Conference item
Learning to see the wood for the trees: Deep laser localization in urban and natural environments on a CPU
- Abstract:
-
Localization in challenging, natural environments, such as forests or woodlands, is an important capability for many applications from guiding a robot navigating along a forest trail to monitoring vegetation growth with handheld sensors. In this letter, we explore laser-based localization in both urban and natural environments, which is suitable for online applications. We propose a deep learning approach capable of learning meaningful descriptors directly from three-dimensional point clouds ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Host title:
- IEEE Robotics and Automation Letters
- Journal:
- IEEE Robotics and Automation Letters
- Volume:
- 4
- Issue:
- 2
- Pages:
- 1327-1334
- Publication date:
- 2019-01-25
- Acceptance date:
- 2019-01-09
- DOI:
- ISSN:
-
2377-3766
Item Description
- Keywords:
- Pubs id:
-
pubs:1081439
- UUID:
-
uuid:e181235e-f4e4-408d-8235-6899d922bf59
- Local pid:
- pubs:1081439
- Source identifiers:
-
1081439
- Deposit date:
- 2020-01-09
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2019
- Notes:
- © IEEE 2019. This is the Accepted Manuscript version of the article. The final version is available online from IEEE at https://doi.org/10.1109/LRA.2019.2895264
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