Chi Hay Tong

According to our database¹, Chi Hay Tong authored at least 23 papers between 2010 and 2018.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2018

Learn from experience: Probabilistic prediction of perception performance to avoid failure.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

2017

Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Fit for Purpose? Predicting Perception Performance Based on Past Experience.

[BibT_eX]

[DOI]

Corina Gurau

Chi Hay Tong

Ingmar Posner

Proceedings of the International Symposium on Experimental Robotics, 2016

Off the beaten track: Predicting localisation performance in visual teach and repeat.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Continuous-time batch trajectory estimation using temporal basis functions.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2015

Batch nonlinear continuous-time trajectory estimation as exactly sparse Gaussian process regression.

[BibT_eX]

[DOI]

Auton. Robots, 2015

Scheduled perception for energy-efficient path following.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Know your limits: Embedding localiser performance models in teach and repeat maps.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception.

[BibT_eX]

[DOI]

Proceedings of the Field and Service Robotics, 2015

2014

Pose Interpolation for Laser-based Visual Odometry.

[BibT_eX]

[DOI]

J. Field Robotics, 2014

Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression.

[BibT_eX]

[DOI]

Tim D. Barfoot

Chi Hay Tong

Simo Särkkä

Proceedings of the Robotics: Science and Systems X, 2014

2013

The Canadian planetary emulation terrain 3D mapping dataset.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2013

Gaussian Process Gauss-Newton for non-parametric simultaneous localization and mapping.

[BibT_eX]

[DOI]

Chi Hay Tong

Paul Timothy Furgale

Timothy D. Barfoot

Int. J. Robotics Res., 2013

Into Darkness: Visual Navigation Based on a Lidar-Intensity-Image Pipeline.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2013

Gaussian Process Gauss-Newton for 3D laser-based Visual Odometry.

[BibT_eX]

[DOI]

Chi Hay Tong

Timothy D. Barfoot

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Blinded by the Light: Exploiting the Deficiencies of a Laser Rangefinder for Rover Attitude Estimation.

[BibT_eX]

[DOI]

Jonathan D. Gammell

Chi Hay Tong

Timothy D. Barfoot

Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

A Proof-of-Concept, Rover-Based System for Autonomously Locating Methane Gas Sources on Mars.

[BibT_eX]

[DOI]

Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

2012

Three-dimensional SLAM for mapping planetary work site environments.

[BibT_eX]

[DOI]

Chi Hay Tong

Timothy D. Barfoot

Erick Dupuis

J. Field Robotics, 2012

Gaussian Process Gauss-Newton: Non-Parametric State Estimation.

[BibT_eX]

[DOI]

Chi Hay Tong

Paul Timothy Furgale

Timothy D. Barfoot

Proceedings of the Ninth Conference on Computer and Robot Vision, 2012

2011

3D SLAM for planetary worksite mapping.

[BibT_eX]

[DOI]

Chi Hay Tong

Timothy D. Barfoot

Erick Dupuis

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

A self-calibrating 3D ground-truth localization system using retroreflective landmarks.

[BibT_eX]

[DOI]

Chi Hay Tong

Timothy D. Barfoot

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Batch heterogeneous outlier rejection for feature-poor SLAM.

[BibT_eX]

[DOI]

Chi Hay Tong

Timothy D. Barfoot

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

A Comparison of the EKF, SPKF, and the Bayes Filter for Landmark-Based Localization.

[BibT_eX]

[DOI]

Chi Hay Tong

Timothy D. Barfoot

Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

Chi Hay Tong

Timeline

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On csauthors.net:

Bibliography

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