- Abstract:
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This paper details an application which yields significant improvements to the adeptness of place recognition with Frequency-Modulated Continuous-Wave scanning, 360-degrees field of view radar - a commercially promising sensor poised for exploitation in mobile autonomy. We show how a rotationally-invariant metric embedding for radar scans can be integrated into sequence-based trajectory matching systems typically applied to videos taken by visual sensors. Due to the complete horizontal field ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Files:
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(, 0.0b)
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- Publisher copy:
- 10.1109/PLANS46316.2020.9109951
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- Publisher:
- IEEE Publisher's website
- Host title:
- Position Location and Navigation (PLANS), IEEE Symposium
- Publication date:
- 2020-06-08
- Acceptance date:
- 2020-03-03
- Event title:
- IEEE/ION Position, Location and Navigation Symposium (PLANS) 2020
- Event location:
- Portland, Oregon
- Event website:
- https://www.ion.org/plans/
- Event start date:
- 2020-04-20T00:00:00Z
- Event end date:
- 2020-04-23T00:00:00Z
- DOI:
- Pubs id:
-
1092258
- Local pid:
- pubs:1092258
- Language:
- English
- Copyright holder:
- IEEE
- Copyright date:
- 2020
- Rights statement:
- © Copyright 2020 IEEE
- Notes:
- This is the accepted manuscript version of the item. The final version is available from IEEE at: 10.1109/PLANS46316.2020.9109951
Conference item
Look around you: sequence-based radar place recognition with learned rotational invariance
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