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ORCIDJohn J. Leonard
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- affiliation: MIT, Cambridge, USA
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2020 – today
- 2025
[j51]Ziqi Lu
, Jianbo Ye, John J. Leonard:
3DGS-CD: 3D Gaussian Splatting-Based Change Detection for Physical Object Rearrangement. IEEE Robotics Autom. Lett. 10(3): 2662-2669 (2025)- 2024
- [j50]Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard:
Certifiably Correct Range-Aided SLAM. IEEE Trans. Robotics 40: 4265-4283 (2024) - [c133]Kurran Singh, Jungseok Hong, Nicholas R. Rypkema, John J. Leonard:
Opti-Acoustic Semantic SLAM with Unknown Objects in Underwater Environments. IROS 2024: 1169-1176 - [i56]Kurran Singh, Jungseok Hong, Nicholas R. Rypkema, John J. Leonard:
Opti-Acoustic Semantic SLAM with Unknown Objects in Underwater Environments. CoRR abs/2403.12837 (2024) - [i55]Kevin J. Doherty, Alan Papalia, Yewei Huang, David M. Rosen, Brendan J. Englot, John J. Leonard:
MAC: Maximizing Algebraic Connectivity for Graph Sparsification. CoRR abs/2403.19879 (2024) - [i54]Kurran Singh, Tim Magoun, John J. Leonard:
LOSS-SLAM: Lightweight Open-Set Semantic Simultaneous Localization and Mapping. CoRR abs/2404.04377 (2024) - [i53]Yihao Zhang, John J. Leonard:
ShapeICP: Iterative Category-level Object Pose and Shape Estimation from Depth. CoRR abs/2408.13147 (2024) - [i52]Kurran Singh, John J. Leonard:
Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching. CoRR abs/2409.11555 (2024) - [i51]Daniel Yang, John J. Leonard, Yogesh A. Girdhar:
SeaSplat: Representing Underwater Scenes with 3D Gaussian Splatting and a Physically Grounded Image Formation Model. CoRR abs/2409.17345 (2024) - [i50]Alan Papalia, Yulun Tian, David M. Rosen, Jonathan P. How, John J. Leonard:
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception. CoRR abs/2410.00117 (2024) - [i49]Ziqi Lu, Jianbo Ye, John J. Leonard:
3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangement. CoRR abs/2411.03706 (2024) - [i48]Jungseok Hong, Ran Choi, John J. Leonard:
Learning from Feedback: Semantic Enhancement for Object SLAM Using Foundation Models. CoRR abs/2411.06752 (2024) - 2023
- [j49]Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard:
Optimizing Fiducial Marker Placement for Improved Visual Localization. IEEE Robotics Autom. Lett. 8(5): 2756-2763 (2023) - [j48]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. IEEE Trans. Robotics 39(2): 1458-1475 (2023) - [c132]Yihao Zhang, Odin A. Severinsen, John J. Leonard, Luca Carlone, Kasra Khosoussi:
Data-Association-Free Landmark-based SLAM. ICRA 2023: 8349-8355 - [c131]Alan Papalia, Joseph Morales, Kevin J. Doherty, David M. Rosen, John J. Leonard:
SCORE: A Second-Order Conic Initialization for Range-Aided SLAM. ICRA 2023: 10637-10644 - [c130]Antoni Rosinol, John J. Leonard, Luca Carlone:
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. IROS 2023: 3437-3444 - [c129]Qiangqiang Huang, John J. Leonard:
GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM. IROS 2023: 9183-9190 - [c128]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects. Robotics: Science and Systems 2023 - [c127]Antoni Rosinol, John J. Leonard, Luca Carlone:
Probabilistic Volumetric Fusion for Dense Monocular SLAM. WACV 2023: 3096-3104 - [i47]Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard:
Certifiably Correct Range-Aided SLAM. CoRR abs/2302.11614 (2023) - [i46]Yihao Zhang, Odin A. Severinsen, John J. Leonard, Luca Carlone, Kasra Khosoussi:
Data-Association-Free Landmark-based SLAM. CoRR abs/2302.13264 (2023) - [i45]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects. CoRR abs/2303.07308 (2023) - [i44]Qiangqiang Huang, John J. Leonard:
GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM. CoRR abs/2303.14283 (2023) - [i43]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:
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR abs/2305.17600 (2023) - 2022
- [j47]Qiangqiang Huang, Alan Papalia, John J. Leonard:
Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs. IEEE Robotics Autom. Lett. 7(4): 9232-9239 (2022) - [j46]Jiahui Fu, Chengyuan Lin, Yuichi Taguchi, Andrea Cohen, Yifu Zhang, Stephen Mylabathula, John J. Leonard:
PlaneSDF-Based Change Detection for Long-Term Dense Mapping. IEEE Robotics Autom. Lett. 7(4): 9667-9674 (2022) - [j45]Jesse R. Pelletier, Brendan W. O'Neill, John J. Leonard, Lee Freitag, Eric Gallimore:
AUV-Assisted Diver Navigation. IEEE Robotics Autom. Lett. 7(4): 10208-10215 (2022) - [j44]Kevin J. Doherty, Ziqi Lu, Kurran Singh, John J. Leonard:
Discrete-Continuous Smoothing and Mapping. IEEE Robotics Autom. Lett. 7(4): 12395-12402 (2022) - [c126]Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman:
Trajectory Prediction with Linguistic Representations. ICRA 2022: 2868-2875 - [c125]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA 2022: 2906-2912 - [c124]Kevin J. Doherty, David M. Rosen, John J. Leonard:
Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM. ICRA 2022: 5608-5614 - [c123]Alan Papalia, Nicole Thumma, John J. Leonard:
Prioritized Planning for Cooperative Range-Only Localization in Multi-Robot Networks. ICRA 2022: 10753-10759 - [c122]Kevin J. Doherty, David M. Rosen, John J. Leonard:
Spectral Measurement Sparsification for Pose-Graph SLAM. IROS 2022: 1-8 - [c121]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
Robust Change Detection Based on Neural Descriptor Fields. IROS 2022: 2817-2824 - [c120]Ziqi Lu, Yihao Zhang, Kevin J. Doherty, Odin Severinsen, Ethan Yang, John J. Leonard:
SLAM-Supported Self-Training for 6D Object Pose Estimation. IROS 2022: 2833-2840 - [c119]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Vehicles. IROS 2022: 11432-11439 - [i42]Kevin J. Doherty, David M. Rosen, John J. Leonard:
Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM. CoRR abs/2201.03773 (2022) - [i41]Ziqi Lu, Yihao Zhang, Kevin J. Doherty, Odin Severinsen, Ethan Yang, John J. Leonard:
SLAM-Supported Self-Training for 6D Object Pose Estimation. CoRR abs/2203.04424 (2022) - [i40]Kevin J. Doherty, David M. Rosen, John J. Leonard:
Spectral Measurement Sparsification for Pose-Graph SLAM. CoRR abs/2203.13897 (2022) - [i39]Kevin J. Doherty, Ziqi Lu, Kurran Singh, John J. Leonard:
Discrete-Continuous Smoothing and Mapping. CoRR abs/2204.11936 (2022) - [i38]Jiahui Fu, Chengyuan Lin, Yuichi Taguchi, Andrea Cohen, Yifu Zhang, Stephen Mylabathula, John J. Leonard:
PlaneSDF-based Change Detection for Long-term Dense Mapping. CoRR abs/2207.08323 (2022) - [i37]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
Robust Change Detection Based on Neural Descriptor Fields. CoRR abs/2208.01014 (2022) - [i36]Antoni Rosinol, John J. Leonard, Luca Carlone:
Probabilistic Volumetric Fusion for Dense Monocular SLAM. CoRR abs/2210.01276 (2022) - [i35]Alan Papalia, Joseph Morales, Kevin J. Doherty, David M. Rosen, John J. Leonard:
SCORE: A Second-Order Conic Initialization for Range-Aided SLAM. CoRR abs/2210.03177 (2022) - [i34]Antoni Rosinol, John J. Leonard, Luca Carlone:
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. CoRR abs/2210.13641 (2022) - [i33]Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard:
Optimizing Fiducial Marker Placement for Improved Visual Localization. CoRR abs/2211.01513 (2022) - 2021
- [j43]David M. Rosen, Kevin J. Doherty, Antonio Terán Espinoza, John J. Leonard:
Advances in Inference and Representation for Simultaneous Localization and Mapping. Annu. Rev. Control. Robotics Auton. Syst. 4: 215-242 (2021) - [j42]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. 6(3): 4433-4440 (2021) - [c118]Deepak E. Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard:
MAAD: A Model and Dataset for "Attended Awareness" in Driving. ICCVW 2021: 3419-3429 - [c117]Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard:
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. ICRA 2021: 1095-1102 - [c116]Victor Amblard, Timothy P. Osedach, Arnaud Croux, Andrew Speck, John J. Leonard:
Lidar-Monocular Surface Reconstruction Using Line Segments. ICRA 2021: 5631-5637 - [c115]Yihao Zhang, John J. Leonard:
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior. ICRA 2021: 11732-11738 - [c114]Yihao Zhang, John J. Leonard:
Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation. IROS 2021: 2420-2427 - [c113]Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard:
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM. IROS 2021: 5432-5439 - [c112]Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard:
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM. IROS 2021: 7639-7646 - [c111]Dehann Fourie, Antonio Terán Espinoza, Michael Kaess, John J. Leonard:
Characterizing Marginalization and Incremental Operations on the Bayes Tree. WAFR 2021: 227-242 - [i32]David M. Rosen, Kevin J. Doherty, Antonio Terán Espinoza, John J. Leonard:
Advances in Inference and Representation for Simultaneous Localization and Mapping. CoRR abs/2103.05041 (2021) - [i31]Yihao Zhang, John J. Leonard:
Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation. CoRR abs/2103.11031 (2021) - [i30]Yihao Zhang, John J. Leonard:
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior. CoRR abs/2104.00562 (2021) - [i29]Victor Amblard, Timothy P. Osedach, Arnaud Croux, Andrew Speck, John J. Leonard:
Lidar-Monocular Surface Reconstruction Using Line Segments. CoRR abs/2104.02761 (2021) - [i28]Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard:
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. CoRR abs/2105.05045 (2021) - [i27]Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard:
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM. CoRR abs/2107.09265 (2021) - [i26]Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard:
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM. CoRR abs/2108.01225 (2021) - [i25]Alan Papalia, Nicole Thumma, John J. Leonard:
Prioritized Planning for Cooperative Range-Only Localization in Multi-Robot Networks. CoRR abs/2109.05132 (2021) - [i24]Qiangqiang Huang, Alan Papalia, John J. Leonard:
On Reference Solutions to Non-Gaussian SLAM Factor Graphs. CoRR abs/2109.10871 (2021) - [i23]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. CoRR abs/2110.00876 (2021) - [i22]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR abs/2110.02344 (2021) - [i21]Deepak E. Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard:
MAAD: A Model and Dataset for "Attended Awareness" in Driving. CoRR abs/2110.08610 (2021) - [i20]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR abs/2110.08750 (2021) - [i19]Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman:
Trajectory Prediction with Linguistic Representations. CoRR abs/2110.09741 (2021) - 2020
- [j41]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. 5(4): 5089-5096 (2020) - [c110]Kevin J. Doherty, David P. Baxter, Edward Schneeweiss, John J. Leonard:
Probabilistic Data Association via Mixture Models for Robust Semantic SLAM. ICRA 2020: 1098-1104 - [c109]Dehann Fourie, Nicholas R. Rypkema, Pedro Vaz Teixeira, Samuel Claassens, Erin M. Fischell, John J. Leonard:
Towards Real-Time Non-Gaussian SLAM for Underdetermined Navigation. IROS 2020: 4438-4445 - [c108]John D. Martin, Kevin J. Doherty, Caralyn Cyr, Brendan J. Englot, John J. Leonard:
Variational Filtering with Copula Models for SLAM. IROS 2020: 5066-5073 - [i18]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR abs/2003.08003 (2020) - [i17]John D. Martin, Kevin J. Doherty, Caralyn Cyr, Brendan J. Englot, John J. Leonard:
Variational Filtering with Copula Models for SLAM. CoRR abs/2008.00504 (2020) - [i16]Alan Papalia, John J. Leonard:
Network Localization Based Planning for Autonomous Underwater Vehicles with Inter-Vehicle Ranging. CoRR abs/2010.02861 (2020)
2010 – 2019
- 2019
- [j40]Kyle Woerner, Michael R. Benjamin, Michael Novitzky, John J. Leonard:
Quantifying protocol evaluation for autonomous collision avoidance - Toward establishing COLREGS compliance metrics. Auton. Robots 43(4): 967-991 (2019) - [j39]David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard:
SE-Sync: A certifiably correct algorithm for synchronization over the special Euclidean group. Int. J. Robotics Res. 38(2-3) (2019) - [j38]Stephen G. McGill, Guy Rosman, Teddy Ort, Alyssa Pierson, Igor Gilitschenski, Brandon Araki, Luke Fletcher, Sertac Karaman, Daniela Rus, John J. Leonard:
Probabilistic Risk Metrics for Navigating Occluded Intersections. IEEE Robotics Autom. Lett. 4(4): 4322-4329 (2019) - [j37]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:
Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field]. IEEE Robotics Autom. Mag. 26(3): 7-10 (2019) - [c107]Kevin J. Doherty, Dehann Fourie, John J. Leonard:
Multimodal Semantic SLAM with Probabilistic Data Association. ICRA 2019: 2419-2425 - [c106]Mei Yi Cheung, Dehann Fourie, Nicholas R. Rypkema, Pedro Vaz Teixeira, Henrik R. Schmidt, John J. Leonard:
Non-Gaussian SLAM utilizing Synthetic Aperture Sonar. ICRA 2019: 3457-3463 - [c105]Dehann Fourie, Pedro Vaz Teixeira, John J. Leonard:
Non-parametric Mixed-Manifold Products using Multiscale Kernel Densities. IROS 2019: 6656-6662 - [c104]Pedro V. Teixeira, Dehann Fourie, Michael Kaess, John J. Leonard:
Dense, Sonar-based Reconstruction of Underwater Scenes. IROS 2019: 8060-8066 - [i15]Sudeep Pillai, John J. Leonard:
Self-Supervised Visual Place Recognition Learning in Mobile Robots. CoRR abs/1905.04453 (2019) - [i14]Kevin J. Doherty, David P. Baxter, Edward Schneeweiss, John J. Leonard:
Probabilistic Data Association via Mixture Models for Robust Semantic SLAM. CoRR abs/1909.11213 (2019) - [i13]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR abs/1911.12736 (2019) - 2018
- [j36]Liam Paull, Mae L. Seto, John J. Leonard, Howard Li:
Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping. Int. J. Robotics Res. 37(1): 21-45 (2018) - [j35]Timothy P. Setterfield, David W. Miller, John J. Leonard, Alvar Saenz-Otero:
Mapping and determining the center of mass of a rotating object using a moving observer. Int. J. Robotics Res. 37(1): 83-103 (2018) - [j34]Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III:
The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 235-249 (2018) - [c103]Luiz A. Lisboa Cardoso, Dehann Fourie, John J. Leonard, Andrés A. Nogueiras Meléndez, João Luiz Afonso:
Electro-Optical System for Evaluation of Dynamic Inductive Wireless Power Transfer to Electric Vehicles. GreeNets 2018: 154-174 - [c102]Pedro V. Teixeira, Franz S. Hover, John J. Leonard, Michael Kaess:
Multibeam Data Processing for Underwater Mapping. IROS 2018: 1877-1884 - 2017
- [j33]Yasir Latif, Guoquan Huang, John J. Leonard, José Neira:
Sparse optimization for robust and efficient loop closing. Robotics Auton. Syst. 93: 13-26 (2017) - [j32]Beipeng Mu, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How:
Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation. IEEE Trans. Robotics 33(1): 124-140 (2017) - [c101]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:
Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA 2017: 1497-1504 - [c100]Dehann Fourie, Samuel Claassens, Sudeep Pillai, Roxana Mata, John J. Leonard:
SLAMinDB: Centralized graph databases for mobile robotics. ICRA 2017: 6331-6337 - [c99]Sudeep Pillai, John J. Leonard:
Towards visual ego-motion learning in robots. IROS 2017: 5533-5540 - [c98]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:
A parallel autonomy research platform. Intelligent Vehicles Symposium 2017: 933-940 - [i12]Yasir Latif, Guoquan Huang, John J. Leonard, José Neira:
Sparse Optimization for Robust and Efficient Loop Closing. CoRR abs/1701.08921 (2017) - [i11]Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How:
SLAM with Objects using a Nonparametric Pose Graph. CoRR abs/1704.05959 (2017) - [i10]Sudeep Pillai, John J. Leonard:
Towards Visual Ego-motion Learning in Robots. CoRR abs/1705.10279 (2017) - [i9]Julian Straub, Randi Cabezas, John J. Leonard, John W. Fisher III:
Direction-Aware Semi-Dense SLAM. CoRR abs/1709.05774 (2017) - 2016
- [j31]Stephanie M. Lowry, Niko Sünderhauf, Paul Newman, John J. Leonard, David D. Cox, Peter I. Corke, Michael J. Milford:
Visual Place Recognition: A Survey. IEEE Trans. Robotics 32(1): 1-19 (2016) - [j30]Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian Reid, John J. Leonard:
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age. IEEE Trans. Robotics 32(6): 1309-1332 (2016) - [c97]Beipeng Mu, Matthew Giamou, Liam Paull, Ali-akbar Agha-mohammadi, John J. Leonard, Jonathan P. How:
Information-based Active SLAM via topological feature graphs. CDC 2016: 5583-5590 - [c96]Jacopo Tani, Liam Paull, Maria T. Zuber, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi:
Duckietown: An Innovative Way to Teach Autonomy. EDUROBOTICS 2016: 104-121 - [c95]David M. Rosen, Julian Mason, John J. Leonard:
Towards lifelong feature-based mapping in semi-static environments. ICRA 2016: 1063-1070 - [c94]Liam Paull, Guoquan Huang, John J. Leonard:
A unified resource-constrained framework for graph SLAM. ICRA 2016: 1346-1353 - [c93]Sudeep Pillai, Srikumar Ramalingam, John J. Leonard:
High-performance and tunable stereo reconstruction. ICRA 2016: 3188-3195 - [c92]Dehann Fourie, John J. Leonard, Michael Kaess:
A nonparametric belief solution to the Bayes tree. IROS 2016: 2189-2196 - [c91]Pedro V. Teixeira, Michael Kaess, Franz S. Hover, John J. Leonard:
Underwater inspection using sonar-based volumetric submaps. IROS 2016: 4288-4295 - [c90]Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How:
SLAM with objects using a nonparametric pose graph. IROS 2016: 4602-4609 - [c89]David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard:
A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. WAFR 2016: 64-79 - [p2]Cyrill Stachniss, John J. Leonard, Sebastian Thrun:
Simultaneous Localization and Mapping. Springer Handbook of Robotics, 2nd Ed. 2016: 1153-1176 - [i8]Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian D. Reid, John J. Leonard:
Simultaneous Localization And Mapping: Present, Future, and the Robust-Perception Age. CoRR abs/1606.05830 (2016) - [i7]David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard:
A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. CoRR abs/1611.00128 (2016) - [i6]David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard:
SE-Sync: A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. CoRR abs/1612.07386 (2016) - 2015
- [j29]Thomas Whelan, Michael Kaess, Hordur Johannsson, Maurice F. Fallon, John J. Leonard, John McDonald:
Real-time large-scale dense RGB-D SLAM with volumetric fusion. Int. J. Robotics Res. 34(4-5): 598-626 (2015) - [j28]Brent E. Tweddle, Alvar Saenz-Otero, John J. Leonard, David W. Miller:
Factor Graph Modeling of Rigid-body Dynamics for Localization, Mapping, and Parameter Estimation of a Spinning Object in Space. J. Field Robotics 32(6): 897-933 (2015) - [j27]Guoquan Huang, Michael Kaess, John J. Leonard:
Consistent unscented incremental smoothing for multi-robot cooperative target tracking. Robotics Auton. Syst. 69: 52-67 (2015) - [c88]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:
An Overview of MIT-Olin's Approach in the AUVSI RobotX Competition. FSR 2015: 61-80 - [c87]Ted J. Steiner, Guoquan Huang, John J. Leonard:
Location utility-based map reduction. ICRA 2015: 479-486 - [c86]Liam Paull, Guoquan Huang, Mae L. Seto, John J. Leonard:
Communication-constrained multi-AUV cooperative SLAM. ICRA 2015: 509-516 - [c85]Padraig Corcoran, Ted J. Steiner, Michela Bertolotto, John J. Leonard:
Appearance-based SLAM in a network space. ICRA 2015: 5791-5798 - [c84]David M. Rosen, Charles DuHadway, John J. Leonard:
A convex relaxation for approximate global optimization in simultaneous localization and mapping. ICRA 2015: 5822-5829 - [c83]Luca Carlone, David M. Rosen, Giuseppe Carlo Calafiore, John J. Leonard, Frank Dellaert:
Lagrangian duality in 3D SLAM: Verification techniques and optimal solutions. IROS 2015: 125-132 - [c82]Kuan-Ting Yu, John J. Leonard, Alberto Rodriguez:
Shape and pose recovery from planar pushing. IROS 2015: 1208-1215 - [c81]Julian Straub, Nishchal Bhandari, John J. Leonard, John W. Fisher III:
Real-time manhattan world rotation estimation in 3D. IROS 2015: 1913-1920 - [c80]Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth J. Teller, John J. Leonard:
Bridging text spotting and SLAM with junction features. IROS 2015: 3701-3708 - [c79]Guoquan Huang, Kevin Eckenhoff, John J. Leonard:
Optimal-State-Constraint EKF for Visual-Inertial Navigation. ISRR (1) 2015: 125-139 - [c78]Beipeng Mu, Ali-akbar Agha-mohammadi, Liam Paull, Matthew C. Graham, Jonathan P. How, John J. Leonard:
Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation. Robotics: Science and Systems 2015 - [c77]Sudeep Pillai, John J. Leonard:
Monocular SLAM Supported Object Recognition. Robotics: Science and Systems 2015 - [i5]Luca Carlone, David M. Rosen, Giuseppe Carlo Calafiore, John J. Leonard, Frank Dellaert:
Lagrangian Duality in 3D SLAM: Verification Techniques and Optimal Solutions. CoRR abs/1506.00746 (2015) - [i4]Sudeep Pillai, John J. Leonard:
Monocular SLAM Supported Object Recognition. CoRR abs/1506.01732 (2015) - [i3]Beipeng Mu, Liam Paull, Ali-akbar Agha-mohammadi, John J. Leonard, Jonathan P. How:
Information-based Active SLAM via Topological Feature Graphs. CoRR abs/1509.08155 (2015) - [i2]Sudeep Pillai, Srikumar Ramalingam, John J. Leonard:
High-Performance and Tunable Stereo Reconstruction. CoRR abs/1511.00758 (2015) - [i1]Michael Salvato, Ross Finman, John J. Leonard:
Multi-Volume High Resolution RGB-D Mapping with Dynamic Volume Placement. CoRR abs/1511.07106 (2015) - 2014
- [j26]Stephen Williams, Vadim Indelman, Michael Kaess, Richard Roberts, John J. Leonard, Frank Dellaert:
Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing. Int. J. Robotics Res. 33(12): 1544-1568 (2014) - [j25]David M. Rosen, Michael Kaess, John J. Leonard:
RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation. IEEE Trans. Robotics 30(5): 1091-1108 (2014) - [c76]Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III:
A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR 2014: 3770-3777 - [c75]Padraig Corcoran, Michela Bertolotto, John J. Leonard:
Cognitively adequate topological robot localization and mapping. ISA@GIS 2014: 17-24 - [c74]David M. Rosen, Guoquan Huang, John J. Leonard:
Inference over heterogeneous finite-/infinite-dimensional systems using factor graphs and Gaussian processes. ICRA 2014: 1261-1268 - [c73]Guoquan Huang, Michael Kaess, John J. Leonard:
Towards consistent visual-inertial navigation. ICRA 2014: 4926-4933 - [c72]Ross Finman, Thomas Whelan, Michael Kaess, John J. Leonard:
Efficient incremental map segmentation in dense RGB-D maps. ICRA 2014: 5488-5494 - [c71]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Guoquan Huang, John J. Leonard, Silvia Ferrari:
Optimized visibility motion planning for target tracking and localization. IROS 2014: 76-82 - [c70]Liam Paull, Mae L. Seto, John J. Leonard:
Decentralized cooperative trajectory estimation for autonomous underwater vehicles. IROS 2014: 184-191 - [c69]Brent E. Tweddle, Timothy P. Setterfield, Alvar Saenz-Otero, David W. Miller, John J. Leonard:
Experimental evaluation of on-board, visual mapping of an object spinning in micro-gravity aboard the International Space Station. IROS 2014: 2333-2340 - [c68]Yasir Latif, Guoquan Huang, John J. Leonard, José Neira:
An Online Sparsity-Cognizant Loop-Closure Algorithm for Visual Navigation. Robotics: Science and Systems 2014 - 2013
- [j24]Maurice F. Fallon, Hordur Johannsson, Michael Kaess, John J. Leonard:
The MIT Stata Center dataset. Int. J. Robotics Res. 32(14): 1695-1699 (2013) - [j23]John McDonald, Michael Kaess, Cesar Dario Cadena Lerma, José Neira, John J. Leonard:
Real-time 6-DOF multi-session visual SLAM over large-scale environments. Robotics Auton. Syst. 61(10): 1144-1158 (2013) - [c67]Guoquan Huang, Michael Kaess, John J. Leonard:
Consistent sparsification for graph optimization. ECMR 2013: 150-157 - [c66]Ross Finman, Thomas Whelan, Michael Kaess, John J. Leonard:
Toward lifelong object segmentation from change detection in dense RGB-D maps. ECMR 2013: 178-185 - [c65]Guoquan Huang, Robert Truax, Michael Kaess, John J. Leonard:
Unscented iSAM: A consistent incremental solution to cooperative localization and target tracking. ECMR 2013: 248-254 - [c64]Mark VanMiddlesworth, Michael Kaess, Franz Hover, John J. Leonard:
Mapping 3D Underwater Environments with Smoothed Submaps. FSR 2013: 17-30 - [c63]Guoquan Huang, Michael Kaess, John J. Leonard, Stergios I. Roumeliotis:
Analytically-selected multi-hypothesis incremental MAP estimation. ICASSP 2013: 6481-6485 - [c62]Hordur Johannsson, Michael Kaess, Maurice F. Fallon, John J. Leonard:
Temporally scalable visual SLAM using a reduced pose graph. ICRA 2013: 54-61 - [c61]David M. Rosen, Michael Kaess, John J. Leonard:
Robust incremental online inference over sparse factor graphs: Beyond the Gaussian case. ICRA 2013: 1025-1032 - [c60]Thomas Whelan, Hordur Johannsson, Michael Kaess, John J. Leonard, John McDonald:
Robust real-time visual odometry for dense RGB-D mapping. ICRA 2013: 5724-5731 - [c59]Thomas Whelan, Michael Kaess, John J. Leonard, John McDonald:
Deformation-based loop closure for large scale dense RGB-D SLAM. IROS 2013: 548-555 - 2012
- [j22]Michael Kaess, Hordur Johannsson, Richard Roberts, Viorela Ila, John J. Leonard, Frank Dellaert:
iSAM2: Incremental smoothing and mapping using the Bayes tree. Int. J. Robotics Res. 31(2): 216-235 (2012) - [j21]Franz S. Hover, Ryan M. Eustice, Ayoung Kim, Brendan J. Englot, Hordur Johannsson, Michael Kaess, John J. Leonard:
Advanced perception, navigation and planning for autonomous in-water ship hull inspection. Int. J. Robotics Res. 31(12): 1445-1464 (2012) - [c58]Michael Kaess, Stephen Williams, Vadim Indelman, Richard Roberts, John J. Leonard, Frank Dellaert:
Concurrent filtering and smoothing. FUSION 2012: 1300-1307 - [c57]David M. Rosen, Michael Kaess, John J. Leonard:
An incremental trust-region method for Robust online sparse least-squares estimation. ICRA 2012: 1262-1269 - [c56]Maurice F. Fallon, Hordur Johannsson, John J. Leonard:
Efficient scene simulation for robust monte carlo localization using an RGB-D camera. ICRA 2012: 1663-1670 - [c55]Aisha Walcott-Bryant, Michael Kaess, Hordur Johannsson, John J. Leonard:
Dynamic pose graph SLAM: Long-term mapping in low dynamic environments. IROS 2012: 1871-1878 - [c54]Alexander Bahr, John J. Leonard, Alcherio Martinoli:
Dynamic positioning of beacon vehicles for cooperative underwater navigation. IROS 2012: 3760-3767 - [c53]Maurice F. Fallon, Hordur Johannsson, Jonathan Brookshire, Seth J. Teller, John J. Leonard:
Sensor fusion for flexible human-portable building-scale mapping. IROS 2012: 4405-4412 - 2011
- [c52]John McDonald, Michael Kaess, Cesar Dario Cadena Lerma, José Neira, John J. Leonard:
6-DOF Multi-session Visual SLAM using Anchor Nodes. ECMR 2011: 69-76 - [c51]Robert Truax, Robert Platt Jr., John J. Leonard:
Using prioritized relaxations to locate objects in points clouds for manipulation. ICRA 2011: 2091-2097 - [c50]Maurice F. Fallon, Michael Kaess, Hordur Johannsson, John J. Leonard:
Efficient AUV navigation fusing acoustic ranging and side-scan sonar. ICRA 2011: 2398-2405 - [c49]Michael Kaess, Hordur Johannsson, Richard Roberts, Viorela Ila, John J. Leonard, Frank Dellaert:
iSAM2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering. ICRA 2011: 3281-3288 - 2010
- [j20]Maurice F. Fallon, Georgios Papadopoulos, John J. Leonard, Nicholas M. Patrikalakis:
Cooperative AUV Navigation using a Single Maneuvering Surface Craft. Int. J. Robotics Res. 29(12): 1461-1474 (2010) - [j19]Albert S. Huang, Matthew E. Antone, Edwin Olson, Luke Fletcher, David Moore, Seth J. Teller, John J. Leonard:
A High-rate, Heterogeneous Data Set From The DARPA Urban Challenge. Int. J. Robotics Res. 29(13): 1595-1601 (2010) - [j18]Michael R. Benjamin, Henrik Schmidt, Paul M. Newman, John J. Leonard:
Nested autonomy for unmanned marine vehicles with MOOS-IvP. J. Field Robotics 27(6): 834-875 (2010) - [c48]Been Kim, Michael Kaess, Luke Fletcher, John J. Leonard, Abraham Bachrach, Nicholas Roy, Seth J. Teller:
Multiple relative pose graphs for robust cooperative mapping. ICRA 2010: 3185-3192 - [c47]Maurice F. Fallon, Georgios Papadopoulos, John J. Leonard:
A measurement distribution framework for cooperative navigation using multiple AUVs. ICRA 2010: 4256-4263 - [c46]Hordur Johannsson, Michael Kaess, Brendan J. Englot, Franz Hover, John J. Leonard:
Imaging sonar-aided navigation for autonomous underwater harbor surveillance. IROS 2010: 4396-4403 - [c45]Georgios Papadopoulos, Maurice F. Fallon, John J. Leonard, Nicholas M. Patrikalakis:
Cooperative localization of marine vehicles using nonlinear state estimation. IROS 2010: 4874-4879 - [c44]Jacques C. Leedekerken, Maurice F. Fallon, John J. Leonard:
Mapping Complex Marine Environments with Autonomous Surface Craft. ISER 2010: 525-539
2000 – 2009
- 2009
- [j17]Alexander Bahr, John J. Leonard, Maurice F. Fallon:
Cooperative Localization for Autonomous Underwater Vehicles. Int. J. Robotics Res. 28(6): 714-728 (2009) - [c43]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:
A Perception-Driven Autonomous Urban Vehicle. The DARPA Urban Challenge 2009: 163-230 - [c42]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:
The MIT - Cornell Collision and Why It Happened. The DARPA Urban Challenge 2009: 509-548 - [c41]Maurice F. Fallon, Georgios Papadopoulos, John J. Leonard:
Cooperative AUV Navigation Using a Single Surface Craft. FSR 2009: 331-340 - [c40]Alexander Bahr, Matthew R. Walter, John J. Leonard:
Consistent cooperative localization. ICRA 2009: 3415-3422 - [c39]David C. Moore, Albert S. Huang, Matthew R. Walter, Edwin Olson, Luke Fletcher, John J. Leonard, Seth J. Teller:
Simultaneous local and global state estimation for robotic navigation. ICRA 2009: 3794-3799 - [c38]John Folkesson, John J. Leonard:
Autonomy through SLAM for an Underwater Robot. ISRR 2009: 55-70 - 2008
- [j16]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:
A perception-driven autonomous urban vehicle. J. Field Robotics 25(10): 727-774 (2008) - [j15]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:
The MIT-Cornell collision and why it happened. J. Field Robotics 25(10): 775-807 (2008) - [c37]Matthew R. Walter, Franz Hover, John J. Leonard:
SLAM for ship hull inspection using exactly sparse extended information filters. ICRA 2008: 1463-1470 - [p1]Sebastian Thrun, John J. Leonard:
Simultaneous Localization and Mapping. Springer Handbook of Robotics 2008: 871-889 - 2007
- [j14]Matthew R. Walter, Ryan Eustice, John J. Leonard:
Exactly Sparse Extended Information Filters for Feature-based SLAM. Int. J. Robotics Res. 26(4): 335-359 (2007) - [c36]Alexander Bahr, John J. Leonard:
Minimizing Trilateration Errors in the Presence of Uncertain Landmark Positions. EMCR 2007 - [c35]John Folkesson, Jacques Leederkerken, Rob Williams, Andrew Patrikalakis, John J. Leonard:
A Feature Based Navigation System for an Autonomous Underwater Robot. FSR 2007: 105-114 - [c34]John Folkesson, John J. Leonard, Jacques Leederkerken, Rob Williams:
Feature tracking for underwater navigation using sonar. IROS 2007: 3678-3684 - [c33]Edwin Olson, John J. Leonard, Seth J. Teller:
Spatially-Adaptive Learning Rates for Online Incremental SLAM. Robotics: Science and Systems 2007 - 2006
- [j13]Ryan Eustice, Hanumant Singh, John J. Leonard, Matthew R. Walter:
Visually Mapping the RMS Titanic: Conservative Covariance Estimates for SLAM Information Filters. Int. J. Robotics Res. 25(12): 1223-1242 (2006) - [j12]Michael R. Benjamin, John J. Leonard, Joseph A. Curcio, Paul M. Newman:
A method for protocol-based collision avoidance between autonomous marine surface craft. J. Field Robotics 23(5): 333-346 (2006) - [j11]Ryan M. Eustice, Hanumant Singh, John J. Leonard:
Exactly Sparse Delayed-State Filters for View-Based SLAM. IEEE Trans. Robotics 22(6): 1100-1114 (2006) - [c32]Edwin Olson, John J. Leonard, Seth J. Teller:
Fast Iterative Alignment of Pose Graphs with Poor Initial Estimates. ICRA 2006: 2262-2269 - [c31]Michael R. Benjamin, Joseph A. Curcio, John J. Leonard, Paul M. Newman:
Navigation of Unmanned Marine Vehicles in Accordance with the Rules of the Road. ICRA 2006: 3581-3587 - [c30]Donald P. Eickstedt, Michael R. Benjamin, Henrik Schmidt, John J. Leonard:
Adaptive Control of Heterogeneous Marine Sensor Platforms in an Autonomous Sensor Network. IROS 2006: 5514-5521 - [c29]Alexander Bahr, John J. Leonard:
Cooperative Localization for Autonomous Underwater Vehicles. ISER 2006: 387-395 - [c28]Carrick Detweiler, John J. Leonard, Daniela Rus, Seth J. Teller:
Passive Mobile Robot Localization within a Fixed Beacon Field. WAFR 2006: 425-440 - 2005
- [c27]Ryan M. Eustice, Hanumant Singh, John J. Leonard:
Exactly Sparse Delayed-State Filters. ICRA 2005: 2417-2424 - [c26]Ryan Eustice, Matthew R. Walter, John J. Leonard:
Sparse extended information filters: insights into sparsification. IROS 2005: 3281-3288 - [c25]Matthew R. Walter, Ryan Eustice, John J. Leonard:
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters. ISRR 2005: 214-234 - [c24]Ryan Eustice, Hanumant Singh, John J. Leonard, Matthew R. Walter, Robert Ballard:
Visually Navigating the RMS Titanic with SLAM Information Filters. Robotics: Science and Systems 2005: 57-64 - [c23]Edwin Olson, Matthew R. Walter, Seth J. Teller, John J. Leonard:
Single-Cluster Spectral Graph Partitioning for Robotics Applications. Robotics: Science and Systems 2005: 265-272 - 2004
- [j10]Michael Bosse, Paul M. Newman, John J. Leonard, Seth J. Teller:
Simultaneous Localization and Map Building in Large-Scale Cyclic Environments Using the Atlas Framework. Int. J. Robotics Res. 23(12): 1113-1139 (2004) - [c22]Richard J. Rikoski, John J. Leonard, Paul M. Newman, Henrik Schmidt:
Trajectory Sonar Perception in the Ligurian Sea. ISER 2004: 557-570 - [c21]David C. Moore, John J. Leonard, Daniela Rus, Seth J. Teller:
Robust distributed network localization with noisy range measurements. SenSys 2004: 50-61 - 2003
- [j9]Michael Bosse, Richard J. Rikoski, John J. Leonard, Seth J. Teller:
Vanishing points and three-dimensional lines from omni-directional video. Vis. Comput. 19(6): 417-430 (2003) - [c20]Richard J. Rikoski, John J. Leonard:
Trajectory sonar perceptio. ICRA 2003: 963-970 - [c19]Paul M. Newman, Michael Bosse, John J. Leonard:
Autonomous feature-based exploration. ICRA 2003: 1234-1240 - [c18]Michael Bosse, Paul M. Newman, John J. Leonard, Martin Soika, Wendelin Feiten, Seth J. Teller:
An atlas framework for scalable mapping. ICRA 2003: 1899-1906 - [c17]Paul M. Newman, John J. Leonard:
Pure range-only sub-sea SLAM. ICRA 2003: 1921-1926 - [c16]John J. Leonard, Paul M. Newman:
Consistent, Convergent, and Constant-Time SLAM. IJCAI 2003: 1143-1150 - [c15]Paul M. Newman, John J. Leonard, Richard J. Rikoski:
Towards Constant-Time SLAM on an Autonomous Underwater Vehicle Using Synthetic Aperture Sonar. ISRR 2003: 409-420 - 2002
- [j8]Juan D. Tardós, José Neira, Paul M. Newman, John J. Leonard:
Robust Mapping and Localization in Indoor Environments Using Sonar Data. Int. J. Robotics Res. 21(4): 311-330 (2002) - [j7]John J. Leonard, Richard J. Rikoski, Paul M. Newman, Michael Bosse:
Mapping Partially Observable Features from Multiple Uncertain Vantage Points. Int. J. Robotics Res. 21(10-11): 943-976 (2002) - [c14]Michael Bosse, Richard J. Rikoski, John J. Leonard, Seth J. Teller:
Vanishing points and 3D lines from omnidirectional video. ICIP (3) 2002: 513-516 - [c13]Richard J. Rikoski, John J. Leonard, Paul M. Newman:
Stochastic Mapping Frameworks. ICRA 2002: 426-433 - [c12]Paul M. Newman, John J. Leonard, Juan D. Tardós, José Neira:
Explore and Return: Experimental Validation of Real-Time Concurrent Mapping and Localization. ICRA 2002: 1802-1809 - [c11]John W. Fenwick, Paul M. Newman, John J. Leonard:
Cooperative Concurrent Mapping and Localization. ICRA 2002: 1810-1817 - 2001
- [j6]John J. Leonard, Robert N. Carpenter, Hans Jacob S. Feder:
Stochastic mapping using forward look sonar. Robotica 19(5): 467-480 (2001) - [c10]John J. Leonard, Paul M. Newman, Richard J. Rikoski, José Neira, Juan D. Tardós:
Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization. ISRR 2001: 7-20 - 2000
- [j5]Jong Hwan Lim, John J. Leonard:
Mobile Robot Relocation from Echolocation Constraints. IEEE Trans. Pattern Anal. Mach. Intell. 22(9): 1035-1041 (2000) - [c9]John J. Leonard, Richard J. Rikoski:
Incorporation of Delayed Decision Making into Stochastic Mapping. ISER 2000: 533-542
1990 – 1999
- 1999
- [j4]Hans Jacob S. Feder, John J. Leonard, Christopher M. Smith:
Adaptive Mobile Robot Navigation and Mapping. Int. J. Robotics Res. 18(7): 650-668 (1999) - [c8]Jong Hwan Lim, John J. Leonard, Seung Kyun Kang:
Mobile robot relocation using echolocation constraints. IROS 1999: 154-159 - [c7]John J. Leonard, Hans Jacob S. Feder:
Experimental Analysis of Adaptive Concurrent Mapping and Localization Using Sonar. ISER 1999: 297-306 - 1998
- [j3]Jerome Vaganay, James G. Bellingham, John J. Leonard:
Comparison of fix computation and filtering for autonomous acoustic navigation. Int. J. Syst. Sci. 29(10): 1111-1122 (1998) - [c6]Hans Jacob S. Feder, John J. Leonard, Christopher M. Smith:
Adaptive concurrent mapping and localization using sonar. IROS 1998: 892-898 - 1996
- [c5]Jerome Vaganay, John J. Leonard, James G. Bellingham:
Outlier rejection for autonomous acoustic navigation. ICRA 1996: 2174-2181 - 1995
- [c4]John J. Leonard, Bradley A. Moran, Ingemar J. Cox, Matthew L. Miller:
Underwater Sonar Data Fusion Using Efficient Multiple Hypothesis Algorithm. ICRA 1995: 2995-3002 - 1994
- [j2]Ingemar J. Cox, John J. Leonard:
Modeling a Dynamic Environment Using a Bayesian Multiple Hypothesis Approach. Artif. Intell. 66(2): 311-344 (1994) - 1991
- [j1]John J. Leonard, Hugh F. Durrant-Whyte:
Mobile robot localization by tracking geometric beacons. IEEE Trans. Robotics Autom. 7(3): 376-382 (1991) - [c3]John J. Leonard, Hugh F. Durrant-Whyte:
Simultaneous map building and localization for an autonomous mobile robot. IROS 1991: 1442-1447 - 1990
- [c2]John J. Leonard, Hugh F. Durrant-Whyte, Ingemar J. Cox:
Dynamic map building for autonomous mobile robot. IROS 1990: 89-96
1980 – 1989
- 1989
- [c1]Hugh F. Durrant-Whyte, John J. Leonard:
Navigation by Correlating Geometric Sensor Data. IROS 1989: 440-447
Coauthor Index
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