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Michael Kaess
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- affiliation: Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
- affiliation (former): MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2025
- [j33]Hung-Jui Huang
, Michael Kaess
, Wenzhen Yuan
:
NormalFlow: Fast, Robust, and Accurate Contact-Based Object 6DoF Pose Tracking With Vision-Based Tactile Sensors. IEEE Robotics Autom. Lett. 10(1): 452-459 (2025) - 2024
- [j32]Brendon Forsgren
, Michael Kaess, Ram Vasudevan, Timothy W. McLain, Joshua G. Mangelson:
Group-k consistent measurement set maximization via maximum clique over k-uniform hypergraphs for robust multi-robot map merging. Int. J. Robotics Res. 43(14): 2245-2273 (2024) - [j31]Easton R. Potokar
, Daniel McGann, Michael Kaess
:
Robust Preintegrated Wheel Odometry for Off-Road Autonomous Ground Vehicles. IEEE Robotics Autom. Lett. 9(12): 11649-11656 (2024) - [j30]Sudharshan Suresh
, Haozhi Qi, Tingfan Wu, Taosha Fan
, Luis Pineda, Mike Lambeta, Jitendra Malik
, Mrinal Kalakrishnan
, Roberto Calandra
, Michael Kaess
, Joseph Ortiz, Mustafa Mukadam:
NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. Sci. Robotics 9(96) (2024) - [c111]Samiran Gode, Akshay Hinduja, Michael Kaess:
SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars. ICRA 2024: 3766-3772 - [c110]Daniel McGann, Kyle Lassak, Michael Kaess:
Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM. ICRA 2024: 4577-4583 - [c109]Jui-Te Huang, Ruoyang Xu, Akshay Hinduja, Michael Kaess:
Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar. ICRA 2024: 12006-12012 - [c108]Mohamad Qadri, Zachary Manchester, Michael Kaess:
Learning Covariances for Estimation with Constrained Bilevel Optimization. ICRA 2024: 15951-15957 - [c107]Christopher Klammer, Michael Kaess:
BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis. IROS 2024: 5656-5663 - [c106]Lihong Jin, Wei Dong, Wenshan Wang, Michael Kaess:
BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment. IROS 2024: 11032-11039 - [c105]Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman:
A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. IROS 2024: 14071-14078 - [c104]Daniel McGann, Michael Kaess:
iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping. Robotics: Science and Systems 2024 - [c103]Mohamad Qadri
, Kevin Zhang
, Akshay Hinduja
, Michael Kaess
, Adithya Pediredla
, Christopher A. Metzler
:
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. SIGGRAPH (Conference Paper Track) 2024: 127 - [i40]Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla
, Christopher A. Metzler:
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. CoRR abs/2402.03309 (2024) - [i39]Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher A. Metzler, Suren Jayasuriya, Adithya Pediredla
:
Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion. CoRR abs/2404.04687 (2024) - [i38]Lihong Jin, Wei Dong, Michael Kaess:
BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment. CoRR abs/2405.09001 (2024) - [i37]Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman:
A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. CoRR abs/2405.16453 (2024) - [i36]Daniel McGann, Michael Kaess:
iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping. CoRR abs/2406.07371 (2024) - [i35]Christopher Klammer, Michael Kaess:
BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis. CoRR abs/2410.06410 (2024) - [i34]Darwin Mick, Taylor Pool, Madankumar Sathenahally Nagaraju, Michael Kaess, Howie Choset, Matthew J. Travers:
LiPO: LiDAR Inertial Odometry for ICP Comparison. CoRR abs/2410.08097 (2024) - [i33]Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam:
Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRR abs/2410.24090 (2024) - [i32]Hung-Jui Huang, Michael Kaess, Wenzhen Yuan:
NormalFlow: Fast, Robust, and Accurate Contact-based Object 6DoF Pose Tracking with Vision-based Tactile Sensors. CoRR abs/2412.09617 (2024) - 2023
- [j29]Wei Dong
, Yixing Lao
, Michael Kaess
, Vladlen Koltun
:
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5417-5435 (2023) - [c102]Ming-Fang Chang, Akash Sharma, Michael Kaess
, Simon Lucey
:
Neural Radiance Fields with LiDAR Maps. ICCV 2023: 17868-17877 - [c101]Mohamad Qadri, Michael Kaess
, Ioannis Gkioulekas
:
Neural Implicit Surface Reconstruction using Imaging Sonar. ICRA 2023: 1040-1047 - [c100]Tianxiang Lin
, Akshay Hinduja, Mohamad Qadri, Michael Kaess
:
Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. ICRA 2023: 1048-1054 - [c99]Daniel McGann, John G. Rogers, Michael Kaess
:
Robust Incremental Smoothing and Mapping (riSAM). ICRA 2023: 4157-4163 - [c98]Lipu Zhou, Jiacheng Liu, Fengguang Zhai, Pan Ai, Kefei Ren, Yinian Mao, Guoquan Huang, Ziyang Meng, Michael Kaess
:
Efficient Bundle Adjustment for Coplanar Points and Lines. ICRA 2023: 8356-8363 - [i31]Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson:
Group-k consistent measurement set maximization via maximum clique over k-Uniform hypergraphs for robust multi-robot map merging. CoRR abs/2308.02674 (2023) - [i30]Mohamad Qadri, Michael Kaess:
Learning Observation Models with Incremental Non-Differentiable Graph Optimizers in the Loop for Robotics State Estimation. CoRR abs/2309.02525 (2023) - [i29]Mohamad Qadri, Zachary Manchester, Michael Kaess:
Learning Covariances for Estimation with Constrained Bilevel Optimization. CoRR abs/2309.09718 (2023) - [i28]Daniel McGann, Kyle Lassak, Michael Kaess:
Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM. CoRR abs/2310.12320 (2023) - [i27]Samiran Gode, Akshay Hinduja, Michael Kaess:
SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars. CoRR abs/2310.15023 (2023) - [i26]Jui-Te Huang, Ruoyang Xu, Akshay Hinduja, Michael Kaess:
Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar. CoRR abs/2311.08608 (2023) - [i25]Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam:
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR abs/2312.13469 (2023) - 2022
- [j28]Eric Dexheimer
, Patrick Peluse, Jianhui Chen, James Pritts
, Michael Kaess
:
Information-Theoretic Online Multi-Camera Extrinsic Calibration. IEEE Robotics Autom. Lett. 7(2): 4757-4764 (2022) - [j27]Lipu Zhou
, Guoquan Huang
, Yinian Mao, Jincheng Yu
, Shengze Wang
, Michael Kaess
:
$\mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders. IEEE Robotics Autom. Lett. 7(3): 7163-7170 (2022) - [c97]Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam:
MidasTouch: Monte-Carlo inference over distributions across sliding touch. CoRL 2022: 319-331 - [c96]Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess
, Simon Lucey
:
Long-term Visual Map Sparsification with Heterogeneous GNN. CVPR 2022: 2396-2405 - [c95]Paloma Sodhi, Michael Kaess
, Mustafa Mukadam, Stuart Anderson:
PatchGraph: In-hand tactile tracking with learned surface normals. ICRA 2022: 2164-2170 - [c94]Easton R. Potokar
, Spencer Ashford, Michael Kaess
, Joshua G. Mangelson:
HoloOcean: An Underwater Robotics Simulator. ICRA 2022: 3040-3046 - [c93]Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan
, Michael Kaess
:
ShapeMap 3-D: Efficient shape mapping through dense touch and vision. ICRA 2022: 7073-7080 - [c92]Lipu Zhou, Guoquan Huang, Yinian Mao, Shengze Wang, Michael Kaess
:
EDPLVO: Efficient Direct Point-Line Visual Odometry. ICRA 2022: 7559-7565 - [c91]Yehonathan Litman, Daniel McGann, Eric Dexheimer, Michael Kaess
:
GPS-Denied Global Visual-Inertial Ground Vehicle State Estimation via Image Registration. ICRA 2022: 8178-8184 - [c90]Brendon Forsgren, Ram Vasudevan, Michael Kaess
, Timothy W. McLain, Joshua G. Mangelson:
Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. IROS 2022: 4849-4856 - [c89]Akshay Hinduja, Yunsik Ohm, Jiahe Liao
, Carmel Majidi, Michael Kaess
:
Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. IROS 2022: 5470-5477 - [c88]Mohamad Qadri, Paloma Sodhi, Joshua G. Mangelson, Frank Dellaert, Michael Kaess
:
InCOpt: Incremental Constrained Optimization using the Bayes Tree. IROS 2022: 6381-6388 - [c87]Easton R. Potokar
, Kalliyan Lay, Kalin Norman, Derek Benham, Tracianne B. Neilsen, Michael Kaess, Joshua G. Mangelson:
HoloOcean: Realistic Sonar Simulation. IROS 2022: 8450-8456 - [c86]Ruoyang Xu, Wei Dong, Akash Sharma, Michael Kaess
:
Learned Depth Estimation of 3D Imaging Radar for Indoor Mapping. IROS 2022: 13260-13267 - [i24]Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
:
Long-term Visual Map Sparsification with Heterogeneous GNN. CoRR abs/2203.15182 (2022) - [i23]Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson:
Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. CoRR abs/2209.02658 (2022) - [i22]Mohamad Qadri, Michael Kaess, Ioannis Gkioulekas:
Neural Implicit Surface Reconstruction using Imaging Sonar. CoRR abs/2209.08221 (2022) - [i21]Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess:
Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. CoRR abs/2209.11757 (2022) - [i20]Daniel McGann, John G. Rogers III, Michael Kaess:
Robust Incremental Smoothing and Mapping (riSAM). CoRR abs/2209.14359 (2022) - [i19]Akshay Hinduja, Yunsik Ohm, Jiahe Liao, Carmel Majidi, Michael Kaess:
Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. CoRR abs/2210.01089 (2022) - [i18]Bardienus Pieter Duisterhof, Yaoyu Hu, Si Heng Teng, Michael Kaess, Sebastian A. Scherer
:
TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags. CoRR abs/2210.02511 (2022) - [i17]Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam:
MidasTouch: Monte-Carlo inference over distributions across sliding touch. CoRR abs/2210.14210 (2022) - 2021
- [j26]Lipu Zhou
, Daniel Koppel, Michael Kaess
:
A Complete, Accurate and Efficient Solution for the Perspective-N-Line Problem. IEEE Robotics Autom. Lett. 6(2): 699-706 (2021) - [j25]Lipu Zhou
, Daniel Koppel, Michael Kaess
:
LiDAR SLAM With Plane Adjustment for Indoor Environment. IEEE Robotics Autom. Lett. 6(4): 7073-7080 (2021) - [j24]Lipu Zhou
, Shengze Wang, Michael Kaess
:
DPLVO: Direct Point-Line Monocular Visual Odometry. IEEE Robotics Autom. Lett. 6(4): 7113-7120 (2021) - [c85]Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess:
LEO: Learning Energy-based Models in Factor Graph Optimization. CoRL 2021: 234-244 - [c84]Lipu Zhou, Shengze Wang, Michael Kaess
:
π-LSAM: LiDAR Smoothing and Mapping With Planes. ICRA 2021: 5751-5757 - [c83]Montiel Abello, Joshua G. Mangelson, Michael Kaess
:
A Graph-Based Method for Joint Instance Segmentation of Point Clouds and Image Sequences. ICRA 2021: 9565-9571 - [c82]Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess
:
Tactile SLAM: Real-time inference of shape and pose from planar pushing. ICRA 2021: 11322-11328 - [c81]Akash Sharma, Wei Dong, Michael Kaess
:
Compositional and Scalable Object SLAM. ICRA 2021: 11626-11632 - [c80]Ming-Fang Chang, Joshua G. Mangelson, Michael Kaess
, Simon Lucey
:
HyperMap: Compressed 3D Map for Monocular Camera Registration. ICRA 2021: 11739-11745 - [c79]Paloma Sodhi, Michael Kaess
, Mustafa Mukadam, Stuart Anderson:
Learning Tactile Models for Factor Graph-based Estimation. ICRA 2021: 13686-13692 - [c78]Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess
:
Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar. IROS 2021: 5476-5483 - [c77]Ming-Fang Chang, Wei Dong, Joshua G. Mangelson, Michael Kaess
, Simon Lucey
:
Map Compressibility Assessment for LiDAR Registration. IROS 2021: 5560-5567 - [c76]Dehann Fourie, Antonio Terán Espinoza, Michael Kaess
, John J. Leonard:
Characterizing Marginalization and Incremental Operations on the Bayes Tree. WAFR 2021: 227-242 - [i16]Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess:
Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar. CoRR abs/2103.15317 (2021) - [i15]Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess:
CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping. CoRR abs/2107.07606 (2021) - [i14]Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess:
LEO: Learning Energy-based Models in Graph Optimization. CoRR abs/2108.02274 (2021) - [i13]Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess:
Efficient shape mapping through dense touch and vision. CoRR abs/2109.09884 (2021) - [i12]Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun:
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. CoRR abs/2110.00511 (2021) - [i11]Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson:
PatchGraph: In-hand tactile tracking with learned surface normals. CoRR abs/2111.07524 (2021) - [i10]Wei Dong, Kwonyoung Ryu, Michael Kaess, Jaesik Park:
Real-time Registration and Reconstruction with Cylindrical LiDAR Images. CoRR abs/2112.02779 (2021) - 2020
- [j23]Lipu Zhou
, Michael Kaess
:
Windowed Bundle Adjustment Framework for Unsupervised Learning of Monocular Depth Estimation With U-Net Extension and Clip Loss. IEEE Robotics Autom. Lett. 5(2): 3283-3290 (2020) - [c75]Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess
:
ICS: Incremental Constrained Smoothing for State Estimation. ICRA 2020: 279-285 - [c74]Lipu Zhou, Shengze Wang, Michael Kaess
:
A Fast and Accurate Solution for Pose Estimation from 3D Correspondences. ICRA 2020: 1308-1314 - [c73]Sudharshan Suresh, Paloma Sodhi, Joshua G. Mangelson, David Wettergreen
, Michael Kaess
:
Active SLAM using 3D Submap Saliency for Underwater Volumetric Exploration. ICRA 2020: 3132-3138 - [c72]Eric Westman, Ioannis Gkioulekas
, Michael Kaess
:
A Volumetric Albedo Framework for 3D Imaging Sonar Reconstruction. ICRA 2020: 9645-9651 - [c71]Vaibhav K. Viswanathan, Eric Dexheimer, Guanrui Li, Giuseppe Loianno
, Michael Kaess
, Sebastian A. Scherer
:
Efficient Trajectory Library Filtering for Quadrotor Flight in Unknown Environments. IROS 2020: 2510-2517 - [c70]Joshua Jaekel, Joshua G. Mangelson, Sebastian A. Scherer
, Michael Kaess
:
A Robust Multi-Stereo Visual-Inertial Odometry Pipeline. IROS 2020: 4623-4630 - [c69]Eric Dexheimer, Joshua G. Mangelson, Sebastian A. Scherer
, Michael Kaess
:
Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance. IROS 2020: 4758-4765 - [c68]Ming Hsiao, Joshua G. Mangelson, Sudharshan Suresh, Christian Debrunner, Michael Kaess
:
ARAS: Ambiguity-aware Robust Active SLAM based on Multi-hypothesis State and Map Estimations. IROS 2020: 5037-5044 - [c67]Eric Westman, Ioannis Gkioulekas
, Michael Kaess
:
A Theory of Fermat Paths for 3D Imaging Sonar Reconstruction. IROS 2020: 5082-5088 - [c66]Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrücker, Michael Kaess
:
An Efficient Planar Bundle Adjustment Algorithm. ISMAR 2020: 136-145 - [i9]Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrücker, Michael Kaess:
An Efficient Planar Bundle Adjustment Algorithm. CoRR abs/2006.00187 (2020) - [i8]Akash Sharma, Wei Dong, Michael Kaess:
Compositional Scalable Object SLAM. CoRR abs/2011.02658 (2020) - [i7]Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess:
Tactile SLAM: Real-time inference of shape and pose from planar pushing. CoRR abs/2011.07044 (2020) - [i6]Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson:
Learning Tactile Models for Factor Graph-based State Estimation. CoRR abs/2012.03768 (2020)
2010 – 2019
- 2019
- [j22]Shohin Mukherjee, Michael Kaess
, Joseph N. Martel, Cameron N. Riviere
:
EyeSAM: graph-based localization and mapping of retinal vasculature during intraocular microsurgery. Int. J. Comput. Assist. Radiol. Surg. 14(5): 819-828 (2019) - [j21]Sudharshan Suresh
, Eric Westman, Michael Kaess
:
Through-Water Stereo SLAM With Refraction Correction for AUV Localization. IEEE Robotics Autom. Lett. 4(2): 692-699 (2019) - [c65]Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess:
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. AAAI 2019: 9307-9315 - [c64]Ming Hsiao, Michael Kaess
:
MH-iSAM2: Multi-hypothesis iSAM using Bayes Tree and Hypo-tree. ICRA 2019: 1274-1280 - [c63]Yi Yang, Wei Dong, Michael Kaess
:
Surfel-Based Dense RGB-D Reconstruction With Global And Local Consistency. ICRA 2019: 5238-5244 - [c62]Ratnesh Madaan, Michael Kaess
, Sebastian A. Scherer
:
Multi-view Reconstruction of Wires using a Catenary Model. ICRA 2019: 5657-5664 - [c61]Zimo Li, Prakruti C. Gogia, Michael Kaess
:
Dense Surface Reconstruction from Monocular Vision and LiDAR. ICRA 2019: 6905-6911 - [c60]Akshay Hinduja, Bing-Jui Ho, Michael Kaess
:
Degeneracy-Aware Factors with Applications to Underwater SLAM. IROS 2019: 1293-1299 - [c59]Lipu Zhou, Michael Kaess
:
An Efficient and Accurate Algorithm for the Perspecitve-n-Point Problem. IROS 2019: 6245-6252 - [c58]Wei Dong, Jaesik Park
, Yi Yang, Michael Kaess
:
GPU Accelerated Robust Scene Reconstruction. IROS 2019: 7863-7870 - [c57]Paloma Sodhi, Bing-Jui Ho, Michael Kaess
:
Online and Consistent Occupancy Grid Mapping for Planning in Unknown Environments. IROS 2019: 7879-7886 - [c56]Pedro V. Teixeira, Dehann Fourie, Michael Kaess
, John J. Leonard:
Dense, Sonar-based Reconstruction of Underwater Scenes. IROS 2019: 8060-8066 - [c55]Eric Westman, Michael Kaess
:
Wide Aperture Imaging Sonar Reconstruction using Generative Models. IROS 2019: 8067-8074 - [i5]Lipu Zhou, Shengze Wang, Jiamin Ye, Michael Kaess:
Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences. CoRR abs/1904.01759 (2019) - 2018
- [j20]Jie Li
, Michael Kaess
, Ryan M. Eustice
, Matthew Johnson-Roberson:
Pose-Graph SLAM Using Forward-Looking Sonar. IEEE Robotics Autom. Lett. 3(3): 2330-2337 (2018) - [c54]Lipu Zhou, Jiamin Ye, Michael Kaess
:
A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences. ACCV (4) 2018: 273-288 - [c53]Eric Westman, Akshay Hinduja, Michael Kaess
:
Feature-Based SLAM for Imaging Sonar with Under-Constrained Landmarks. ICRA 2018: 1-9 - [c52]Ming Hsiao, Eric Westman, Michael Kaess
:
Dense Planar-Inertial SLAM with Structural Constraints. ICRA 2018: 6521-6528 - [c51]Jerry Hsiung, Ming Hsiao, Eric Westman, Rafael Valencia, Michael Kaess
:
Information Sparsification in Visual-Inertial Odometry. IROS 2018: 1146-1153 - [c50]Pedro V. Teixeira
, Franz S. Hover, John J. Leonard, Michael Kaess
:
Multibeam Data Processing for Underwater Mapping. IROS 2018: 1877-1884 - [c49]Bing-Jui Ho, Paloma Sodhi, Pedro Teixeira, Ming Hsiao, Tushar Kusnur, Michael Kaess
:
Virtual Occupancy Grid Map for Submap-based Pose Graph SLAM and Planning in 3D Environments. IROS 2018: 2175-2182 - [c48]