Conference item
Keep off the grass: permissible driving routes from radar with weak audio supervision
- Abstract:
-
Reliable outdoor deployment of mobile robots requires the robust identification of permissible driving routes in a given environment. The performance of LiDAR and vision-based perception systems deteriorates significantly if certain environmental factors are present e.g. rain, fog, darkness. Perception systems based on Frequency-Modulated Continuous Wave scanning radar maintain full performance regardless of environmental conditions and with a longer range than alternative sensors. Learning t...
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- Publication status:
- Published
- Peer review status:
- Reviewed (other)
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- Publisher copy:
- 10.1109/ITSC45102.2020.9294415
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Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- Proceedings of the 2020 IEEE Intelligent Transportation Systems Conference (ITSC) Journal website
- Pages:
- 1-6
- Publication date:
- 2020-12-24
- Acceptance date:
- 2020-05-07
- Event title:
- IEEE Intelligent Transportation Systems Conference (ITSC)
- Event website:
- https://www.ieee-itsc2020.org/
- Event start date:
- 2020-09-20T00:00:00Z
- Event end date:
- 2020-09-23T00:00:00Z
- DOI:
- EISBN:
-
978-1-7281-4149-7
- ISBN:
- 978-1-7281-4150-3
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1103959
- Local pid:
- pubs:1103959
- Deposit date:
- 2020-05-11
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2020
- Rights statement:
- © IEEE 2020.
- Notes:
-
This paper will be presented at the 23rd IEEE International Conference on Intelligent Transportation Systems
September 20 – 23, 2020. This is the accepted manuscript version of the article. The final version is available from IEEE at: https://doi.org/10.1109/ITSC45102.2020.9294415
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