V. Indelman

发表

Bundle adjustment without iterative structure estimation and its application to navigation

V. Indelman, 2012, Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium.

Distributed Perception and Estimation : a Short Survey

V. Indelman, 2015 .

Probabilistic Qualitative Localization and Mapping

V. Indelman, Roee Mor, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Towards Self-Supervised Semantic Representation with a Viewpoint-Dependent Observation Model

V. Indelman, Yuri Feldman, 2020 .

Introducing PIVOT: Predictive Incremental Variable Ordering Tactic for Efficient Belief Space Planning

V. Indelman, Khen Elimelech, 2019, ISRR.

2 Efficient Decision Making : Fundamentals 2 . 1 Simplified Decision Problems

V. Indelman, Khen Elimelech, 2019 .

Formal and Data Association Aware Robust

A. Abate, Shashank Pathak, V. Indelman, 2016 .

Incremental sparse GP regression for continuous-time trajectory estimation and mapping

Byron Boots, Xinyan Yan, V. Indelman, 2015, Robotics Auton. Syst..

Incremental sparse GP regression for continuous-time trajectory estimation and mapping

Byron Boots, Xinyan Yan, V. Indelman, 2015, Robotics Auton. Syst..

A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers

Julio A. Placed, J. A. Castellanos, L. Carlone, 2022, ArXiv.

Simplified decision making in the belief space using belief sparsification

V. Indelman, Khen Elimelech, 2019, Int. J. Robotics Res..

D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints

V. Indelman, Moshe Shienman, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Hypotheses Disambiguation in Retrospective

V. Indelman, Ohad Shelly, 2022, IEEE Robotics and Automation Letters.

Risk Aware Belief-dependent Constrained POMDP Planning

V. Indelman, A. Zhitnikov, 2022, 2209.02679.

Neural Spectrum Alignment: Empirical Study

V. Indelman, Dmitry Kopitkov, 2019, ICANN.

Vision-based dynamic target trajectory and ego-motion estimation using incremental light bundle adjustment

Vadim Indelman, Michael Chojnacki, M. Chojnacki, 2018 .

General Probabilistic Surface Optimization and Log Density Estimation pdf

Vadim Indelman, Dmitry Kopitkov, V. Indelman, 2019, ArXiv.

A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers

Julio A. Placed, J. A. Castellanos, L. Carlone, 2022, IEEE Transactions on Robotics.

A unified framework for data association aware robust belief space planning and perception

Shashank Pathak, Vadim Indelman, Antony Thomas, 2018, Int. J. Robotics Res..

Robust Active Perception via Data-association aware Belief Space planning pdf

Shashank Pathak, Vadim Indelman, Antony Thomas, 2016, ArXiv.

Epistemic Uncertainty Aware Semantic Localization and Mapping for Inference and Belief Space Planning pdf

Vadim Indelman, Vladimir Tchuiev, V. Indelman, 2021, Artif. Intell..

Bayesian incremental inference update by re-using calculations from belief space planning: a new paradigm pdf

Vadim Indelman, Elad I. Farhi, V. Indelman, 2019, Autonomous Robots.

Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic pdf

Vadim Indelman, Khen Elimelech, V. Indelman, 2021, ArXiv.

FT-BSP: Focused Topological Belief Space Planning

Vadim Indelman, Andrej Kitanov, Moshe Shienman, 2021, IEEE Robotics and Automation Letters.

Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty pdf

Vadim Indelman, Andrey Zhitnikov, V. Indelman, 2021, ArXiv.

General-purpose incremental covariance update and efficient belief space planning via a factor-graph propagation action tree

Vadim Indelman, Dmitry Kopitkov, V. Indelman, 2019, Int. J. Robotics Res..

iX-BSP: Belief Space Planning through Incremental Expectation

Vadim Indelman, Elad I. Farhi, V. Indelman, 2019, 2019 International Conference on Robotics and Automation (ICRA).

No belief propagation required: Belief space planning in high-dimensional state spaces via factor graphs, the matrix determinant lemma, and re-use of calculation

Vadim Indelman, Dmitry Kopitkov, V. Indelman, 2017, Int. J. Robotics Res..

Nonmyopic data association aware belief space planning for robust active perception

Shashank Pathak, Vadim Indelman, Antony Thomas, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Computationally Efficient Belief Space Planning via Augmented Matrix Determinant Lemma and Reuse of Calculations

Vadim Indelman, Dmitry Kopitkov, V. Indelman, 2017, IEEE Robotics and Automation Letters.

Computationally efficient decision making under uncertainty in high-dimensional state spaces

Vadim Indelman, Dmitry Kopitkov, V. Indelman, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

DA-BSP: Towards Data Association Aware Belief Space Planning for Robust Active Perception

Shashank Pathak, Vadim Indelman, Antony Thomas, 2016, ECAI.

Towards information-theoretic decision making in a conservative information space

Vadim Indelman, V. Indelman, 2015, 2015 American Control Conference (ACC).

Planning in the continuous domain: A generalized belief space approach for autonomous navigation in unknown environments

Frank Dellaert, Luca Carlone, Vadim Indelman, 2015, Int. J. Robotics Res..

Planning under uncertainty in the continuous domain: A generalized belief space approach

Frank Dellaert, Luca Carlone, Vadim Indelman, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Information fusion in navigation systems via factor graph based incremental smoothing

Frank Dellaert, Michael Kaess, Vadim Indelman, 2013, Robotics Auton. Syst..

Incremental Light Bundle Adjustment: Probabilistic Analysis and Application to Robotic Navigation

Frank Dellaert, Vadim Indelman, F. Dellaert, 2015 .

Cooperative multi-robot belief space planning for autonomous navigation in unknown environments

Vadim Indelman, V. Indelman, 2017, Autonomous Robots.

DDF-SAM 2.0: Consistent distributed smoothing and mapping

Frank Dellaert, Vadim Indelman, Alexander G. Cunningham, 2013, 2013 IEEE International Conference on Robotics and Automation.

Factor graph based incremental smoothing in inertial navigation systems

Frank Dellaert, Michael Kaess, Vadim Indelman, 2012, 2012 15th International Conference on Information Fusion.

Distributed real-time cooperative localization and mapping using an uncertainty-aware expectation maximization approach

Nathan Michael, Frank Dellaert, Jing Dong, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Adaptive Information Belief Space Planning

V. Indelman, Moran Barenboim, 2022, IJCAI.

Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors

Frank Dellaert, Luca Carlone, Vadim Indelman, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Multi-robot pose graph localization and data association from unknown initial relative poses via expectation maximization

Nathan Michael, Frank Dellaert, Vadim Indelman, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Qualitative Belief Space Planning via Compositions

V. Indelman, I. Zilberman, 2022, IEEE/RJS International Conference on Intelligent RObots and Systems.

Incorporating Compositions in Qualitative Approaches

E. Rivlin, V. Indelman, I. Zilberman, 2022, IEEE Robotics and Automation Letters.

Experience-Based Prediction of Unknown Environments for Enhanced Belief Space Planning

V. Indelman, Omri Asraf, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

iX-BSP: Incremental Belief Space Planning pdf

Vadim Indelman, Elad I. Farhi, V. Indelman, 2021, ArXiv.

An Experimental Study of Robust Distributed Multi-robot Data Association from Arbitrary Poses

Nathan Michael, Frank Dellaert, Vadim Indelman, 2014, ISER.

Risk Aware Adaptive Belief-dependent Probabilistically Constrained Continuous POMDP Planning

V. Indelman, A. Zhitnikov, 2022, 2209.02679.

Spatially-dependent Bayesian semantic perception under model and localization uncertainty

Vadim Indelman, Yuri Feldman, V. Indelman, 2020, Autonomous Robots.

Incremental Distributed Inference from Arbitrary Poses and Unknown Data Association: Using Collaborating Robots to Establish a Common Reference

Nathan Michael, Frank Dellaert, Jing Dong, 2016, IEEE Control Systems.

Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing

Frank Dellaert, John J. Leonard, Michael Kaess, 2014, Int. J. Robotics Res..

Neural Spectrum Alignment

V. Indelman, Dmitry Kopitkov, 2019, ArXiv.

Distributed Consistent Multi-Robot Semantic Localization and Mapping

Vadim Indelman, Vladimir Tchuiev, V. Indelman, 2020, IEEE Robotics and Automation Letters.

Efficient Decision Making and Belief Space Planning using Sparse Approximations

V. Indelman, Khen Elimelech, 2019, ArXiv.

Topological Information-Theoretic Belief Space Planning with Optimality Guarantees pdf

Vadim Indelman, Andrej Kitanov, V. Indelman, 2019, ArXiv.

Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains

V. Indelman, A. Zhitnikov, 2022, Artif. Intell..

Bayesian Viewpoint-Dependent Robust Classification Under Model and Localization Uncertainty

Vadim Indelman, Yuri Feldman, V. Indelman, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Real-Time Vision-Aided Localization and Navigation Based on Three-View Geometry

Ehud Rivlin, Pini Gurfil, Héctor Rotstein, 2012, IEEE Transactions on Aerospace and Electronic Systems.

Incremental light bundle adjustment for structure from motion and robotics

Frank Dellaert, Vadim Indelman, Richard Roberts, 2015, Robotics Auton. Syst..

Incremental Light Bundle Adjustment

Frank Dellaert, Vadim Indelman, Richard Roberts, 2012, BMVC.

Probabilistic analysis of incremental light bundle adjustment

V. Indelman, F. Dellaert, V. Indelman, 2013, 2013 IEEE Workshop on Robot Vision (WORV).

Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints

V. Indelman, Moshe Shienman, 2022, ISRR.

Data Association Aware Semantic Mapping and Localization via a Viewpoint-Dependent Classifier Model

Vadim Indelman, Yuri Feldman, Vladimir Tchuiev, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Decentralized multi-robot belief space planning in unknown environments via identification and efficient re-evaluation of impacted paths

Vadim Indelman, Tal Regev, V. Indelman, 2017, Autonomous Robots.

Decentralized multi-robot belief space planning in unknown environments via identification and efficient re-evaluation of impacted paths

V. Indelman, Tal Regev, 2017, Autonomous Robots.

Multi-robot decentralized belief space planning in unknown environments via efficient re-evaluation of impacted paths

Vadim Indelman, Tal Regev, V. Indelman, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Graph-based distributed cooperative navigation for a general multi-robot measurement model

Ehud Rivlin, Pini Gurfil, Héctor Rotstein, 2012, Int. J. Robotics Res..

Information-based reduced landmark SLAM

Frank Dellaert, Henrik I. Christensen, Vadim Indelman, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Inference Over Distribution of Posterior Class Probabilities for Reliable Bayesian Classification and Object-Level Perception

Vadim Indelman, Vladimir Tchuiev, V. Indelman, 2018, IEEE Robotics and Automation Letters.

Bayesian Information Recovery from CNN for Probabilistic Inference

Vadim Indelman, Dmitry Kopitkov, V. Indelman, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Navigation Aiding Based on Coupled Online Mosaicking and Camera Scanning

Vadim Indelman, Hector Rotstein, Pini Gurfil, 2010 .

Incremental light bundle adjustment for robotics navigation

Frank Dellaert, Andrew Melim, Vadim Indelman, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Efficient Modification of the Upper Triangular Square Root Matrix on Variable Reordering

Vadim Indelman, Khen Elimelech, V. Indelman, 2021, IEEE Robotics and Automation Letters.

Efficient Decision Making and Belief Space Planning using Sparse Approximations pdf

Vadim Indelman, Khen Elimelech, V. Indelman, 2019, ArXiv.

Towards Cooperative Multi-robot Belief Space Planning in Unknown Environments

Vadim Indelman, V. Indelman, 2015, ISRR.