Matthew Johnson-Roberson

发表

Building 3D mosaics from an Autonomous Underwater Vehicle, Doppler velocity log, and 2D imaging sonar

Paul Ozog, Giancarlo Troni, Michael Kaess, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive Bayesian estimation

Jie Li, Paul Ozog, Ryan M. Eustice, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Deep Learning and Machine Learning in Robotics [From the Guest Editors]

Jens Kober, Matthew Johnson-Roberson, David Hsu, 2020, IEEE Robotics Autom. Mag..

Modeling Camera Effects to Improve Visual Learning from Synthetic Data

Matthew Johnson-Roberson, Katherine A. Skinner, Ram Vasudevan, 2018, ECCV Workshops.

Stochastic Sampling Simulation for Pedestrian Trajectory Prediction

Matthew Johnson-Roberson, Xiaoxiao Du, Ram Vasudevan, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments

Matthew Johnson-Roberson, Ram Vasudevan, Ming-Yuan Yu, 2018, IEEE Robotics and Automation Letters.

Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking

Matthew Johnson-Roberson, Ram Vasudevan, Pedro Hespanhol, 2020, 2020 IEEE Conference on Control Technology and Applications (CCTA).

Simulation and Real-World Evaluation of Attack Detection Schemes

Matthew Johnson-Roberson, Ram Vasudevan, Pedro Hespanhol, 2018, 2019 American Control Conference (ACC).

SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning.

Matthew Johnson-Roberson, Gideon Billings, M. Johnson-Roberson, 2018 .

Multi-altitude multi-sensor fusion framework for AUV exploration and survey

Jie Li, Matthew Johnson-Roberson, 2014, 2014 Oceans - St. John's.

DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation From Stereo Imagery

Matthew Johnson-Roberson, Junming Zhang, Katherine A. Skinner, 2018, IEEE Robotics and Automation Letters.

Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks

Matthew Johnson-Roberson, Ram Vasudevan, Ming-Yuan Yu, 2020, 2020 International Conference on 3D Vision (3DV).

A probabilistic framework for intrinsic image decomposition from RGB-D streams

Matthew Johnson-Roberson, Wonhui Kim, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception

Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du, 2020, IEEE Robotics & Automation Magazine.

Efficient View-Based SLAM Using Visual Loop Closures

Stefan B. Williams, Oscar Pizarro, Matthew Johnson-Roberson, 2008, IEEE Transactions on Robotics.

Energy Management for Autonomous Underwater Vehicles using Economic Model Predictive Control

Jing Sun, Matthew Johnson-Roberson, Mohammad Reza Amini, 2019, 2019 American Control Conference (ACC).

Reachable Sets for Safe, Real-Time Manipulator Trajectory Design pdf

Matthew Johnson-Roberson, Patrick Holmes, Ram Vasudevan, 2020, RSS 2020.

UWStereoNet: Unsupervised Learning for Depth Estimation and Color Correction of Underwater Stereo Imagery

Matthew Johnson-Roberson, Junming Zhang, Katherine A. Skinner, 2019, 2019 International Conference on Robotics and Automation (ICRA).

CROWDSOURCING FOR SEARCH OF DISASTER VICTIMS: A PRELIMINARY STUDY FOR SEARCH SYSTEM DESIGN

Alex Burnap, Panos Y. Papalambros, Matthew Johnson-Roberson, 2015 .

Colour-Consistent Structure-from-Motion Models using Underwater Imagery

Stefan B. Williams, Matthew Johnson-Roberson, Mitch Bryson, 2012, Robotics: Science and Systems.

High-level visual features for underwater place recognition

Jie Li, Ryan M. Eustice, Matthew Johnson-Roberson, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks?

Matthew Johnson-Roberson, Ram Vasudevan, Rounak Mehta, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Generation and visualization of large‐scale three‐dimensional reconstructions from underwater robotic surveys

Stefan B. Williams, Oscar Pizarro, Matthew Johnson-Roberson, 2010, J. Field Robotics.

Enhanced visual scene understanding through human-robot dialog

Danica Kragic, Jeannette Bohg, Gabriel Skantze, 2011, IROS 2011.

Pose-Graph SLAM Using Forward-Looking Sonar

Jie Li, Michael Kaess, Ryan M. Eustice, 2018, IEEE Robotics and Automation Letters.

Underwater robot visual place recognition in the presence of dramatic appearance change

Jie Li, Ryan M. Eustice, Matthew Johnson-Roberson, 2015, OCEANS 2015 - MTS/IEEE Washington.

Automated registration for multi-year robotic surveys of marine benthic habitats

Stefan B. Williams, Oscar Pizarro, Matthew Johnson-Roberson, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments pdf

Matthew Johnson-Roberson, Ramanarayan Vasudevan, Shreyas Kousik, 2017, ArXiv.

Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking pdf

Matthew Johnson-Roberson, Ram Vasudevan, Pedro Hespanhol, 2019, IEEE Transactions on Automatic Control.

Multi-view 3D reconstruction in underwater environments: Evaluation and benchmark

Matthew Johnson-Roberson, Katherine A. Skinner, Eduardo Iscar, 2017, OCEANS 2017 – Anchorage.

Mapping Submerged Archaeological Sites using Stereo‐Vision Photogrammetry

Matthew Johnson-Roberson, Oscar Pizarro, Ian Mahon, 2013 .

FFT-based Terrain Segmentation for Underwater Mapping

Stefan B. Williams, Navid Nourani-Vatani, Matthew Johnson-Roberson, 2012, Robotics: Science and Systems.

Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving

Matthew Johnson-Roberson, Ram Vasudevan, Ming-Yuan Yu, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Technical Report for Real-Time Certified Probabilistic Pedestrian Forecasting pdf

Matthew Johnson-Roberson, Ram Vasudevan, Henry O. Jacobs, 2017, ArXiv.

Off the Beaten Sidewalk: Pedestrian Prediction in Shared Spaces for Autonomous Vehicles

Matthew Johnson-Roberson, Ram Vasudevan, Cyrus Anderson, 2020, IEEE Robotics and Automation Letters.

Mind the gap - robotic grasping under incomplete observation

Danica Kragic, Jeannette Bohg, Javier Felip, 2011, 2011 IEEE International Conference on Robotics and Automation.

Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation

Matthew Johnson-Roberson, Katherine A. Skinner, Ram Vasudevan, 2018, IEEE Robotics and Automation Letters.

Reconstructing pavlopetri: Mapping the world's oldest submerged town using stereo-vision

Stefan B. Williams, Oscar Pizarro, Matthew Johnson-Roberson, 2011, 2011 IEEE International Conference on Robotics and Automation.

Synthetic Data Generation for Deep Learning of Underwater Disparity Estimation

Matthew Johnson-Roberson, Junming Zhang, Katherine A. Skinner, 2018, OCEANS 2018 MTS/IEEE Charleston.

A framework for enhanced localization of marine mammals using auto-detected video and wearable sensor data fusion

Kira Barton, Matthew Johnson-Roberson, Ding Zhang, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3-D Pedestrian Pose and Gait Prediction

Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du, 2018, IEEE Robotics and Automation Letters.

Shadow Transfer: Single Image Relighting For Urban Road Scenes pdf

Matthew Johnson-Roberson, Ram Vasudevan, Alexandra Carlson, 2019, ArXiv.

Real-Time Certified Probabilistic Pedestrian Forecasting

Matthew Johnson-Roberson, Ram Vasudevan, Henry O. Jacobs, 2017, IEEE Robotics and Automation Letters.

Robust Energy-optimal Path Following Control for Autonomous Underwater Vehicles in Ocean Currents

Jing Sun, Matthew Johnson-Roberson, Dongsik Chang, 2020, 2020 American Control Conference (ACC).

SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images

Matthew Johnson-Roberson, Gideon Billings, M. Johnson-Roberson, 2020, IEEE Robotics and Automation Letters.

Low Latency Trajectory Predictions for Interaction Aware Highway Driving

Matthew Johnson-Roberson, Ram Vasudevan, Cyrus Anderson, 2020, IEEE Robotics and Automation Letters.

Towards real-time underwater 3D reconstruction with plenoptic cameras

Matthew Johnson-Roberson, Katherine A. Skinner, M. Johnson-Roberson, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Pedestrian Planar LiDAR Pose (PPLP) Network for Oriented Pedestrian Detection Based on Planar LiDAR and Monocular Images

Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du, 2020, IEEE Robotics and Automation Letters.

Enhanced visual scene understanding through human-robot dialog

Danica Kragic, Jeannette Bohg, Gabriel Skantze, 2010, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Autonomous underwater vehicle–assisted surveying of drowned reefs on the shelf edge of the Great Barrier Reef, Australia

Stefan B. Williams, Oscar Pizarro, Matthew Johnson-Roberson, 2010, J. Field Robotics.

Pixel-Wise Motion Deblurring of Thermal Videos pdf

Matthew Johnson-Roberson, Ram Vasudevan, Zixu Zhang, 2020, Robotics: Science and Systems.

Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks

Matthew Johnson-Roberson, Brian M Hopkinson, Andrew C King, 2020, PloS one.

High‐Resolution Underwater Robotic Vision‐Based Mapping and Three‐Dimensional Reconstruction for Archaeology

Oscar Pizarro, Paul Ozog, Giancarlo Troni, 2017, J. Field Robotics.

Saliency ranking for benthic survey using underwater images

Stefan B. Williams, Matthew Johnson-Roberson, Oscar Pizarro, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Not-at-Fault Driving in Traffic: A Reachability-Based Approach

Matthew Johnson-Roberson, Ram Vasudevan, Shreyas Kousik, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Frequency-based underwater terrain segmentation

Stefan B. Williams, Navid Nourani-Vatani, Oscar Pizarro, 2013, Auton. Robots.

A constrained control-planning strategy for redundant manipulators

Matthew Johnson-Roberson, Ram Vasudevan, Corina Barbalata, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Parametric Design of Underwater Optical Systems pdf

Matthew Johnson-Roberson, Gideon Billings, Eduardo Iscar, 2020, ArXiv.

Airborne smoothing and mapping using vision and inertial sensors

Matthew Johnson-Roberson, Salah Sukkarieh, Mitch Bryson, 2009, 2009 IEEE International Conference on Robotics and Automation.

Out-of-Core Efficient Blending for Underwater Georeferenced Textured 3D Maps

Stefan B. Williams, Oscar Pizarro, Matthew Johnson-Roberson, 2013, 2013 Fourth International Conference on Computing for Geospatial Research and Application.

High-resolution Underwater Robotic Vision-based Mapping and 3D Reconstruction for Archaeology

Paul Ozog, Giancarlo Troni, Matthew Johnson-Roberson, 2016 .

True Color Correction of Autonomous Underwater Vehicle Imagery

Stefan B. Williams, Oscar Pizarro, Matthew Johnson-Roberson, 2016, J. Field Robotics.

Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle

Matthew Johnson-Roberson, Utkarsh Sharma, Ramanarayan Vasudevan, 2019, 2019 American Control Conference (ACC).

Real-Time Model Predictive Control for Energy Management in Autonomous Underwater Vehicle

Jing Sun, Matthew Johnson-Roberson, Mohammad Reza Amini, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Underwater Image Dehazing with a Light Field Camera

Matthew Johnson-Roberson, Katherine A. Skinner, M. Johnson-Roberson, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery

Matthew Johnson-Roberson, Ram Vasudevan, Junming Zhang, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Attention-based active 3D point cloud segmentation

Danica Kragic, Jeannette Bohg, Matthew Johnson-Roberson, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

WaterGAN: Unsupervised Generative Network to Enable Real-Time Color Correction of Monocular Underwater Images

Jie Li, Ryan M. Eustice, Matthew Johnson-Roberson, 2017, IEEE Robotics and Automation Letters.

Automatic color correction for 3D reconstruction of underwater scenes

Matthew Johnson-Roberson, Katherine A. Skinner, Eduardo Iscar, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design

Matthew Johnson-Roberson, Jinsun Liu, Ram Vasudevan, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

SilhoNet: An RGB Method for 6D Object Pose Estimation

Matthew Johnson-Roberson, Gideon Billings, M. Johnson-Roberson, 2018, IEEE Robotics and Automation Letters.

Towards distortion based underwater domed viewport camera calibration

Matthew Johnson-Roberson, Eduardo Iscar, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Failing to Learn: Autonomously Identifying Perception Failures for Self-Driving Cars

Matthew Johnson-Roberson, Ram Vasudevan, Cyrus Anderson, 2017, IEEE Robotics and Automation Letters.

Towards Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments pdf

Stewart Worrall, James R. Ward, Matthew Johnson-Roberson, 2019, Robotics: Science and Systems.

Experimental evaluation of depth controllers for a small-size AUV

Matthew Johnson-Roberson, Corina Barbalata, Eduardo Iscar, 2018, 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV).

Robust Environmental Mapping by Mobile Sensor Networks

Matthew Johnson-Roberson, Jinsun Liu, Ram Vasudevan, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

An Active Perception Approach for Mid-Water Localization of Autonomous Underwater Vehicles

Jing Sun, Matthew Johnson-Roberson, Dongsik Chang, 2020, 2020 American Control Conference (ACC).

On-Demand Trajectory Predictions for Interaction Aware Highway Driving pdf

Matthew Johnson-Roberson, Ram Vasudevan, Cyrus Anderson, 2019, ArXiv.

Point Set Voting for Partial Point Cloud Analysis

Matthew Johnson-Roberson, Ram Vasudevan, Yuping Wang, 2020, IEEE Robotics and Automation Letters.

Strategies for multi-modal scene exploration

Danica Kragic, Jeannette Bohg, Matthew Johnson-Roberson, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Modeling Camera Effects to Improve Deep Vision for Real and Synthetic Data pdf

Matthew Johnson-Roberson, Katherine A. Skinner, Alexandra Carlson, 2018, ArXiv.

PedX: Benchmark Dataset for Metric 3-D Pose Estimation of Pedestrians in Complex Urban Intersections

Matthew Johnson-Roberson, Ram Vasudevan, Ming-Yuan Yu, 2018, IEEE Robotics and Automation Letters.

BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation pdf

Yu Yao, Matthew Johnson-Roberson, Ram Vasudevan, 2020, IEEE Robotics and Automation Letters.

Mapping underwater ship hulls using a model-assisted bundle adjustment framework

Paul Ozog, Ryan M. Eustice, Matthew Johnson-Roberson, 2017, Robotics Auton. Syst..

Simultaneous Localisation and Mapping and Dense Stereoscopic Seafloor Reconstruction Using an AUV

Stefan B. Williams, Oscar Pizarro, Matthew Johnson-Roberson, 2008, ISER.

Localization and Tracking of Uncontrollable Underwater Agents: Particle Filter Based Fusion of On-Body IMUs and Stationary Cameras

Matthew Johnson-Roberson, Kira Barton, Joaquin Gabaldon, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Error modeling and calibration of exteroceptive sensors for accurate mapping applications

Stefan B. Williams, Matthew Johnson-Roberson, Oscar Pizarro, 2010 .

Autonomous surface vehicle 3D seafloor reconstruction from monocular images and sonar data

Matthew Johnson-Roberson, Eduardo Iscar, 2015, OCEANS 2015 - MTS/IEEE Washington.

Bridging the gap between safety and real-time performance in receding-horizon trajectory design for mobile robots

Matthew Johnson-Roberson, Fan Bu, Ram Vasudevan, 2018, Int. J. Robotics Res..

Financialized methods for market-based multi-sensor fusion

Matthew Johnson-Roberson, Jacob D. Abernethy, J. Abernethy, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems pdf

Matthew Johnson-Roberson, Gideon Billings, Richard Camilli, 2021, ArXiv.

BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation

Matthew Johnson-Roberson, Ella Atkins, Ram Vasudevan, 2021, IEEE Robotics and Automation Letters.

Towards Automated Sample Collection and Return in Extreme Underwater Environments pdf

Matthew Johnson-Roberson, Oscar Pizarro, Gideon Billings, 2021, Field Robotics.

Coupling Intent and Action for Pedestrian Crossing Behavior Prediction pdf

Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, 2021, IJCAI.

Energy-optimal Path Planning with Active Flow Perception for Autonomous Underwater Vehicles

Matthew Johnson-Roberson, Jing Sun, Dongsik Chang, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization pdf

Matthew Johnson-Roberson, Tianyi Zhang, 2021, ArXiv.

A Kinematic Model for Trajectory Prediction in General Highway Scenarios

Matthew Johnson-Roberson, Ram Vasudevan, Cyrus Anderson, 2021, IEEE Robotics and Automation Letters.

Resilient Control of Platooning Networked Robitic Systems via Dynamic Watermarking pdf

Matthew Johnson-Roberson, Ram Vasudevan, Pedro Hespanhol, 2021, ArXiv.

Detection and segmentation of underwater archaeological sites surveyed with stereo-vision platforms

Matthew Johnson-Roberson, Katherine A. Skinner, 2015, OCEANS 2015 - MTS/IEEE Washington.

Towards low cost, deep water AUV optical mapping

Matthew Johnson-Roberson, Corina Barbalata, Eduardo Iscar, 2018, OCEANS 2018 MTS/IEEE Charleston.

Repeatable Robotic Surveying of Marine Benthic Habitats for Monitoring Long-term Change

Stefan B. Williams, Matthew Johnson-Roberson, Mitch Bryson, 2012 .

Integration, Calibration, and Experimental Verification of a Speed Sensor for Swimming Animals

Matthew Johnson-Roberson, Kira Barton, Joaquin Gabaldon, 2019, IEEE Sensors Journal.