Kirk MacTavish

Orcid: 0000-0003-0613-0650

According to our database1, Kirk MacTavish authored at least 13 papers between 2015 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2018
Selective memory: Recalling relevant experience for long-term visual localization.
J. Field Robotics, 2018

2017
Expanding the Limits of Vision-based Localization for Long-term Route-following Autonomy.
J. Field Robotics, 2017

TSLAM: Tethered simultaneous localization and mapping for mobile robots.
Int. J. Robotics Res., 2017

Visual triage: A bag-of-words experience selector for long-term visual route following.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Towards Visual Teach and Repeat for GPS-Denied Flight of a Fixed-Wing UAV.
Proceedings of the Field and Service Robotics, 2017

I Can See for Miles and Miles: An Extended Field Test of Visual Teach and Repeat 2.0.
Proceedings of the Field and Service Robotics, 2017

Night Rider: Visual Odometry Using Headlights.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2016
Bridging the appearance gap: Multi-experience localization for long-term visual teach and repeat.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

The line leading the blind: Towards nonvisual localization and mapping for tethered mobile robots.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Relative continuous-time SLAM.
Int. J. Robotics Res., 2015

It's not easy seeing green: Lighting-resistant stereo Visual Teach & Repeat using color-constant images.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Beyond a Shadow of a Doubt: Place Recognition with Colour-Constant Images.
Proceedings of the Field and Service Robotics, 2015

At all Costs: A Comparison of Robust Cost Functions for Camera Correspondence Outliers.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015


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