank Pathak; Antony Thomas; Vadim Indelman (Int. J. Robotics Res., 2018)

BAFS: Bundle Adjustment With Feature Scale Constraints for Enhanced Estimation Accuracy - Vladimir Ovechkin; Vadim Indelman (IEEE Robotics Autom. Lett., 2018)

Inference Over Distribution of Posterior Class Probabilities for Reliable Bayesian Classification and Object-Level Perception - Vladimir Tchuiev; Vadim Indelman (IEEE Robotics Autom. Lett., 2018)

Bayesian Viewpoint-Dependent Robust Classification Under Model and Localization Uncertainty - Yuri Feldman; Vadim Indelman (2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, 2018)

Topological Multi-Robot Belief Space Planning in Unknown Environments - Andrej Kitanov; Vadim Indelman (2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, 2018)

Bayesian Information Recovery from CNN for Probabilistic Inference - Dmitry Kopitkov; Vadim Indelman (2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 2018)

Deep PDF: Probabilistic Surface Optimization and Density Estimation - Dmitry Kopitkov; Vadim Indelman (CoRR, 2018)

No belief propagation required: Belief space planning in high-dimensional state spaces via factor graphs, the matrix determinant lemma, and re-use of calculation - Dmitry Kopitkov; Vadim Indelman (Int. J. Robotics Res., 2017)

Computationally Efficient Belief Space Planning via Augmented Matrix Determinant Lemma and Reuse of Calculations - Dmitry Kopitkov; Vadim Indelman (IEEE Robotics Autom. Lett., 2017)

Incremental sparse GP regression for continuous-time trajectory estimation and mapping - Xinyan Yan; Vadim Indelman; Byron Boots (Robotics Auton. Syst., 2017)

Consistent sparsification for efficient decision making under uncertainty in high dimensional state spaces - Khen Elimelech; Vadim Indelman (2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017)

Towards efficient inference update through planning via JIP - Joint inference and belief space planning - Elad I. Farhi; Vadim Indelman (2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017)

Nonmyopic data association aware belief space planning for robust active perception - Shashank Pathak; Antony Thomas; Vadim Indelman (2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017)

Active online visual-inertial navigation and sensor calibration via belief space planning and factor graph based incremental smoothing - Yair Ben Elisha; Vadim Indelman (2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, 2017)

Scalable sparsification for efficient decision making under uncertainty in high dimensional state spaces - Khen Elimelech; Vadim Indelman (2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017, 2017)

Fast Action Elimination for Efficient Decision Making and Belief Space Planning Using Bounded Approximations - Khen Elimelech; Vadim Indelman (Robotics Research, The 18th International Symposium, ISRR 2017, Puerto Varas, Chile, December 11-14, 2017, 2017)

No Correlations Involved: Decision Making Under Uncertainty in a Conservative Sparse Information Space - Vadim Indelman (IEEE Robotics Autom. Lett., 2016)

DA-BSP: Towards Data Association Aware Belief Space Planning for Robust Active Perception - Shashank Pathak; Antony Thomas; Asaf Feniger; Vadim Indelman (ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016), 2016)

Computationally efficient decision making under uncertainty in high-dimensional state spaces - Dmitry Kopitkov; Vadim Indelman (2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, 2016)

Multi-robot decentralized belief space planning in unknown environments via efficient re-evaluation of impacted paths - Tal Regev; Vadim Indelman (2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016, 2016)

Formal and Data Association Aware Robust Belief Space Planning - Shashank Pathak; Sadegh Esmaeil Zadeh Soudjani; Vadim Indelman; Alessandro Abate (STAIRS 2016 - Proceedings of the Eighth European Starting AI Researcher Symposium, The Hague, The Netherlands, August 29-30, 2016, 2016)

Robust Active Perception via Data-association aware Belief Space planning - Shashank Pathak; Antony Thomas; Asaf Feniger; Vadim Indelman (CoRR, 2016)

Planning in the continuous domain: A generalized belief space approach for autonomous navigation in unknown environments - Vadim Indelman; Luca Carlone; Frank Dellaert (Int. J. Robotics Res., 2015)

Incremental light bundle adjustment for structure from motion and robotics - Vadim Indelman; Richard Roberts; Frank Dellaert (Robotics Auton. Syst., 2015)

Towards information-theoretic decision making in a conservative information space - Vadim Indelman (American Control Conference, ACC 2015, Chicago, IL, USA, July 1-3, 2015, 2015)

Information-based reduced landmark SLAM - Siddharth Choudhary; Vadim Indelman; Henrik I. Christensen; Frank Dellaert (IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, 2015)

Distributed real-time cooperative localization and mapping using an uncertainty-aware expectation maximization approach - Jing Dong; Erik Nelson; Vadim Indelman; Nathan Michael; Frank Dellaert (IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, 26-30 May, 2015, 2015)

Towards multi-robot active collaborative state estimation via belief space planning - Vadim Indelman (2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015, Hamburg, Germany, September 28 - October 2, 2015, 2015)

Towards Cooperative Multi-robot Belief Space Planning in Unknown Environments - Vadim Indelman (Robotics Research, Proceedings of the 17th International Symposium of Robotics Research, ISRR 2015, Sestri Levante, Italy, September 12-15, 2015, Volume 1, 2015)

Incremental Sparse GP Regression for Continuous-Time Trajectory Estimation and Mapping - Xinyan Yan; Vadim Indelman; Byron Boots (Robotics Research, Proceedings of the 17th International Symposium of Robotics Research, ISRR 2015, Sestri Levante, Italy, September 12-15, 2015, Volume 2, 2015)

Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping - Xinyan Yan; Vadim Indelman; Byron Boots (CoRR, 2015)

Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing - Stephen Williams; Vadim Indelman; Michael Kaess; Richard Roberts; John J. Leonard; Frank Dellaert (Int. J. Robotics Res., 2014)

Multi-robot pose graph localization and data association from unknown initial relative poses via expectation maximization - Vadim Indelman; Erik Nelson; Nathan Michael; Frank Dellaert (2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, 2014)

Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors - Luca Carlone; Zsolt Kira; Chris Beall; Vadim Indelman; Frank Dellaert (2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, 2014)

Planning under uncertainty in the continuous domain: A generalized belief space approach - Vadim Indelman; Luca Carlone; Frank Dellaert (2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, 2014)

An Experimental Study of Robust Distributed Multi-robot Data Association from Arbitrary Poses - Erik Nelson; Vadim Indelman; Nathan Michael; Frank Dellaert (Experimental Robotics - The 14th International Symposium on Experimental Robotics, ISER 2014, June 15-18, 2014, Marrakech and Essaouira, Morocco, 2014)

Information fusion in navigation systems via factor graph based incremental smoothing - Vadim Indelman; Stephen Williams; Michael Kaess; Frank Dellaert (Robotics Auton. Syst., 2013)

DDF-SAM 2.0: Consistent distributed smoothing and mapping - Alexander Cunningham; Vadim Indelman; Frank Dellaert (2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, 2013)

Incremental light bundle adjustment for robotics navigation - Vadim Indelman; Andrew Melim; Frank Dellaert (2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2013, Tokyo, Japan, November 3-7, 2013, 2013)

Towards Planning in Generalized Belief Space - Vadim Indelman; Luca Carlone; Frank Dellaert (Robotics Research - The 16th International Symposium ISRR, 16-19 December 2013, Singapore, 2013)

Graph-based distributed cooperative navigation for a general multi-robot measurement model - Vadim Indelman; Pini Gurfil; Ehud Rivlin; Héctor Rotstein (Int. J. Robotics Res., 2012)

Distributed vision-aided cooperative localization and navigation based on three-view geometry - Vadim Indelman; Pini Gurfil; Ehud Rivlin; Héctor Rotstein (Robotics Auton. Syst., 2012)

Real-Time Vision-Aided Localization and Navigation Based on Three-View Geometry - Vadim Indelman; Pini Gurfil; Ehud Rivlin; Héctor Rotstein (IEEE Trans. Aerosp. Electron. Syst., 2012)

Incremental Light Bundle Adjustment - Vadim Indelman; Richard Roberts; Chris Beall; Frank Dellaert (British Machine Vision Conference, BMVC 2012, Surrey, UK, September 3-7, 2012, 2012)

Concurrent filtering and smoothing - Michael Kaess; Stephen Williams; Vadim Indelman; Richard Roberts; John J. Leonard; Frank Dellaert (15th International Conference on Information Fusion, FUSION 2012, Singapore, July 9-12, 2012, 2012)

Factor graph based incremental smoothing in inertial navigation systems - Vadim Indelman; Stephen Williams; Michael Kaess; Frank Dellaert (15th International Conference on Information Fusion, FUSION 2012, Singapore, July 9-12, 2012, 2012)

Consistent decentralized graphical SLAM with anti-factor down-dating - Alexander Cunningham; Vadim Indelman; Frank Dellaert (IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2012, College Station, TX, USA, November 5-8, 2012, 2012)

Graph-based distributed cooperative navigation - Vadim Indelman; Pini Gurfil; Ehud Rivlin; Héctor Rotstein (IEEE International Conference on Robotics and Automation, ICRA 2011, Shanghai, China, 9-13 May 2011, 2011)