John J. Leonard

253 papers A* 54A 42B 1C 8Misc 3Journal 113Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NeuSE: Neural SE(3)-equivariant embedding for long-term object-based simultaneous localization and mapping. Int. J. Robotics Res. Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard
2025	J	`jnl`	3DGS-CD: 3D Gaussian Splatting-Based Change Detection for Physical Object Rearrangement. IEEE Robotics Autom. Lett. Ziqi Lu, Jianbo Ye, John J. Leonard
2025	A*	`conf`	Computational Teaching for Driving via Multi-Task Imitation Learning. ICRA Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John J. Leonard, Tiffany L. Chen, Guy Rosman, Avinash Balachandran
2025	A*	`conf`	Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching. ICRA Kurran Singh, John J. Leonard
2025	A*	`conf`	SeaSplat: Representing Underwater Scenes with 3D Gaussian Splatting and a Physically Grounded Image Formation Model. ICRA Daniel Yang, John J. Leonard, Yogesh A. Girdhar
2025	A	`conf`	Semantic Enhancement for Object SLAM with Heterogeneous Multimodal Large Language Model Agents. IROS Jungseok Hong, Ran Choi, John J. Leonard
2025	J	`jnl`	ShapeICP: Iterative Category-Level Object Pose and Shape Estimation From Depth. IEEE Robotics Autom. Lett. Yihao Zhang, Harpreet S. Sawhney, John J. Leonard
2024	J	`jnl`	3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangement. CoRR Ziqi Lu, Jianbo Ye, John J. Leonard
2024	J	`jnl`	An Overview of the Burer-Monteiro Method for Certifiable Robot Perception. CoRR Alan Papalia, Yulun Tian, David M. Rosen, Jonathan P. How, John J. Leonard
2024	J	`jnl`	Certifiably Correct Range-Aided SLAM. IEEE Trans. Robotics Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard
2024	J	`jnl`	Computational Teaching for Driving via Multi-Task Imitation Learning. CoRR Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John J. Leonard, Tiffany L. Chen, Guy Rosman, Avinash Balachandran
2024	J	`jnl`	LOSS-SLAM: Lightweight Open-Set Semantic Simultaneous Localization and Mapping. CoRR Kurran Singh, Tim Magoun, John J. Leonard
2024	Misc	`conf`	Learning Visual Parkour from Generated Images. CoRL Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John J. Leonard, Phillip Isola
2024	J	`jnl`	Learning Visual Parkour from Generated Images. CoRR Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John J. Leonard, Phillip Isola
2024	J	`jnl`	Learning from Feedback: Semantic Enhancement for Object SLAM Using Foundation Models. CoRR Jungseok Hong, Ran Choi, John J. Leonard
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
2024	J	`jnl`	Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching. CoRR Kurran Singh, John J. Leonard
2024	A	`conf`	Opti-Acoustic Semantic SLAM with Unknown Objects in Underwater Environments. IROS Kurran Singh, Jungseok Hong, Nicholas R. Rypkema, John J. Leonard
2024	J	`jnl`	Opti-Acoustic Semantic SLAM with Unknown Objects in Underwater Environments. CoRR Kurran Singh, Jungseok Hong, Nicholas R. Rypkema, John J. Leonard
2024	J	`jnl`	SeaSplat: Representing Underwater Scenes with 3D Gaussian Splatting and a Physically Grounded Image Formation Model. CoRR Daniel Yang, John J. Leonard, Yogesh A. Girdhar
2024	J	`jnl`	ShapeICP: Iterative Category-level Object Pose and Shape Estimation from Depth. CoRR Yihao Zhang, John J. Leonard
2023	J	`jnl`	Certifiably Correct Range-Aided SLAM. CoRR Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard
2023	A*	`conf`	Data-Association-Free Landmark-based SLAM. ICRA Yihao Zhang, Odin A. Severinsen, John J. Leonard, Luca Carlone, Kasra Khosoussi
2023	J	`jnl`	Data-Association-Free Landmark-based SLAM. CoRR Yihao Zhang, Odin A. Severinsen, John J. Leonard, Luca Carlone, Kasra Khosoussi
2023	J	`jnl`	GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman
2023	A	`conf`	GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM. IROS Qiangqiang Huang, John J. Leonard
2023	J	`jnl`	GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM. CoRR Qiangqiang Huang, John J. Leonard
2023	J	`jnl`	Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. IEEE Trans. Robotics Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
2023	A	`conf`	NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. IROS Antoni Rosinol, John J. Leonard, Luca Carlone
2023	—	`conf`	NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects. Robotics: Science and Systems Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard
2023	J	`jnl`	NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects. CoRR Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard
2023	J	`jnl`	Optimizing Fiducial Marker Placement for Improved Visual Localization. IEEE Robotics Autom. Lett. Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard
2023	A	`conf`	Probabilistic Volumetric Fusion for Dense Monocular SLAM. WACV Antoni Rosinol, John J. Leonard, Luca Carlone
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`	AUV-Assisted Diver Navigation. IEEE Robotics Autom. Lett. Jesse R. Pelletier, Brendan W. O'Neill, John J. Leonard, Lee Freitag, Eric Gallimore
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	A*	`conf`	HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2022	J	`jnl`	NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. CoRR Antoni Rosinol, John J. Leonard, Luca Carlone
2022	J	`jnl`	Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs. IEEE Robotics Autom. Lett. Qiangqiang Huang, Alan Papalia, John J. Leonard
2022	J	`jnl`	Optimizing Fiducial Marker Placement for Improved Visual Localization. CoRR Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard
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`	PlaneSDF-Based Change Detection for Long-Term Dense Mapping. IEEE Robotics Autom. Lett. Jiahui Fu, Chengyuan Lin, Yuichi Taguchi, Andrea Cohen, Yifu Zhang, Stephen Mylabathula, John J. Leonard
2022	J	`jnl`	PlaneSDF-based Change Detection for Long-term Dense Mapping. CoRR Jiahui Fu, Chengyuan Lin, Yuichi Taguchi, Andrea Cohen, Yifu Zhang, Stephen Mylabathula, John J. Leonard
2022	A*	`conf`	Prioritized Planning for Cooperative Range-Only Localization in Multi-Robot Networks. ICRA Alan Papalia, Nicole Thumma, John J. Leonard
2022	J	`jnl`	Probabilistic Volumetric Fusion for Dense Monocular SLAM. CoRR Antoni Rosinol, John J. Leonard, Luca Carlone
2022	A	`conf`	Robust Change Detection Based on Neural Descriptor Fields. IROS Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard
2022	J	`jnl`	Robust Change Detection Based on Neural Descriptor Fields. CoRR Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, 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
2022	A	`conf`	TIP: Task-Informed Motion Prediction for Intelligent Vehicles. IROS Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2022	A*	`conf`	Trajectory Prediction with Linguistic Representations. ICRA Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
2021	A*	`conf`	A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior. ICRA Yihao Zhang, John J. Leonard
2021	J	`jnl`	A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior. CoRR Yihao Zhang, 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`	Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation. IROS Yihao Zhang, John J. Leonard
2021	J	`jnl`	Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation. CoRR Yihao Zhang, John J. Leonard
2021	J	`jnl`	CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
2021	C	`conf`	Characterizing Marginalization and Incremental Operations on the Bayes Tree. WAFR Dehann Fourie, Antonio Terán Espinoza, Michael Kaess, 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
2021	J	`jnl`	HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2021	A*	`conf`	Lidar-Monocular Surface Reconstruction Using Line Segments. ICRA Victor Amblard, Timothy P. Osedach, Arnaud Croux, Andrew Speck, John J. Leonard
2021	J	`jnl`	Lidar-Monocular Surface Reconstruction Using Line Segments. CoRR Victor Amblard, Timothy P. Osedach, Arnaud Croux, Andrew Speck, John J. Leonard
2021	—	`conf`	MAAD: A Model and Dataset for "Attended Awareness" in Driving. ICCVW Deepak E. Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard
2021	J	`jnl`	MAAD: A Model and Dataset for "Attended Awareness" in Driving. CoRR Deepak E. Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard
2021	A*	`conf`	NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. ICRA Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard
2021	J	`jnl`	NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. CoRR Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard
2021	J	`jnl`	On Reference Solutions to Non-Gaussian SLAM Factor Graphs. CoRR Qiangqiang Huang, Alan Papalia, John J. Leonard
2021	J	`jnl`	Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. CoRR Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
2021	J	`jnl`	Prioritized Planning for Cooperative Range-Only Localization in Multi-Robot Networks. CoRR Alan Papalia, Nicole Thumma, John J. Leonard
2021	J	`jnl`	Sim2Real in Robotics and Automation: Applications and Challenges. IEEE Trans Autom. Sci. Eng. Sebastian Höfer, Kostas E. Bekris, Ankur Handa, Juan Camilo Gamboa, Melissa Mozifian, Florian Golemo, Christopher G. Atkeson, Dieter Fox, Ken Goldberg, John J. Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White
2021	J	`jnl`	TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2021	J	`jnl`	Trajectory Prediction with Linguistic Representations. CoRR Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
2020	J	`jnl`	CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
2020	J	`jnl`	DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
2020	J	`jnl`	Network Localization Based Planning for Autonomous Underwater Vehicles with Inter-Vehicle Ranging. CoRR Alan Papalia, John J. Leonard
2020	J	`jnl`	Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop. CoRR Sebastian Höfer, Kostas E. Bekris, Ankur Handa, Juan Camilo Gamboa Higuera, Florian Golemo, Melissa Mozifian, Christopher G. Atkeson, Dieter Fox, Ken Goldberg, John J. Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White
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`	Towards Real-Time Non-Gaussian SLAM for Underdetermined Navigation. IROS Dehann Fourie, Nicholas R. Rypkema, Pedro Vaz Teixeira, Samuel Claassens, Erin M. Fischell, 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	A	`conf`	Dense, Sonar-based Reconstruction of Underwater Scenes. IROS Pedro V. Teixeira, Dehann Fourie, Michael Kaess, John J. Leonard
2019	J	`jnl`	Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
2019	A*	`conf`	Multimodal Semantic SLAM with Probabilistic Data Association. ICRA Kevin J. Doherty, Dehann Fourie, John J. Leonard
2019	A*	`conf`	Non-Gaussian SLAM utilizing Synthetic Aperture Sonar. ICRA Mei Yi Cheung, Dehann Fourie, Nicholas R. Rypkema, Pedro Vaz Teixeira, Henrik R. Schmidt, John J. Leonard
2019	A	`conf`	Non-parametric Mixed-Manifold Products using Multiscale Kernel Densities. IROS Dehann Fourie, Pedro Vaz Teixeira, 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
2019	J	`jnl`	Probabilistic Risk Metrics for Navigating Occluded Intersections. IEEE Robotics Autom. Lett. Stephen G. McGill, Guy Rosman, Teddy Ort, Alyssa Pierson, Igor Gilitschenski, Brandon Araki, Luke Fletcher, Sertac Karaman, Daniela Rus, John J. Leonard
2019	J	`jnl`	Quantifying protocol evaluation for autonomous collision avoidance - Toward establishing COLREGS compliance metrics. Auton. Robots Kyle Woerner, Michael R. Benjamin, Michael Novitzky, John J. Leonard
2019	J	`jnl`	SE-Sync: A certifiably correct algorithm for synchronization over the special Euclidean group. Int. J. Robotics Res. David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard
2019	J	`jnl`	Self-Supervised Visual Place Recognition Learning in Mobile Robots. CoRR Sudeep Pillai, John J. Leonard
2019	J	`jnl`	Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field]. IEEE Robotics Autom. Mag. Lee E. Clement, Valentin Peretroukhin, Matthew Giamou, John J. Leonard, Hadas Kress-Gazit, Jonathan P. How, Michael Milford, Oliver Brock, Ryan Gariepy, Nicholas Roy, Hallie Siegel, Ludovic Righetti, Aude Billard, Jonathan Kelly
2018	—	`conf`	Electro-Optical System for Evaluation of Dynamic Inductive Wireless Power Transfer to Electric Vehicles. GreeNets Luiz A. Lisboa Cardoso, Dehann Fourie, John J. Leonard, Andrés A. Nogueiras Meléndez, João Luiz Afonso
2018	J	`jnl`	Mapping and determining the center of mass of a rotating object using a moving observer. Int. J. Robotics Res. Timothy P. Setterfield, David W. Miller, John J. Leonard, Alvar Saenz-Otero
2018	A	`conf`	Multibeam Data Processing for Underwater Mapping. IROS Pedro V. Teixeira, Franz S. Hover, John J. Leonard, Michael Kaess
2018	J	`jnl`	Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping. Int. J. Robotics Res. Liam Paull, Mae L. Seto, John J. Leonard, Howard Li
2018	J	`jnl`	The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. IEEE Trans. Pattern Anal. Mach. Intell. Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III
2017	B	`conf`	A parallel autonomy research platform. Intelligent Vehicles Symposium Felix Naser, David L. Dorhout, Stephen Proulx, Scott Drew Pendleton, Hans Andersen, Wilko Schwarting, Liam Paull, Javier Alonso-Mora, Marcelo H. Ang, Sertac Karaman, Russ Tedrake, John J. Leonard, Daniela Rus
2017	J	`jnl`	Direction-Aware Semi-Dense SLAM. CoRR Julian Straub, Randi Cabezas, John J. Leonard, John W. Fisher III
2017	A*	`conf`	Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cáp, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, Daniel Hoehener, Shih-Yuan Liu, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
2017	J	`jnl`	SLAM with Objects using a Nonparametric Pose Graph. CoRR Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How
2017	A*	`conf`	SLAMinDB: Centralized graph databases for mobile robotics. ICRA Dehann Fourie, Samuel Claassens, Sudeep Pillai, Roxana Mata, John J. Leonard
2017	J	`jnl`	Sparse Optimization for Robust and Efficient Loop Closing. CoRR Yasir Latif, Guoquan Huang, John J. Leonard, José Neira
2017	J	`jnl`	Sparse optimization for robust and efficient loop closing. Robotics Auton. Syst. Yasir Latif, Guoquan Huang, John J. Leonard, José Neira
2017	J	`jnl`	Towards Visual Ego-motion Learning in Robots. CoRR Sudeep Pillai, John J. Leonard
2017	A	`conf`	Towards visual ego-motion learning in robots. IROS Sudeep Pillai, John J. Leonard
2017	J	`jnl`	Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation. IEEE Trans. Robotics Beipeng Mu, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
2016	C	`conf`	A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. WAFR David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard
2016	J	`jnl`	A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. CoRR David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard
2016	A	`conf`	A nonparametric belief solution to the Bayes tree. IROS Dehann Fourie, John J. Leonard, Michael Kaess
2016	A*	`conf`	A unified resource-constrained framework for graph SLAM. ICRA Liam Paull, Guoquan Huang, John J. Leonard
2016	—	`conf`	Duckietown: An Innovative Way to Teach Autonomy. EDUROBOTICS Jacopo Tani, Liam Paull, Maria T. Zuber, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
2016	A*	`conf`	High-performance and tunable stereo reconstruction. ICRA Sudeep Pillai, Srikumar Ramalingam, John J. Leonard
2016	—	`conf`	Information-based Active SLAM via topological feature graphs. CDC Beipeng Mu, Matthew Giamou, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
2016	J	`jnl`	Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age. IEEE Trans. Robotics Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian Reid, John J. Leonard
2016	J	`jnl`	SE-Sync: A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. CoRR David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard
2016	A	`conf`	SLAM with objects using a nonparametric pose graph. IROS Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How
2016	J	`jnl`	Simultaneous Localization And Mapping: Present, Future, and the Robust-Perception Age. CoRR Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian D. Reid, John J. Leonard
2016	—	`ch.`	Simultaneous Localization and Mapping. Springer Handbook of Robotics, 2nd Ed. Cyrill Stachniss, John J. Leonard, Sebastian Thrun
2016	A*	`conf`	Towards lifelong feature-based mapping in semi-static environments. ICRA David M. Rosen, Julian Mason, John J. Leonard
2016	A	`conf`	Underwater inspection using sonar-based volumetric submaps. IROS Pedro V. Teixeira, Michael Kaess, Franz S. Hover, John J. Leonard
2016	J	`jnl`	Visual Place Recognition: A Survey. IEEE Trans. Robotics Stephanie M. Lowry, Niko Sünderhauf, Paul Newman, John J. Leonard, David D. Cox, Peter I. Corke, Michael J. Milford
2015	A*	`conf`	A convex relaxation for approximate global optimization in simultaneous localization and mapping. ICRA David M. Rosen, Charles DuHadway, John J. Leonard
2015	—	`conf`	An Overview of MIT-Olin's Approach in the AUVSI RobotX Competition. FSR Arthur Anderson, Erin M. Fischell, Thom Howe, Tom Miller, Arturo Parrales-Salinas, Nick Rypkema, David Barrett, Michael Benjamin, Alex Brennen, Michael DeFillipo, John J. Leonard, Liam Paull, Henrik R. Schmidt, Nick Wang, Alon Yaari
2015	A*	`conf`	Appearance-based SLAM in a network space. ICRA Padraig Corcoran, Ted J. Steiner, Michela Bertolotto, John J. Leonard
2015	A	`conf`	Bridging text spotting and SLAM with junction features. IROS Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth J. Teller, John J. Leonard
2015	A*	`conf`	Communication-constrained multi-AUV cooperative SLAM. ICRA Liam Paull, Guoquan Huang, Mae L. Seto, John J. Leonard
2015	J	`jnl`	Consistent unscented incremental smoothing for multi-robot cooperative target tracking. Robotics Auton. Syst. Guoquan Huang, Michael Kaess, John J. Leonard
2015	J	`jnl`	Factor Graph Modeling of Rigid-body Dynamics for Localization, Mapping, and Parameter Estimation of a Spinning Object in Space. J. Field Robotics Brent E. Tweddle, Alvar Saenz-Otero, John J. Leonard, David W. Miller
2015	J	`jnl`	High-Performance and Tunable Stereo Reconstruction. CoRR Sudeep Pillai, Srikumar Ramalingam, John J. Leonard
2015	J	`jnl`	Information-based Active SLAM via Topological Feature Graphs. CoRR Beipeng Mu, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
2015	J	`jnl`	Lagrangian Duality in 3D SLAM: Verification Techniques and Optimal Solutions. CoRR Luca Carlone, David M. Rosen, Giuseppe Carlo Calafiore, John J. Leonard, Frank Dellaert
2015	A	`conf`	Lagrangian duality in 3D SLAM: Verification techniques and optimal solutions. IROS Luca Carlone, David M. Rosen, Giuseppe Carlo Calafiore, John J. Leonard, Frank Dellaert
2015	A*	`conf`	Location utility-based map reduction. ICRA Ted J. Steiner, Guoquan Huang, John J. Leonard
2015	—	`conf`	Monocular SLAM Supported Object Recognition. Robotics: Science and Systems Sudeep Pillai, John J. Leonard
2015	J	`jnl`	Monocular SLAM Supported Object Recognition. CoRR Sudeep Pillai, John J. Leonard
2015	J	`jnl`	Multi-Volume High Resolution RGB-D Mapping with Dynamic Volume Placement. CoRR Michael Salvato, Ross Finman, John J. Leonard
2015	—	`conf`	Optimal-State-Constraint EKF for Visual-Inertial Navigation. ISRR (1) Guoquan Huang, Kevin Eckenhoff, John J. Leonard
2015	J	`jnl`	Real-time large-scale dense RGB-D SLAM with volumetric fusion. Int. J. Robotics Res. Thomas Whelan, Michael Kaess, Hordur Johannsson, Maurice F. Fallon, John J. Leonard, John McDonald
2015	A	`conf`	Real-time manhattan world rotation estimation in 3D. IROS Julian Straub, Nishchal Bhandari, John J. Leonard, John W. Fisher III
2015	A	`conf`	Shape and pose recovery from planar pushing. IROS Kuan-Ting Yu, John J. Leonard, Alberto Rodriguez
2015	—	`conf`	Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation. Robotics: Science and Systems Beipeng Mu, Ali-Akbar Agha-Mohammadi, Liam Paull, Matthew C. Graham, Jonathan P. How, John J. Leonard
2014	A*	`conf`	A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III
2014	—	`conf`	An Online Sparsity-Cognizant Loop-Closure Algorithm for Visual Navigation. Robotics: Science and Systems Yasir Latif, Guoquan Huang, John J. Leonard, José Neira
2014	—	`conf`	Cognitively adequate topological robot localization and mapping. ISA@GIS Padraig Corcoran, Michela Bertolotto, John J. Leonard
2014	J	`jnl`	Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing. Int. J. Robotics Res. Stephen Williams, Vadim Indelman, Michael Kaess, Richard Roberts, John J. Leonard, Frank Dellaert
2014	A	`conf`	Decentralized cooperative trajectory estimation for autonomous underwater vehicles. IROS Liam Paull, Mae L. Seto, John J. Leonard
2014	A*	`conf`	Efficient incremental map segmentation in dense RGB-D maps. ICRA Ross Finman, Thomas Whelan, Michael Kaess, John J. Leonard
2014	A	`conf`	Experimental evaluation of on-board, visual mapping of an object spinning in micro-gravity aboard the International Space Station. IROS Brent E. Tweddle, Timothy P. Setterfield, Alvar Saenz-Otero, David W. Miller, John J. Leonard
2014	A*	`conf`	Inference over heterogeneous finite-/infinite-dimensional systems using factor graphs and Gaussian processes. ICRA David M. Rosen, Guoquan Huang, John J. Leonard
2014	A	`conf`	Optimized visibility motion planning for target tracking and localization. IROS Hongchuan Wei, Wenjie Lu, Pingping Zhu, Guoquan Huang, John J. Leonard, Silvia Ferrari
2014	J	`jnl`	RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation. IEEE Trans. Robotics David M. Rosen, Michael Kaess, John J. Leonard
2014	A*	`conf`	Towards consistent visual-inertial navigation. ICRA Guoquan Huang, Michael Kaess, John J. Leonard
2013	Misc	`conf`	Analytically-selected multi-hypothesis incremental MAP estimation. ICASSP Guoquan Huang, Michael Kaess, John J. Leonard, Stergios I. Roumeliotis
2013	—	`conf`	Consistent sparsification for graph optimization. ECMR Guoquan Huang, Michael Kaess, John J. Leonard
2013	A	`conf`	Deformation-based loop closure for large scale dense RGB-D SLAM. IROS Thomas Whelan, Michael Kaess, John J. Leonard, John McDonald
2013	—	`conf`	Mapping 3D Underwater Environments with Smoothed Submaps. FSR Mark VanMiddlesworth, Michael Kaess, Franz Hover, John J. Leonard
2013	J	`jnl`	Real-time 6-DOF multi-session visual SLAM over large-scale environments. Robotics Auton. Syst. John McDonald, Michael Kaess, Cesar Dario Cadena Lerma, José Neira, John J. Leonard
2013	A*	`conf`	Robust incremental online inference over sparse factor graphs: Beyond the Gaussian case. ICRA David M. Rosen, Michael Kaess, John J. Leonard
2013	A*	`conf`	Robust real-time visual odometry for dense RGB-D mapping. ICRA Thomas Whelan, Hordur Johannsson, Michael Kaess, John J. Leonard, John McDonald
2013	A*	`conf`	Temporally scalable visual SLAM using a reduced pose graph. ICRA Hordur Johannsson, Michael Kaess, Maurice F. Fallon, John J. Leonard
2013	J	`jnl`	The MIT Stata Center dataset. Int. J. Robotics Res. Maurice F. Fallon, Hordur Johannsson, Michael Kaess, John J. Leonard
2013	—	`conf`	Toward lifelong object segmentation from change detection in dense RGB-D maps. ECMR Ross Finman, Thomas Whelan, Michael Kaess, John J. Leonard
2013	—	`conf`	Unscented iSAM: A consistent incremental solution to cooperative localization and target tracking. ECMR Guoquan Huang, Robert Truax, Michael Kaess, John J. Leonard
2012	J	`jnl`	Advanced perception, navigation and planning for autonomous in-water ship hull inspection. Int. J. Robotics Res. Franz S. Hover, Ryan M. Eustice, Ayoung Kim, Brendan J. Englot, Hordur Johannsson, Michael Kaess, John J. Leonard
2012	A*	`conf`	An incremental trust-region method for Robust online sparse least-squares estimation. ICRA David M. Rosen, Michael Kaess, John J. Leonard
2012	C	`conf`	Concurrent filtering and smoothing. FUSION Michael Kaess, Stephen Williams, Vadim Indelman, Richard Roberts, John J. Leonard, Frank Dellaert
2012	A	`conf`	Dynamic pose graph SLAM: Long-term mapping in low dynamic environments. IROS Aisha Walcott-Bryant, Michael Kaess, Hordur Johannsson, John J. Leonard
2012	A	`conf`	Dynamic positioning of beacon vehicles for cooperative underwater navigation. IROS Alexander Bahr, John J. Leonard, Alcherio Martinoli
2012	A*	`conf`	Efficient scene simulation for robust monte carlo localization using an RGB-D camera. ICRA Maurice F. Fallon, Hordur Johannsson, John J. Leonard
2012	A	`conf`	Sensor fusion for flexible human-portable building-scale mapping. IROS Maurice F. Fallon, Hordur Johannsson, Jonathan Brookshire, Seth J. Teller, John J. Leonard
2012	J	`jnl`	iSAM2: Incremental smoothing and mapping using the Bayes tree. Int. J. Robotics Res. Michael Kaess, Hordur Johannsson, Richard Roberts, Viorela Ila, John J. Leonard, Frank Dellaert
2011	—	`conf`	6-DOF Multi-session Visual SLAM using Anchor Nodes. ECMR John McDonald, Michael Kaess, Cesar Dario Cadena Lerma, José Neira, John J. Leonard
2011	A*	`conf`	Efficient AUV navigation fusing acoustic ranging and side-scan sonar. ICRA Maurice F. Fallon, Michael Kaess, Hordur Johannsson, John J. Leonard
2011	A*	`conf`	Using prioritized relaxations to locate objects in points clouds for manipulation. ICRA Robert Truax, Robert Platt Jr., John J. Leonard
2011	A*	`conf`	iSAM2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering. ICRA Michael Kaess, Hordur Johannsson, Richard Roberts, Viorela Ila, John J. Leonard, Frank Dellaert
2010	J	`jnl`	A High-rate, Heterogeneous Data Set From The DARPA Urban Challenge. Int. J. Robotics Res. Albert S. Huang, Matthew E. Antone, Edwin Olson, Luke Fletcher, David Moore, Seth J. Teller, John J. Leonard
2010	A*	`conf`	A measurement distribution framework for cooperative navigation using multiple AUVs. ICRA Maurice F. Fallon, Georgios Papadopoulos, John J. Leonard
2010	J	`jnl`	Cooperative AUV Navigation using a Single Maneuvering Surface Craft. Int. J. Robotics Res. Maurice F. Fallon, Georgios Papadopoulos, John J. Leonard, Nicholas M. Patrikalakis
2010	A	`conf`	Cooperative localization of marine vehicles using nonlinear state estimation. IROS Georgios Papadopoulos, Maurice F. Fallon, John J. Leonard, Nicholas M. Patrikalakis
2010	A	`conf`	Imaging sonar-aided navigation for autonomous underwater harbor surveillance. IROS Hordur Johannsson, Michael Kaess, Brendan J. Englot, Franz Hover, John J. Leonard
2010	—	`conf`	Mapping Complex Marine Environments with Autonomous Surface Craft. ISER Jacques C. Leedekerken, Maurice F. Fallon, John J. Leonard
2010	A*	`conf`	Multiple relative pose graphs for robust cooperative mapping. ICRA Been Kim, Michael Kaess, Luke Fletcher, John J. Leonard, Abraham Bachrach, Nicholas Roy, Seth J. Teller
2010	J	`jnl`	Nested autonomy for unmanned marine vehicles with MOOS-IvP. J. Field Robotics Michael R. Benjamin, Henrik Schmidt, Paul M. Newman, John J. Leonard
2009	—	`conf`	A Perception-Driven Autonomous Urban Vehicle. The DARPA Urban Challenge John J. Leonard, Jonathan P. How, Seth J. Teller, Mitch Berger, Stefan Campbell, Gaston A. Fiore, Luke Fletcher, Emilio Frazzoli, Albert S. Huang, Sertac Karaman, Olivier Koch, Yoshiaki Kuwata, David Moore, Edwin Olson, Steve Peters, Justin Teo, Robert Truax, Matthew R. Walter, David Barrett, Alexander Epstein, Keoni Maheloni, Katy Moyer, Troy Jones, Ryan Buckley, Matthew E. Antone, Robert Galejs, Siddhartha Krishnamurthy, Jonathan Williams
2009	C	`conf`	Autonomy through SLAM for an Underwater Robot. ISRR John Folkesson, John J. Leonard
2009	A*	`conf`	Consistent cooperative localization. ICRA Alexander Bahr, Matthew R. Walter, John J. Leonard
2009	—	`conf`	Cooperative AUV Navigation Using a Single Surface Craft. FSR Maurice F. Fallon, Georgios Papadopoulos, John J. Leonard
2009	J	`jnl`	Cooperative Localization for Autonomous Underwater Vehicles. Int. J. Robotics Res. Alexander Bahr, John J. Leonard, Maurice F. Fallon
2009	A*	`conf`	Simultaneous local and global state estimation for robotic navigation. ICRA David C. Moore, Albert S. Huang, Matthew R. Walter, Edwin Olson, Luke Fletcher, John J. Leonard, Seth J. Teller
2009	—	`conf`	The MIT - Cornell Collision and Why It Happened. The DARPA Urban Challenge Luke Fletcher, Seth J. Teller, Edwin Olson, David Moore, Yoshiaki Kuwata, Jonathan P. How, John J. Leonard, Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Aaron Nathan, Frank-Robert Kline
2008	J	`jnl`	A perception-driven autonomous urban vehicle. J. Field Robotics John J. Leonard, Jonathan P. How, Seth J. Teller, Mitch Berger, Stefan Campbell, Gaston A. Fiore, Luke Fletcher, Emilio Frazzoli, Albert S. Huang, Sertac Karaman, Olivier Koch, Yoshiaki Kuwata, David Moore, Edwin Olson, Steve Peters, Justin Teo, Robert Truax, Matthew R. Walter, David Barrett, Alexander Epstein, Keoni Maheloni, Katy Moyer, Troy Jones, Ryan Buckley, Matthew E. Antone, Robert Galejs, Siddhartha Krishnamurthy, Jonathan Williams
2008	A*	`conf`	SLAM for ship hull inspection using exactly sparse extended information filters. ICRA Matthew R. Walter, Franz Hover, John J. Leonard
2008	—	`ch.`	Simultaneous Localization and Mapping. Springer Handbook of Robotics Sebastian Thrun, John J. Leonard
2008	J	`jnl`	The MIT-Cornell collision and why it happened. J. Field Robotics Luke Fletcher, Seth J. Teller, Edwin Olson, David Moore, Yoshiaki Kuwata, Jonathan P. How, John J. Leonard, Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Aaron Nathan, Frank-Robert Kline
2007	—	`conf`	A Feature Based Navigation System for an Autonomous Underwater Robot. FSR John Folkesson, Jacques Leederkerken, Rob Williams, Andrew Patrikalakis, John J. Leonard
2007	J	`jnl`	Exactly Sparse Extended Information Filters for Feature-based SLAM. Int. J. Robotics Res. Matthew R. Walter, Ryan Eustice, John J. Leonard
2007	A	`conf`	Feature tracking for underwater navigation using sonar. IROS John Folkesson, John J. Leonard, Jacques Leederkerken, Rob Williams
2007	—	`conf`	Minimizing Trilateration Errors in the Presence of Uncertain Landmark Positions. EMCR Alexander Bahr, John J. Leonard
2007	—	`conf`	Spatially-Adaptive Learning Rates for Online Incremental SLAM. Robotics: Science and Systems Edwin Olson, John J. Leonard, Seth J. Teller
2006	J	`jnl`	A method for protocol-based collision avoidance between autonomous marine surface craft. J. Field Robotics Michael R. Benjamin, John J. Leonard, Joseph A. Curcio, Paul M. Newman
2006	A	`conf`	Adaptive Control of Heterogeneous Marine Sensor Platforms in an Autonomous Sensor Network. IROS Donald P. Eickstedt, Michael R. Benjamin, Henrik Schmidt, John J. Leonard
2006	—	`conf`	Cooperative Localization for Autonomous Underwater Vehicles. ISER Alexander Bahr, John J. Leonard
2006	J	`jnl`	Exactly Sparse Delayed-State Filters for View-Based SLAM. IEEE Trans. Robotics Ryan M. Eustice, Hanumant Singh, John J. Leonard
2006	A*	`conf`	Fast Iterative Alignment of Pose Graphs with Poor Initial Estimates. ICRA Edwin Olson, John J. Leonard, Seth J. Teller
2006	A*	`conf`	Navigation of Unmanned Marine Vehicles in Accordance with the Rules of the Road. ICRA Michael R. Benjamin, Joseph A. Curcio, John J. Leonard, Paul M. Newman
2006	C	`conf`	Passive Mobile Robot Localization within a Fixed Beacon Field. WAFR Carrick Detweiler, John J. Leonard, Daniela Rus, Seth J. Teller
2006	J	`jnl`	Visually Mapping the RMS Titanic: Conservative Covariance Estimates for SLAM Information Filters. Int. J. Robotics Res. Ryan Eustice, Hanumant Singh, John J. Leonard, Matthew R. Walter
2005	C	`conf`	A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters. ISRR Matthew R. Walter, Ryan Eustice, John J. Leonard
2005	A*	`conf`	Exactly Sparse Delayed-State Filters. ICRA Ryan M. Eustice, Hanumant Singh, John J. Leonard
2005	—	`conf`	Single-Cluster Spectral Graph Partitioning for Robotics Applications. Robotics: Science and Systems Edwin Olson, Matthew R. Walter, Seth J. Teller, John J. Leonard
2005	A	`conf`	Sparse extended information filters: insights into sparsification. IROS Ryan Eustice, Matthew R. Walter, John J. Leonard
2005	—	`conf`	Visually Navigating the RMS Titanic with SLAM Information Filters. Robotics: Science and Systems Ryan Eustice, Hanumant Singh, John J. Leonard, Matthew R. Walter, Robert Ballard
2004	Misc	`conf`	Robust distributed network localization with noisy range measurements. SenSys David C. Moore, John J. Leonard, Daniela Rus, Seth J. Teller
2004	J	`jnl`	Simultaneous Localization and Map Building in Large-Scale Cyclic Environments Using the Atlas Framework. Int. J. Robotics Res. Michael Bosse, Paul M. Newman, John J. Leonard, Seth J. Teller
2004	—	`conf`	Trajectory Sonar Perception in the Ligurian Sea. ISER Richard J. Rikoski, John J. Leonard, Paul M. Newman, Henrik Schmidt
2003	A*	`conf`	An atlas framework for scalable mapping. ICRA Michael Bosse, Paul M. Newman, John J. Leonard, Martin Soika, Wendelin Feiten, Seth J. Teller
2003	A*	`conf`	Autonomous feature-based exploration. ICRA Paul M. Newman, Michael Bosse, John J. Leonard
2003	A*	`conf`	Consistent, Convergent, and Constant-Time SLAM. IJCAI John J. Leonard, Paul M. Newman
2003	A*	`conf`	Pure range-only sub-sea SLAM. ICRA Paul M. Newman, John J. Leonard
2003	C	`conf`	Towards Constant-Time SLAM on an Autonomous Underwater Vehicle Using Synthetic Aperture Sonar. ISRR Paul M. Newman, John J. Leonard, Richard J. Rikoski
2003	A*	`conf`	Trajectory sonar perceptio. ICRA Richard J. Rikoski, John J. Leonard
2003	J	`jnl`	Vanishing points and three-dimensional lines from omni-directional video. Vis. Comput. Michael Bosse, Richard J. Rikoski, John J. Leonard, Seth J. Teller
2002	A*	`conf`	Cooperative Concurrent Mapping and Localization. ICRA John W. Fenwick, Paul M. Newman, John J. Leonard
2002	A*	`conf`	Explore and Return: Experimental Validation of Real-Time Concurrent Mapping and Localization. ICRA Paul M. Newman, John J. Leonard, Juan D. Tardós, José Neira
2002	J	`jnl`	Mapping Partially Observable Features from Multiple Uncertain Vantage Points. Int. J. Robotics Res. John J. Leonard, Richard J. Rikoski, Paul M. Newman, Michael Bosse
2002	J	`jnl`	Robust Mapping and Localization in Indoor Environments Using Sonar Data. Int. J. Robotics Res. Juan D. Tardós, José Neira, Paul M. Newman, John J. Leonard
2002	A*	`conf`	Stochastic Mapping Frameworks. ICRA Richard J. Rikoski, John J. Leonard, Paul M. Newman
2002	—	`conf`	Vanishing points and 3D lines from omnidirectional video. ICIP (3) Michael Bosse, Richard J. Rikoski, John J. Leonard, Seth J. Teller
2001	J	`jnl`	Stochastic mapping using forward look sonar. Robotica John J. Leonard, Robert N. Carpenter, Hans Jacob S. Feder
2001	C	`conf`	Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization. ISRR John J. Leonard, Paul M. Newman, Richard J. Rikoski, José Neira, Juan D. Tardós
2000	—	`conf`	Incorporation of Delayed Decision Making into Stochastic Mapping. ISER John J. Leonard, Richard J. Rikoski
2000	J	`jnl`	Mobile Robot Relocation from Echolocation Constraints. IEEE Trans. Pattern Anal. Mach. Intell. Jong Hwan Lim, John J. Leonard
1999	J	`jnl`	Adaptive Mobile Robot Navigation and Mapping. Int. J. Robotics Res. Hans Jacob S. Feder, John J. Leonard, Christopher M. Smith
1999	—	`conf`	Experimental Analysis of Adaptive Concurrent Mapping and Localization Using Sonar. ISER John J. Leonard, Hans Jacob S. Feder
1999	A	`conf`	Mobile robot relocation using echolocation constraints. IROS Jong Hwan Lim, John J. Leonard, Seung Kyun Kang
1998	A	`conf`	Adaptive concurrent mapping and localization using sonar. IROS Hans Jacob S. Feder, John J. Leonard, Christopher M. Smith
1998	J	`jnl`	Comparison of fix computation and filtering for autonomous acoustic navigation. Int. J. Syst. Sci. Jerome Vaganay, James G. Bellingham, John J. Leonard
1996	A*	`conf`	Outlier rejection for autonomous acoustic navigation. ICRA Jerome Vaganay, John J. Leonard, James G. Bellingham
1995	A*	`conf`	Underwater Sonar Data Fusion Using Efficient Multiple Hypothesis Algorithm. ICRA John J. Leonard, Bradley A. Moran, Ingemar J. Cox, Matthew L. Miller
1994	J	`jnl`	Modeling a Dynamic Environment Using a Bayesian Multiple Hypothesis Approach. Artif. Intell. Ingemar J. Cox, John J. Leonard
1991	J	`jnl`	Mobile robot localization by tracking geometric beacons. IEEE Trans. Robotics Autom. John J. Leonard, Hugh F. Durrant-Whyte
1991	A	`conf`	Simultaneous map building and localization for an autonomous mobile robot. IROS John J. Leonard, Hugh F. Durrant-Whyte
1990	A	`conf`	Dynamic map building for autonomous mobile robot. IROS John J. Leonard, Hugh F. Durrant-Whyte, Ingemar J. Cox
1989	A	`conf`	Navigation by Correlating Geometric Sensor Data. IROS Hugh F. Durrant-Whyte, John J. Leonard