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Computer Science

D-Index
56
Citations
12547
World Ranking
4075
National Ranking
1936

Overview

Ryan M. Eustice is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a significant focus on Aerospace Engineering and Computer Vision and Pattern Recognition as notable subfields.

The main topics of their work include:

  • Robotics and Sensor-Based Localization
  • 3D Shape Modeling and Analysis
  • 3D Surveying and Cultural Heritage
  • Robotic Locomotion and Control
  • Optical Measurement and Interference Techniques
  • Advanced Chemical Sensor Technologies
  • Advanced Vision and Imaging

Frequent publication venues for their research are:

  • arXiv (Cornell University)
  • IEEE Transactions on Robotics
  • The International Journal of Robotics Research
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Robotics and Automation Letters

Among their recent papers are:

  • "Contact-aided invariant extended Kalman filtering for robot state estimation," 2020, The International Journal of Robotics Research
  • "Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Energy-Based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning," 2022, IEEE Robotics and Automation Letters
  • "Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference," 2022, IEEE Transactions on Robotics
  • "A Robust Keyframe-Based Visual SLAM for RGB-D Cameras in Challenging Scenarios," 2023, IEEE Access

Ryan M. Eustice has collaborated frequently with several coauthors, including:

  • Maani Ghaffari
  • Jessy W. Grizzle
  • Ray Zhang
  • Lu Gan
  • Youngji Kim

Best Publications

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

    Jie Li;Katherine A. Skinner;Ryan M. Eustice;Matthew Johnson-Roberson

  • University of Michigan North Campus long-term vision and lidar dataset

    Nicholas Carlevaris-Bianco;Arash K Ushani;Ryan M Eustice

  • Initial results in underwater single image dehazing

    Nicholas Carlevaris-Bianco;Anush Mohan;Ryan M. Eustice

  • Visual localization within LIDAR maps for automated urban driving

    Ryan W. Wolcott;Ryan M. Eustice

  • Exactly Sparse Delayed-State Filters for View-Based SLAM

    R.M. Eustice;H. Singh;J.J. Leonard

  • Ford Campus vision and lidar data set

    Gaurav Pandey;James R Mcbride;Ryan M Eustice

  • Automatic targetless extrinsic calibration of a 3D lidar and camera by maximizing mutual information

    Gaurav Pandey;James R. McBride;Silvio Savarese;Ryan M. Eustice

  • Real-Time Visual SLAM for Autonomous Underwater Hull Inspection Using Visual Saliency

    Ayoung Kim;R. M. Eustice

  • Contact-aided invariant extended Kalman filtering for robot state estimation:

    Ross Hartley;Maani Ghaffari Jadidi;Jessy W. Grizzle;Ryan M. Eustice

  • Advanced perception, navigation and planning for autonomous in-water ship hull inspection

    Franz S. Hover;Ryan M. Eustice;Ayoung Kim;Brendan J. Englot

  • Visually Navigating the RMS Titanic with SLAM Information Filters

    Ryan Eustice;Hanumant Singh;John J. Leonard;Matthew R. Walter

  • Exactly Sparse Extended Information Filters for Feature-based SLAM

    Matthew R. Walter;Ryan M. Eustice;John J. Leonard

  • Automatic Extrinsic Calibration of Vision and Lidar by Maximizing Mutual Information

    Gaurav Pandey;James R. McBride;Silvio Savarese;Ryan M. Eustice

  • Exactly Sparse Delayed-State Filters

    R.M. Eustice;H. Singh;J.J. Leonard

  • Advances in single-beacon one-way-travel-time acoustic navigation for underwater vehicles

    Sarah E Webster;Ryan M Eustice;Hanumant Singh;Louis L Whitcomb;Louis L Whitcomb

  • Visually Augmented Navigation for Autonomous Underwater Vehicles

    R.M. Eustice;O. Pizarro;H. Singh

  • Fast LIDAR localization using multiresolution Gaussian mixture maps

    Ryan W. Wolcott;Ryan M. Eustice

  • Experimental Results in Synchronous-Clock One-Way-Travel-Time Acoustic Navigation for Autonomous Underwater Vehicles

    R.M. Eustice;L.L. Whitcomb;H. Singh;M. Grund

  • Visually Mapping the RMS Titanic: Conservative Covariance Estimates for SLAM Information Filters

    Ryan M. Eustice;Hanumant Singh;John J. Leonard;Matthew R. Walter

  • Pairwise Consistent Measurement Set Maximization for Robust Multi-Robot Map Merging

    Joshua G. Mangelson;Derrick Dominic;Ryan M. Eustice;Ram Vasudevan

  • Multipolicy Decision-Making for Autonomous Driving via Changepoint-based Behavior Prediction

    Enric Galceran;Alexander G. Cunningham;Ryan M. Eustice;Edwin Olson

Frequent Co-Authors

Hanumant Singh
Hanumant Singh Northeastern University
Edwin Olson
Edwin Olson University of Michigan–Ann Arbor
Jessy W. Grizzle
Jessy W. Grizzle University of Michigan–Ann Arbor
Louis L. Whitcomb
Louis L. Whitcomb Johns Hopkins University
Silvio Savarese
Silvio Savarese Stanford University
Matthew R. Walter
Matthew R. Walter Toyota Technological Institute at Chicago
Dimitris Sakellariou
Dimitris Sakellariou Hellenic Centre for Marine Research
Michael Kaess
Michael Kaess Carnegie Mellon University
Miriam Kastner
Miriam Kastner University of California, San Diego
Neal W. Driscoll
Neal W. Driscoll University of California, San Diego

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