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ORCIDJohn J. Leonard
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- affiliation: MIT, Cambridge, USA
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2020 – today
- 2023
[c126]Antoni Rosinol, John J. Leonard, Luca Carlone:
Probabilistic Volumetric Fusion for Dense Monocular SLAM. WACV 2023: 3096-3104- [i45]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) - [i44]Yihao Zhang, Odin A. Severinsen, John J. Leonard, Luca Carlone, Kasra Khosoussi:
Data-Association-Free Landmark-based SLAM. CoRR abs/2302.13264 (2023) - [i43]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) - 2022
- [j46]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) - [j45]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) - [j44]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) - [j43]Kevin J. Doherty, Ziqi Lu, Kurran Singh, John J. Leonard:
Discrete-Continuous Smoothing and Mapping. IEEE Robotics Autom. Lett. 7(4): 12395-12402 (2022) - [c125]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 - [c124]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 - [c123]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 - [c122]Alan Papalia, Nicole Thumma, John J. Leonard:
Prioritized Planning for Cooperative Range-Only Localization in Multi-Robot Networks. ICRA 2022: 10753-10759 - [c121]Kevin J. Doherty, David M. Rosen, John J. Leonard:
Spectral Measurement Sparsification for Pose-Graph SLAM. IROS 2022: 1-8 - [c120]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
Robust Change Detection Based on Neural Descriptor Fields. IROS 2022: 2817-2824 - [c119]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 - [c118]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
- [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) - [c117]Deepak 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 - [c116]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 - [c115]Victor Amblard, Timothy P. Osedach, Arnaud Croux, Andrew Speck, John J. Leonard:
Lidar-Monocular Surface Reconstruction Using Line Segments. ICRA 2021: 5631-5637 - [c114]Yihao Zhang, John J. Leonard:
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior. ICRA 2021: 11732-11738 - [c113]Yihao Zhang, John J. Leonard:
Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation. IROS 2021: 2420-2427 - [c112]Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard:
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM. IROS 2021: 5432-5439 - [c111]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 - [c110]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 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) - [c109]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 - [c108]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 - [c107]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) - [c106]Kevin J. Doherty, Dehann Fourie, John J. Leonard:
Multimodal Semantic SLAM with Probabilistic Data Association. ICRA 2019: 2419-2425 - [c105]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 - [c104]Dehann Fourie, Pedro Vaz Teixeira, John J. Leonard:
Non-parametric Mixed-Manifold Products using Multiscale Kernel Densities. IROS 2019: 6656-6662 - [c103]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) - [c102]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 - [c101]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) - [c100]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 - [c99]Dehann Fourie, Samuel Claassens, Sudeep Pillai, Roxana Mata, John J. Leonard:
SLAMinDB: Centralized graph databases for mobile robotics. ICRA 2017: 6331-6337 - [c98]Sudeep Pillai, John J. Leonard:
Towards visual ego-motion learning in robots. IROS 2017: 5533-5540 - [c97]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) - [c96]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 - [c95]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 - [c94]David M. Rosen, Julian Mason, John J. Leonard:
Towards lifelong feature-based mapping in semi-static environments. ICRA 2016: 1063-1070 - [c93]Liam Paull, Guoquan Huang, John J. Leonard:
A unified resource-constrained framework for graph SLAM. ICRA 2016: 1346-1353 - [c92]Sudeep Pillai, Srikumar Ramalingam, John J. Leonard:
High-performance and tunable stereo reconstruction. ICRA 2016: 3188-3195 - [c91]Dehann Fourie, John J. Leonard, Michael Kaess:
A nonparametric belief solution to the Bayes tree. IROS 2016: 2189-2196 - [c90]Pedro V. Teixeira, Michael Kaess, Franz S. Hover, John J. Leonard:
Underwater inspection using sonar-based volumetric submaps. IROS 2016: 4288-4295 - [c89]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 - [c88]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) - [c87]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 - [c86]Ted J. Steiner, Guoquan Huang, John J. Leonard:
Location utility-based map reduction. ICRA 2015: 479-486 - [c85]Liam Paull, Guoquan Huang, Mae L. Seto, John J. Leonard:
Communication-constrained multi-AUV cooperative SLAM. ICRA 2015: 509-516 - [c84]Padraig Corcoran, Ted J. Steiner, Michela Bertolotto, John J. Leonard:
Appearance-based SLAM in a network space. ICRA 2015: 5791-5798 - [c83]David M. Rosen, Charles DuHadway, John J. Leonard:
A convex relaxation for approximate global optimization in simultaneous localization and mapping. ICRA 2015: 5822-5829 - [c82]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 - [c81]Kuan-Ting Yu, John J. Leonard, Alberto Rodriguez:
Shape and pose recovery from planar pushing. IROS 2015: 1208-1215 - [c80]Julian Straub, Nishchal Bhandari, John J. Leonard, John W. Fisher III:
Real-time manhattan world rotation estimation in 3D. IROS 2015: 1913-1920 - [c79]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 - [c78]Guoquan Huang, Kevin Eckenhoff, John J. Leonard:
Optimal-State-Constraint EKF for Visual-Inertial Navigation. ISRR (1) 2015: 125-139 - [c77]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 - [c76]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]