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Cooperative object classification for driving applications
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Arnold, Eduardo, Al-Jarrah, Omar Y., Dianati, Mehrdad, Fallah, Saber, Oxtoby, David and Mouzakitis, Alexandros (2019) Cooperative object classification for driving applications. In: IEEE Symposium on Intelligent Vehicle, Paris, France, 9-12 Jun 2019. Published in: 2019 IEEE Intelligent Vehicles Symposium (IV) pp. 2484-2489. ISSN 2642-7214. doi:10.1109/IVS.2019.8813811
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WRAP-Cooperative-object-classification-driving-applications-2021.pdf - Accepted Version - Requires a PDF viewer. Download (1124Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/IVS.2019.8813811
Abstract
3D object classification can be realised by rendering views of the same object from different angles and aggregating all the views to build a classifier. Although this approach has been previously proposed for general objects classification, most existing works did not consider visual impairments. In contrast, this paper considers the problem of 3D object classification for driving applications under impairments (e.g. occlusion and sensor noise) by generating an application-specific dataset. We present a cooperative object classification method where multiple images of the same object seen from different perspectives (agents) are exploited to generate more accurate classification. We consider model generalisation capability and its resilience to impairments. We introduce an occlusion model with higher resemblance to real-world occlusion and use a simplified sensor noise model. The experimental results show that the cooperative model, relying on multiple views, significantly outperforms single-view methods and is effective in mitigating the effects of occlusion and sensor noise.
| Item Type: | Conference Item (Paper) | |||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RE Ophthalmology T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
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| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
| Library of Congress Subject Headings (LCSH): | Three-dimensional modeling , Pattern recognition systems, Shapes -- Computer simulation, Vision disorders , Computer vision | |||||||||
| Journal or Publication Title: | 2019 IEEE Intelligent Vehicles Symposium (IV) | |||||||||
| Publisher: | IEEE | |||||||||
| ISSN: | 2642-7214 | |||||||||
| Book Title: | 2019 IEEE Intelligent Vehicles Symposium (IV) | |||||||||
| Official Date: | 29 August 2019 | |||||||||
| Dates: |
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| Page Range: | pp. 2484-2489 | |||||||||
| DOI: | 10.1109/IVS.2019.8813811 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Publisher Statement: | © 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. | |||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | |||||||||
| Title of Event: | IEEE Symposium on Intelligent Vehicle | |||||||||
| Type of Event: | Conference | |||||||||
| Location of Event: | Paris, France | |||||||||
| Date(s) of Event: | 9-12 Jun 2019 |
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