Conference item
Precise ego-motion estimation with millimeter-wave radar under diverse and challenging conditions
- Abstract:
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In contrast to cameras, lidars, GPS, and proprioceptive sensors, radars are affordable and efficient systems that operate well under variable weather and lighting conditions, require no external infrastructure, and detect long-range objects. In this paper, we present a reliable and accurate radar-only motion estimation algorithm for mobile autonomous systems. Using a frequency-modulated continuous-wave (FMCW) scanning radar, we first extract landmarks with an algorithm that accounts for unwan...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Accepted manuscript, 7.0MB)
-
- Publisher copy:
- 10.1109/ICRA.2018.8460687
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Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Pages:
- 6045-6052
- Publication date:
- 2018-09-13
- Acceptance date:
- 2018-01-26
- Event title:
- 2018 IEEE International Conference on Robotics and Automation (ICRA 2018)
- Event location:
- Brisbane, Australia
- Event website:
- https://www.ieee-ras.org/component/rseventspro/event/570-icra-2018-ieee-international-conference-on-robotics-and-automation
- Event start date:
- 2018-05-21T00:00:00Z
- Event end date:
- 2018-05-26T00:00:00Z
- DOI:
- EISBN:
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9781538630815
- ISBN:
- 9781538630822
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
992958
- Local pid:
- pubs:992958
- Deposit date:
- 2021-03-04
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2018
- Rights statement:
- © 2018 IEEE.
- Notes:
- This paper was presented at the 2018 IEEE International Conference on Robotics and Automation (ICRA 2018), Brisbane, Australia, May 2018. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/ICRA.2018.8460687
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