Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/17975
Title: | Adaptive Visual Interaction based Multi-target Future State Prediction for Autonomous Driving Vehicles |
Authors: | Du, L Wang, Z Wang, L Zhao, Z Su, F Zhuang, B Boulgouris, N |
Keywords: | state prediction;autonomous driving;adaptive visual interaction;adaptive prediction control mechanism;two-stream architecture |
Issue Date: | 2019 |
Publisher: | IEEE |
Citation: | IEEE Transactions on Vehicular Technology |
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. |
URI: | https://bura.brunel.ac.uk/handle/2438/17975 |
DOI: | https://doi.org/10.1109/TVT.2019.2905598 |
ISSN: | 0018-9545 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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FullText.pdf | 13.31 MB | Adobe PDF | View/Open |
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