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Keeping an Eye on Things: Deep Learned Features for Long-Term Visual
  Localization

Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization

9 September 2021
Mona Gridseth
T. Barfoot
    SSL
ArXivPDFHTML

Papers citing "Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization"

7 / 7 papers shown
Title
Learning Cross-Spectral Point Features with Task-Oriented Training
Learning Cross-Spectral Point Features with Task-Oriented Training
Mia Thomas
Trevor Ablett
Jonathan Kelly
3DPC
16
0
0
19 May 2025
Toward Teach and Repeat Across Seasonal Deep Snow Accumulation
Toward Teach and Repeat Across Seasonal Deep Snow Accumulation
Matej Boxan
Alexander Krawciw
T. Barfoot
F. Pomerleau
31
0
0
02 May 2025
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics
Connor T. Holmes
Frederike Dumbgen
T. Barfoot
51
10
0
14 Aug 2023
What to Learn: Features, Image Transformations, or Both?
What to Learn: Features, Image Transformations, or Both?
Yuxuan Chen
Binbin Xu
Frederike Dumbgen
T. Barfoot
3DH
28
2
0
22 Jun 2023
Self-Supervised Feature Learning for Long-Term Metric Visual
  Localization
Self-Supervised Feature Learning for Long-Term Metric Visual Localization
Yuxuan Chen
T. Barfoot
SSL
25
9
0
30 Nov 2022
Are We Ready for Radar to Replace Lidar in All-Weather Mapping and
  Localization?
Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?
Keenan Burnett
Yuchen Wu
David J. Yoon
Angela P. Schoellig
T. Barfoot
33
63
0
18 Mar 2022
DeepMEL: Compiling Visual Multi-Experience Localization into a Deep
  Neural Network
DeepMEL: Compiling Visual Multi-Experience Localization into a Deep Neural Network
Mona Gridseth
T. Barfoot
37
10
0
05 Mar 2020
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