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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/17975Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Du, L | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Wang, L | - |
| dc.contributor.author | Zhao, Z | - |
| dc.contributor.author | Su, F | - |
| dc.contributor.author | Zhuang, B | - |
| dc.contributor.author | Boulgouris, N | - |
| dc.date.accessioned | 2019-04-30T17:16:29Z | - |
| dc.date.available | 2019-04-30T17:16:29Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | IEEE Transactions on Vehicular Technology | en_US |
| dc.identifier.issn | 0018-9545 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/17975 | - |
| dc.description | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.description.sponsorship | Chinese National Natural Science Foundation; Graduate Innovation and Entrepreneurship Project of Beijing University of Posts and Telecommunications | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | state prediction | en_US |
| dc.subject | autonomous driving | en_US |
| dc.subject | adaptive visual interaction | en_US |
| dc.subject | adaptive prediction control mechanism | en_US |
| dc.subject | two-stream architecture | en_US |
| dc.title | Adaptive Visual Interaction based Multi-target Future State Prediction for Autonomous Driving Vehicles | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/TVT.2019.2905598 | - |
| dc.relation.isPartOf | IEEE Transactions on Vehicular Technology | - |
| pubs.publication-status | Published online | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 13.31 MB | Adobe PDF | View/Open |
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