Conference item
Distant vehicle detection using radar and vision
- Alternative title:
- Conference paper
- Abstract:
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For autonomous vehicles to be able to operate successfully they need to be aware of other vehicles with sufficient time to make safe, stable plans. Given the possible closing speeds between two vehicles, this necessitates the ability to accurately detect distant vehicles. Many current image-based object detectors using convolutional neural networks exhibit excellent performance on existing datasets such as KITTI. However, the performance of these networks falls when detecting small (distant) ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Host title:
- 2019 IEEE International Conference on Robotics and Automation (ICRA)
- Journal:
- 2019 IEEE International Conference on Robotics and Automation (ICRA) Journal website
- Pages:
- 8311-8317
- Publication date:
- 2019-08-12
- Acceptance date:
- 2019-01-31
- DOI:
- EISSN:
-
2577-087X
- ISSN:
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1050-4729
Item Description
- Keywords:
- Pubs id:
-
pubs:1026223
- UUID:
-
uuid:0bb1a1d5-21ab-4bd3-9402-8a3c394bd236
- Local pid:
- pubs:1026223
- Source identifiers:
-
1026223
- Deposit date:
- 2019-07-03
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2019
- Notes:
- © 2019 IEEE. This conference paper was presented at the 2019 IEEE International Conference on Robotics and Automation (ICRA), May 20-24, 2019, Montreal, Canada.
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