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2020 – today
- 2022
[j33]Tianyi Zhang
, Matthew Johnson-Roberson:
Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization. IEEE Robotics Autom. Lett. 7(2): 5087-5094 (2022)- [j32]Gideon Billings, Richard Camilli, Matthew Johnson-Roberson:
Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems. IEEE Robotics Autom. Lett. 7(3): 6798-6805 (2022) - [j31]Dongsik Chang, Matthew Johnson-Roberson, Jing Sun:
An Active Perception Framework for Autonomous Underwater Vehicle Navigation Under Sensor Constraints. IEEE Trans. Control. Syst. Technol. 30(6): 2301-2316 (2022) - [j30]Niankai Yang, Dongsik Chang, Matthew Johnson-Roberson, Jing Sun:
Energy-Optimal Control for Autonomous Underwater Vehicles Using Economic Model Predictive Control. IEEE Trans. Control. Syst. Technol. 30(6): 2377-2390 (2022) - [c51]Niankai Yang, Chao Shen, Matthew Johnson-Roberson, Jing Sun:
Energy-optimal Three-dimensional Path-following Control of Autonomous Underwater Vehicles under Ocean Currents. CCTA 2022: 1396-1401 - [c50]Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
LiSnowNet: Real-time Snow Removal for LiDAR Point Clouds. IROS 2022: 6820-6826 - [i45]Niankai Yang, Chao Shen, Matthew Johnson-Roberson, Jing Sun:
Energy-optimal Three-dimensional Path-following Control of Autonomous Underwater Vehicles under Ocean Currents. CoRR abs/2203.12055 (2022) - [i44]Alexandra Carlson, Manikandasriram Srinivasan Ramanagopal, Nathan Tseng, Matthew Johnson-Roberson, Ram Vasudevan, Katherine A. Skinner:
CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations. CoRR abs/2209.01194 (2022) - [i43]Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud. CoRR abs/2211.10023 (2022) - 2021
- [j29]Junming Zhang, Weijia Chen, Yuping Wang, Ram Vasudevan, Matthew Johnson-Roberson:
Point Set Voting for Partial Point Cloud Analysis. IEEE Robotics Autom. Lett. 6(2): 596-603 (2021) - [j28]Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du:
BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation. IEEE Robotics Autom. Lett. 6(2): 1463-1470 (2021) - [j27]Matthew Porter, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ramanarayan Vasudevan:
Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking. IEEE Trans. Autom. Control. 66(8): 3502-3517 (2021) - [c49]Niankai Yang, Dongsik Chang, Matthew Johnson-Roberson, Jing Sun:
Energy-optimal Path Planning with Active Flow Perception for Autonomous Underwater Vehicles. ICRA 2021: 9928-9934 - [c48]Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du:
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction. IJCAI 2021: 1238-1244 - [i42]Junming Zhang, Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks. CoRR abs/2101.00483 (2021) - [i41]Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson:
A Kinematic Model for Trajectory Prediction in General Highway Scenarios. CoRR abs/2103.16673 (2021) - [i40]Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du:
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction. CoRR abs/2105.04133 (2021) - [i39]Matthew Porter, Arnav Joshi, Sidhartha Dey, Qirui Wu, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan:
Resilient Control of Platooning Networked Robitic Systems via Dynamic Watermarking. CoRR abs/2106.07541 (2021) - [i38]Tianyi Zhang, Matthew Johnson-Roberson:
Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization. CoRR abs/2109.04087 (2021) - [i37]Gideon Billings, Richard Camilli, Matthew Johnson-Roberson:
Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems. CoRR abs/2112.03826 (2021) - [i36]Gideon Billings, Matthew Walter, Oscar Pizarro, Matthew Johnson-Roberson, Richard Camilli:
Towards Automated Sample Collection and Return in Extreme Underwater Environments. CoRR abs/2112.15127 (2021) - 2020
- [j26]Shreyas Kousik, Sean Vaskov, Fan Bu, Matthew Johnson-Roberson, Ram Vasudevan:
Bridging the gap between safety and real-time performance in receding-horizon trajectory design for mobile robots. Int. J. Robotics Res. 39(12) (2020) - [j25]Fan Bu, Trinh Le, Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson:
Pedestrian Planar LiDAR Pose (PPLP) Network for Oriented Pedestrian Detection Based on Planar LiDAR and Monocular Images. IEEE Robotics Autom. Lett. 5(2): 1626-1633 (2020) - [j24]Gideon Billings, Matthew Johnson-Roberson:
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images. IEEE Robotics Autom. Lett. 5(3): 4241-4248 (2020) - [j23]Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson:
Low Latency Trajectory Predictions for Interaction Aware Highway Driving. IEEE Robotics Autom. Lett. 5(4): 5456-5463 (2020) - [j22]Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson:
Off the Beaten Sidewalk: Pedestrian Prediction in Shared Spaces for Autonomous Vehicles. IEEE Robotics Autom. Lett. 5(4): 6892-6899 (2020) - [j21]Fabio Bonsignorio, David Hsu, Matthew Johnson-Roberson, Jens Kober:
Deep Learning and Machine Learning in Robotics [From the Guest Editors]. IEEE Robotics Autom. Mag. 27(2): 20-21 (2020) - [j20]Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson:
Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception. IEEE Robotics Autom. Mag. 27(2): 129-138 (2020) - [c47]Junming Zhang, Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks. 3DV 2020: 200-209 - [c46]Dongsik Chang, Matthew Johnson-Roberson, Jing Sun:
An Active Perception Approach for Mid-Water Localization of Autonomous Underwater Vehicles. ACC 2020: 671-676 - [c45]Niankai Yang, Dongsik Chang, Matthew Johnson-Roberson, Jing Sun:
Robust Energy-optimal Path Following Control for Autonomous Underwater Vehicles in Ocean Currents. ACC 2020: 5119-5124 - [c44]Matthew Porter, Sidhartha Dey, Arnav Joshi, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan:
Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking. CCTA 2020: 1-8 - [c43]Eduardo Iscar, Matthew Johnson-Roberson:
Towards distortion based underwater domed viewport camera calibration. ICRA 2020: 1896-1902 - [c42]Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving. ICRA 2020: 5363-5369 - [c41]Junming Zhang, Manikandasriram Srinivasan Ramanagopal, Ram Vasudevan, Matthew Johnson-Roberson:
LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery. ICRA 2020: 7829-7836 - [c40]Jinsun Liu, Pengcheng Zhao, Zhenyu Gan, Matthew Johnson-Roberson, Ram Vasudevan:
Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design. ICRA 2020: 10869-10875 - [c39]Patrick D. Holmes, Shreyas Kousik, Bohao Zhang, Daphna Raz, Corina Barbalata, Matthew Johnson-Roberson, Ram Vasudevan:
Reachable Sets for Safe, Real-Time Manipulator Trajectory Design. Robotics: Science and Systems 2020 - [c38]Manikandasriram Srinivasan Ramanagopal, Zixu Zhang, Ram Vasudevan, Matthew Johnson-Roberson:
Pixel-Wise Motion Deblurring of Thermal Videos. Robotics: Science and Systems 2020 - [i35]Matthew Porter, Sidhartha Dey, Arnav Joshi, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan:
Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking. CoRR abs/2001.09859 (2020) - [i34]Patrick D. Holmes, Shreyas Kousik, Bohao Zhang, Daphna Raz, Corina Barbalata, Matthew Johnson-Roberson, Ram Vasudevan:
Reachable Sets for Safe, Real-Time Manipulator Trajectory Design. CoRR abs/2002.01591 (2020) - [i33]Gideon Billings, Matthew Johnson-Roberson:
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images. CoRR abs/2002.12415 (2020) - [i32]Gideon Billings, Eduardo Iscar, Matthew Johnson-Roberson:
Parametric Design of Underwater Optical Systems. CoRR abs/2004.06763 (2020) - [i31]Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson:
Off The Beaten Sidewalk: Pedestrian Prediction In Shared Spaces For Autonomous Vehicles. CoRR abs/2006.00962 (2020) - [i30]Manikandasriram Srinivasan Ramanagopal, Zixu Zhang, Ram Vasudevan, Matthew Johnson-Roberson:
Pixel-Wise Motion Deblurring of Thermal Videos. CoRR abs/2006.04973 (2020) - [i29]Junming Zhang, Weijia Chen, Yuping Wang, Ram Vasudevan, Matthew Johnson-Roberson:
Point Set Voting for Partial Point Cloud Analysis. CoRR abs/2007.04537 (2020) - [i28]Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du:
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation. CoRR abs/2007.14558 (2020)
2010 – 2019
- 2019
- [j19]Junming Zhang, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson:
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation From Stereo Imagery. IEEE Robotics Autom. Lett. 4(2): 1162-1169 (2019) - [j18]Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson:
Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3-D Pedestrian Pose and Gait Prediction. IEEE Robotics Autom. Lett. 4(2): 1501-1508 (2019) - [j17]Wonhui Kim, Manikandasriram Srinivasan Ramanagopal, Charles Barto, Ming-Yuan Yu, Karl Rosaen, Nick Goumas, Ram Vasudevan, Matthew Johnson-Roberson:
PedX: Benchmark Dataset for Metric 3-D Pose Estimation of Pedestrians in Complex Urban Intersections. IEEE Robotics Autom. Lett. 4(2): 1940-1947 (2019) - [j16]Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments. IEEE Robotics Autom. Lett. 4(2): 2235-2241 (2019) - [j15]Alexandra Carlson, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson:
Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation. IEEE Robotics Autom. Lett. 4(3): 2431-2438 (2019) - [j14]Gideon Billings, Matthew Johnson-Roberson:
SilhoNet: An RGB Method for 6D Object Pose Estimation. IEEE Robotics Autom. Lett. 4(4): 3727-3734 (2019) - [c37]Matthew Porter, Arnav Joshi, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan:
Simulation and Real-World Evaluation of Attack Detection Schemes. ACC 2019: 551-558 - [c36]Sean Vaskov, Utkarsh Sharma, Shreyas Kousik, Matthew Johnson-Roberson, Ramanarayan Vasudevan:
Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle. ACC 2019: 705-710 - [c35]Niankai Yang, Dongsik Chang, Mohammad Reza Amini, Matthew Johnson-Roberson, Jing Sun:
Energy Management for Autonomous Underwater Vehicles using Economic Model Predictive Control. ACC 2019: 2639-2644 - [c34]Corina Barbalata, Ram Vasudevan, Matthew Johnson-Roberson:
A constrained control-planning strategy for redundant manipulators. ICRA 2019: 3073-3079 - [c33]Ding Zhang, Joaquin Gabaldon, Lisa Lauderdale, Matthew Johnson-Roberson, Lance J. Miller, Kira Barton, K. Alex Shorter:
Localization and Tracking of Uncontrollable Underwater Agents: Particle Filter Based Fusion of On-Body IMUs and Stationary Cameras. ICRA 2019: 6575-6581 - [c32]Katherine A. Skinner, Junming Zhang, Elizabeth A. Olson, Matthew Johnson-Roberson:
UWStereoNet: Unsupervised Learning for Depth Estimation and Color Correction of Underwater Stereo Imagery. ICRA 2019: 7947-7954 - [c31]Cyrus Anderson, Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson:
Stochastic Sampling Simulation for Pedestrian Trajectory Prediction. IROS 2019: 4236-4243 - [c30]Sean Vaskov, Hannah Larson, Shreyas Kousik, Matthew Johnson-Roberson, Ram Vasudevan:
Not-at-Fault Driving in Traffic: A Reachability-Based Approach. ITSC 2019: 2785-2790 - [c29]Sean Vaskov, Shreyas Kousik, Hannah Larson, Fan Bu, James Robert Ward, Stewart Worrall, Matthew Johnson-Roberson, Ram Vasudevan:
Towards Provably Not-At-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments. Robotics: Science and Systems 2019 - [i27]Sean Vaskov, Utkarsh Sharma, Shreyas Kousik, Matthew Johnson-Roberson, Ramanarayan Vasudevan:
Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle. CoRR abs/1902.01786 (2019) - [i26]Sean Vaskov, Shreyas Kousik, Hannah Larson, Fan Bu, James R. Ward, Stewart Worrall, Matthew Johnson-Roberson, Ram Vasudevan:
Towards Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments. CoRR abs/1902.02851 (2019) - [i25]Cyrus Anderson, Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson:
Stochastic Sampling Simulation for Pedestrian Trajectory Prediction. CoRR abs/1903.01860 (2019) - [i24]Junming Zhang, Manikandasriram Srinivasan Ramanagopal, Ram Vasudevan, Matthew Johnson-Roberson:
LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery. CoRR abs/1905.02744 (2019) - [i23]Niankai Yang, Dongsik Chang, Mohammad Reza Amini, Matthew Johnson-Roberson, Jing Sun:
Energy Management for Autonomous Underwater Vehicles Using Economic Model Predictive Control. CoRR abs/1906.08719 (2019) - [i22]Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson:
On-Demand Trajectory Predictions for Interaction Aware Highway Driving. CoRR abs/1909.05227 (2019) - [i21]Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving. CoRR abs/1909.08059 (2019) - [i20]Matthew Porter, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan:
Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking. CoRR abs/1909.08111 (2019) - [i19]Alexandra Carlson, Ram Vasudevan, Matthew Johnson-Roberson:
Shadow Transfer: Single Image Relighting For Urban Road Scenes. CoRR abs/1909.10363 (2019) - [i18]Jinsun Liu, Pengcheng Zhao, Zhenyu Gan, Matthew Johnson-Roberson, Ram Vasudevan:
Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design. CoRR abs/1909.11125 (2019) - 2018
- [j13]Jie Li, Katherine A. Skinner, Ryan M. Eustice, Matthew Johnson-Roberson:
WaterGAN: Unsupervised Generative Network to Enable Real-Time Color Correction of Monocular Underwater Images. IEEE Robotics Autom. Lett. 3(1): 387-394 (2018) - [j12]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) - [j11]Manikandasriram Srinivasan Ramanagopal, Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson:
Failing to Learn: Autonomously Identifying Perception Failures for Self-Driving Cars. IEEE Robotics Autom. Lett. 3(4): 3860-3867 (2018) - [c28]Niankai Yang, Mohammad Reza Amini, Matthew Johnson-Roberson, Jing Sun:
Real-Time Model Predictive Control for Energy Management in Autonomous Underwater Vehicle. CDC 2018: 4321-4326 - [c27]Alexandra Carlson, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson:
Modeling Camera Effects to Improve Visual Learning from Synthetic Data. ECCV Workshops (1) 2018: 505-520 - [c26]Hyongju Park, Jinsun Liu, Matthew Johnson-Roberson, Ram Vasudevan:
Robust Environmental Mapping by Mobile Sensor Networks. ICRA 2018: 2395-2402 - [i17]Alexandra Carlson, Katherine A. Skinner, Matthew Johnson-Roberson:
Modeling Camera Effects to Improve Deep Vision for Real and Synthetic Data. CoRR abs/1803.07721 (2018) - [i16]Wonhui Kim, Manikandasriram Srinivasan Ramanagopal, Charles Barto, Ming-Yuan Yu, Karl Rosaen, Nick Goumas, Ram Vasudevan, Matthew Johnson-Roberson:
PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections. CoRR abs/1809.03605 (2018) - [i15]Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson:
Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction. CoRR abs/1809.03705 (2018) - [i14]Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments. CoRR abs/1809.04629 (2018) - [i13]Junming Zhang, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson:
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery. CoRR abs/1809.04734 (2018) - [i12]Niankai Yang, Mohammad Reza Amini, Matthew Johnson-Roberson, Jing Sun:
Real-Time Model Predictive Control for Energy Management in Autonomous Underwater Vehicle. CoRR abs/1809.05192 (2018) - [i11]Alexandra Carlson, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson:
Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation. CoRR abs/1809.06256 (2018) - [i10]Shreyas Kousik, Sean Vaskov, Fan Bu, Matthew Johnson-Roberson, Ram Vasudevan:
Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots. CoRR abs/1809.06746 (2018) - [i9]Gideon Billings, Matthew Johnson-Roberson:
SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning. CoRR abs/1809.06893 (2018) - [i8]Corina Barbalata, Ram Vasudevan, Matthew Johnson-Roberson:
A constrained control-planning strategy for redundant manipulators. CoRR abs/1810.03945 (2018) - [i7]Matthew Porter, Arnav Joshi, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan:
Simulation and Real-World Evaluation of Attack Detection Schemes. CoRR abs/1810.07773 (2018) - 2017
- [j10]Matthew Johnson-Roberson, Mitch Bryson, Ariell Friedman, Oscar Pizarro, Giancarlo Troni, Paul Ozog, Jon C. Henderson:
High-Resolution Underwater Robotic Vision-Based Mapping and Three-Dimensional Reconstruction for Archaeology. J. Field Robotics 34(4): 625-643 (2017) - [j9]Henry O. Jacobs, Owen K. Hughes, Matthew Johnson-Roberson, Ram Vasudevan:
Real-Time Certified Probabilistic Pedestrian Forecasting. IEEE Robotics Autom. Lett. 2(4): 2064-2071 (2017) - [j8]Paul Ozog, Matthew Johnson-Roberson, Ryan M. Eustice:
Mapping underwater ship hulls using a model-assisted bundle adjustment framework. Robotics Auton. Syst. 87: 329-347 (2017) - [c25]Katherine A. Skinner, Matthew Johnson-Roberson:
Underwater Image Dehazing with a Light Field Camera. CVPR Workshops 2017: 1775-1782 - [c24]Matthew Johnson-Roberson, Charles Barto, Rounak Mehta, Sharath Nittur Sridhar, Karl Rosaen, Ram Vasudevan:
Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks? ICRA 2017: 746-753 - [c23]Katherine A. Skinner, Eduardo Iscar, Matthew Johnson-Roberson:
Automatic color correction for 3D reconstruction of underwater scenes. ICRA 2017: 5140-5147 - [c22]Joaquin Gabaldon, Ding Zhang, Kira Barton, Matthew Johnson-Roberson, K. Alex Shorter:
A framework for enhanced localization of marine mammals using auto-detected video and wearable sensor data fusion. IROS 2017: 2505-2510 - [c21]Wonhui Kim, Matthew Johnson-Roberson:
A probabilistic framework for intrinsic image decomposition from RGB-D streams. IROS 2017: 6498-6505 - [i6]Jie Li, Katherine A. Skinner, Ryan M. Eustice, Matthew Johnson-Roberson:
WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images. CoRR abs/1702.07392 (2017) - [i5]Shreyas Kousik, Sean Vaskov, Matthew Johnson-Roberson, Ramanarayan Vasudevan:
Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments. CoRR abs/1705.00091 (2017) - [i4]Henry O. Jacobs, Owen K. Hughes, Matthew Johnson-Roberson, Ram Vasudevan:
Technical Report for Real-Time Certified Probabilistic Pedestrian Forecasting. CoRR abs/1706.06563 (2017) - [i3]Manikandasriram Srinivasan Ramanagopal, Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson:
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars. CoRR abs/1707.00051 (2017) - [i2]Hyongju Park, Jinsun Liu, Matthew Johnson-Roberson, Ram Vasudevan:
Robust Environmental Mapping by Mobile Sensor Networks. CoRR abs/1711.07510 (2017) - 2016
- [j7]Mitch Bryson, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams:
True Color Correction of Autonomous Underwater Vehicle Imagery. J. Field Robotics 33(6): 853-874 (2016) - [c20]Jie Li, Paul Ozog, Jacob D. Abernethy, Ryan M. Eustice, Matthew Johnson-Roberson:
Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive Bayesian estimation. IROS 2016: 1230-1237 - [c19]Katherine A. Skinner, Matthew Johnson-Roberson:
Towards real-time underwater 3D reconstruction with plenoptic cameras. IROS 2016: 2014-2021 - [i1]Matthew Johnson-Roberson, Charles Barto, Rounak Mehta, Sharath Nittur Sridhar, Ram Vasudevan:
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? CoRR abs/1610.01983 (2016) - 2015
- [j6]Matthew Johnson-Roberson, Mitch Bryson, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams:
Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets. Comput. Vis. Image Underst. 131: 28-41 (2015) - [c18]Paul Ozog, Giancarlo Troni, Michael Kaess, Ryan M. Eustice, Matthew Johnson-Roberson:
Building 3D mosaics from an Autonomous Underwater Vehicle, Doppler velocity log, and 2D imaging sonar. ICRA 2015: 1137-1143 - [c17]Jie Li, Ryan M. Eustice, Matthew Johnson-Roberson:
High-level visual features for underwater place recognition. ICRA 2015: 3652-3659 - [c16]Jacob D. Abernethy, Matthew Johnson-Roberson:
Financialized methods for market-based multi-sensor fusion. IROS 2015: 900-907 - 2014
- [c15]Matthew Johnson-Roberson, Mitch Bryson, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams:
Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets. ICRA 2014: 6032-6039 - 2013
- [j5]Bertrand Douillard, Navid Nourani-Vatani, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams, Christopher N. Roman, Ian Vaughn:
Frequency-based underwater terrain segmentation. Auton. Robots 35(4): 255-269 (2013) - [c14]Matthew Johnson-Roberson, Mitch Bryson, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams:
Out-of-Core Efficient Blending for Underwater Georeferenced Textured 3D Maps. COM.Geo 2013: 8-15 - [c13]Mitch Bryson, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams:
Automated registration for multi-year robotic surveys of marine benthic habitats. IROS 2013: 3344-3349 - 2012
- [j4]Stefan B. Williams, Oscar Pizarro, Michael V. Jakuba, Craig R. Johnson, Neville Barrett, Russell C. Babcock, Gary A. Kendrick, Peter D. Steinberg, Andrew J. Heyward, Peter J. Doherty, Ian Mahon, Matthew Johnson-Roberson, Daniel M. Steinberg, Ariell Friedman:
Monitoring of Benthic Reference Sites: Using an Autonomous Underwater Vehicle. IEEE Robotics Autom. Mag. 19(1): 73-84 (2012)