Please use this identifier to cite or link to this item:
https://digital.lib.ueh.edu.vn/handle/UEH/62248
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Do T.H. | - |
dc.contributor.other | Nguyen N.L. | - |
dc.contributor.other | Vo H.T. | - |
dc.contributor.other | Nguyen T.B. | - |
dc.contributor.other | Vu Khanh N.T. | - |
dc.date.accessioned | 2021-09-05T02:41:44Z | - |
dc.date.available | 2021-09-05T02:41:44Z | - |
dc.date.issued | 2021 | - |
dc.identifier.isbn | 9781665418430 | - |
dc.identifier.uri | http://digital.lib.ueh.edu.vn/handle/UEH/62248 | - |
dc.description.abstract | Autonomous vehicle is the topic that gains a lot of attentions in recent years. To enable autonomous vehicle, a huge amount of data needs to be collected and processed. One of the most promising method to improve the accuracy of data collection is using vehicle communication. With the help of vehicle communication, controlling and warning signal can be transmitted between vehicles. Consequently, necessary information such as identity, position, speed, moving direction, future behavior can be obtained with higher accuracy. This paper focuses on a type of vehicle communication system called optical camera communication. One of the most important components of optical camera communication system is image processing. In this paper, a deep learning-based image processing algorithm is proposed for optical camera communication used for proactive data collecting system for autonomous vehicle. The experiment results show that the proposed algorithm can achieve much higher performance compared to its counterparts. | en |
dc.format | Portable Document Format (PDF) | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.ispartof | 2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter) | - |
dc.rights | IEEE | - |
dc.subject | Camera | en |
dc.subject | Communication | en |
dc.subject | Deep learning | en |
dc.subject | Detection | en |
dc.subject | LED region | en |
dc.subject | Vehicular | en |
dc.title | Deep learning based image processing for proactive data collecting system for autonomous vehicle | en |
dc.type | Conference Paper | en |
dc.identifier.doi | https://doi.org/10.1109/SNPDWinter52325.2021.00062 | - |
dc.format.firstpage | 253 | - |
dc.format.lastpage | 256 | - |
item.fulltext | Only abstracts | - |
item.languageiso639-1 | en | - |
item.openairetype | Conference Paper | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Conference Papers |
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