Lee E. Clement

Orcid: 0000-0002-3154-687X

According to our database1, Lee E. Clement authored at least 13 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Learning Matchable Image Transformations for Long-Term Metric Visual Localization.
IEEE Robotics Autom. Lett., 2020

2019
Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field].
IEEE Robotics Autom. Mag., 2019

Learning Matchable Colorspace Transformations for Long-term Metric Visual Localization.
CoRR, 2019

2018
How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change.
IEEE Robotics Autom. Lett., 2018

Inferring sun direction to improve visual odometry: A deep learning approach.
Int. J. Robotics Res., 2018

2017
Robust Monocular Visual Teach and Repeat Aided by Local Ground Planarity and Color-constant Imagery.
J. Field Robotics, 2017

How to Train a CAT: Learning Canonical Appearance Transformations for Robust Direct Localization Under Illumination Change.
CoRR, 2017

Reducing drift in visual odometry by inferring sun direction using a Bayesian Convolutional Neural Network.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Entropy-based sim(3) calibration of 2D lidars to egomotion sensors.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation.
Proceedings of the International Symposium on Experimental Robotics, 2016

2015
PROBE: Predictive robust estimation for visual-inertial navigation.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Monocular Visual Teach and Repeat Aided by Local Ground Planarity.
Proceedings of the Field and Service Robotics, 2015

The Battle for Filter Supremacy: A Comparative Study of the Multi-State Constraint Kalman Filter and the Sliding Window Filter.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015


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