Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/20328
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ahmed, S | - |
dc.contributor.author | Huda, MN | - |
dc.contributor.author | Rajbhandari, S | - |
dc.contributor.author | Saha, C | - |
dc.contributor.author | Elshaw, M | - |
dc.contributor.author | Kanarachos, S | - |
dc.coverage.spatial | London, United Kingdom | - |
dc.date.accessioned | 2020-02-18T11:47:25Z | - |
dc.date.available | 2019-07-17 | - |
dc.date.available | 2020-02-18T11:47:25Z | - |
dc.date.issued | 2019-07-17 | - |
dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, 11650 LNAI pp. 223 - 234 | en_US |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/20328 | - |
dc.format.extent | 223 - 234 | - |
dc.language.iso | en | en_US |
dc.publisher | Springer Nature | en_US |
dc.source | Annual Conference Towards Autonomous Robotic Systems | - |
dc.source | Annual Conference Towards Autonomous Robotic Systems | - |
dc.subject | pedestrian detection | en_US |
dc.subject | cyclist detection | en_US |
dc.subject | sensor fusion | en_US |
dc.subject | deep Neural Networks | en_US |
dc.title | Visual and thermal data for pedestrian and cyclist detection | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1007/978-3-030-25332-5_20 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
pubs.finish-date | 2019-07-05 | - |
pubs.finish-date | 2019-07-05 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2019-07-03 | - |
pubs.start-date | 2019-07-03 | - |
pubs.volume | 11650 LNAI | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | 4.7 MB | Adobe PDF | View/Open |
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