Kevin J. Doherty

30 papers A* 6A 6Misc 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Practical and Performant Enhancements for Maximization of Algebraic Connectivity. CoRR Leonard Jung, Alan Papalia, Kevin J. Doherty, Michael Everett
2024	J	`jnl`	MAC: Maximizing Algebraic Connectivity for Graph Sparsification. CoRR Kevin J. Doherty, Alan Papalia, Yewei Huang, David M. Rosen, Brendan J. Englot, John J. Leonard
2023	A*	`conf`	SCORE: A Second-Order Conic Initialization for Range-Aided SLAM. ICRA Alan Papalia, Joseph Morales, Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	J	`jnl`	Discrete-Continuous Smoothing and Mapping. CoRR Kevin J. Doherty, Ziqi Lu, Kurran Singh, John J. Leonard
2022	J	`jnl`	Discrete-Continuous Smoothing and Mapping. IEEE Robotics Autom. Lett. Kevin J. Doherty, Ziqi Lu, Kurran Singh, John J. Leonard
2022	J	`jnl`	Improving obstacle boundary representations in predictive occupancy mapping. Robotics Auton. Syst. Erik Pearson, Kevin J. Doherty, Brendan J. Englot
2022	A*	`conf`	Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM. ICRA Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	J	`jnl`	Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM. CoRR Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	J	`jnl`	SCORE: A Second-Order Conic Initialization for Range-Aided SLAM. CoRR Alan Papalia, Joseph Morales, Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	A	`conf`	SLAM-Supported Self-Training for 6D Object Pose Estimation. IROS Ziqi Lu, Yihao Zhang, Kevin J. Doherty, Odin Severinsen, Ethan Yang, John J. Leonard
2022	J	`jnl`	SLAM-Supported Self-Training for 6D Object Pose Estimation. CoRR Ziqi Lu, Yihao Zhang, Kevin J. Doherty, Odin Severinsen, Ethan Yang, John J. Leonard
2022	A	`conf`	Spectral Measurement Sparsification for Pose-Graph SLAM. IROS Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	J	`jnl`	Spectral Measurement Sparsification for Pose-Graph SLAM. CoRR Kevin J. Doherty, David M. Rosen, John J. Leonard
2021	A	`conf`	A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM. IROS Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard
2021	J	`jnl`	A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM. CoRR Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard
2021	J	`jnl`	Advances in Inference and Representation for Simultaneous Localization and Mapping. Annu. Rev. Control. Robotics Auton. Syst. David M. Rosen, Kevin J. Doherty, Antonio Terán Espinoza, John J. Leonard
2021	J	`jnl`	Advances in Inference and Representation for Simultaneous Localization and Mapping. CoRR David M. Rosen, Kevin J. Doherty, Antonio Terán Espinoza, John J. Leonard
2021	A	`conf`	Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM. IROS Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard
2021	J	`jnl`	Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM. CoRR Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard
2020	A*	`conf`	Probabilistic Data Association via Mixture Models for Robust Semantic SLAM. ICRA Kevin J. Doherty, David P. Baxter, Edward Schneeweiss, John J. Leonard
2020	A	`conf`	Variational Filtering with Copula Models for SLAM. IROS John D. Martin, Kevin J. Doherty, Caralyn Cyr, Brendan J. Englot, John J. Leonard
2020	J	`jnl`	Variational Filtering with Copula Models for SLAM. CoRR John D. Martin, Kevin J. Doherty, Caralyn Cyr, Brendan J. Englot, John J. Leonard
2019	J	`jnl`	Learning-Aided 3-D Occupancy Mapping With Bayesian Generalized Kernel Inference. IEEE Trans. Robotics Kevin J. Doherty, Tixiao Shan, Jinkun Wang, Brendan J. Englot
2019	A*	`conf`	Multimodal Semantic SLAM with Probabilistic Data Association. ICRA Kevin J. Doherty, Dehann Fourie, John J. Leonard
2019	J	`jnl`	Probabilistic Data Association via Mixture Models for Robust Semantic SLAM. CoRR Kevin J. Doherty, David P. Baxter, Edward Schneeweiss, John J. Leonard
2018	A	`conf`	Approximate Distributed Spatiotemporal Topic Models for Multi-Robot Terrain Characterization. IROS Kevin J. Doherty, Genevieve Flaspohler, Nicholas Roy, Yogesh A. Girdhar
2018	Misc	`conf`	Bayesian Generalized Kernel Inference for Terrain Traversability Mapping. CoRL Tixiao Shan, Jinkun Wang, Brendan J. Englot, Kevin J. Doherty
2017	A*	`conf`	Bayesian generalized kernel inference for occupancy map prediction. ICRA Kevin J. Doherty, Jinkun Wang, Brendan J. Englot
2016	A*	`conf`	Probabilistic map fusion for fast, incremental occupancy mapping with 3D Hilbert maps. ICRA Kevin J. Doherty, Jinkun Wang, Brendan J. Englot
2015	—	`conf`	Inference-Enabled Information-Theoretic Exploration of Continuous Action Spaces. ISRR (2) Shi Bai, Jinkun Wang, Kevin J. Doherty, Brendan J. Englot