Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Xiaoxiong Weng"'
A deep learning approach for robust traffic accident information extraction from online chinese news
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 10, Pp 1847-1862 (2024)
Abstract Road traffic accidents are the leading causes of injuries and fatalities. Understanding the traffic accident occurrence pattern and its contributing factors are prerequisites for effective traffic safety management. The paper proposes a deep
Externí odkaz:
https://doaj.org/article/9e7064a44cfe4e57ad4d5cf9cdea5327
Autor:
Yancheng Ling, Xiaoxiong Weng
Publikováno v:
Promet (Zagreb), Vol 35, Iss 4, Pp 567-582 (2023)
Fatigue detection based on vision is widely employed in vehicles due to its real-time and reliable detection results. With the coronavirus disease (COVID-19) outbreak, many proposed detection systems based on facial characteristics would be unreliabl
Externí odkaz:
https://doaj.org/article/14b2841439734d08997cb24ddaa13b3a
Publikováno v:
Journal of Advanced Transportation, Vol 2023 (2023)
The evaluation of the impacts of new sections on the highway network is an essential aspect of the feasibility study. Existing studies predominantly concentrated on engineering-oriented feasibility assessments, often overlooking their potential effec
Externí odkaz:
https://doaj.org/article/7a5ae0627a7c49559e5028886fa54712
Publikováno v:
IEEE Access, Vol 9, Pp 67219-67231 (2021)
Eye state evaluation is crucial for vision-based driver fatigue detection. With the outbreak of COVID-19, many proposed models for eye location and state evaluation based on facial landmarks are unreliable due to mask coverings. In this paper, we pro
Externí odkaz:
https://doaj.org/article/b352442e9116461d9f4ac3466695cf22
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
Data quality is essential for its authentic usage in analysis and applications. The large volume of automated collection data inevidently suffers from data quality issues including data missing and invalidity. This paper deals with an invalid data pr
Externí odkaz:
https://doaj.org/article/67d97a927ecd41a1899ba1d6df55c350
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:12622-12632
This paper proposes a real-time multi-scale semantic segmentation network (MsNet). MsNet is a combination of our novel multi-scale fusion with matching attention model (MFMA) as the decoding network and the network searched by asymptotic neural archi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b9598fa12f00280631cfd4519f0cb9
https://doi.org/10.1109/tits.2021.3115705
https://doi.org/10.1109/tits.2021.3115705
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d8210c9b3da949beaacaf6e9566dc53
https://doi.org/10.1109/tits.2022.3225634
https://doi.org/10.1109/tits.2022.3225634
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2676:718-731
Data quality is the foundation of data-driven applications in transportation. Data problems such as missing and invalid data could sharply reduce the performance of the methods used in these applications. Although there exist plenty of studies relate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9af814f6c19787d882e5f8b40b6169e7
https://doi.org/10.1177/03611981211045370
https://doi.org/10.1177/03611981211045370
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeb3ca81e02a75111da774b3523c3fa4
https://doi.org/10.1109/iros47612.2022.9981047
https://doi.org/10.1109/iros47612.2022.9981047
Publikováno v:
2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70fff21c84815630bf05056759b2397f
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics55523.2022.00030
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics55523.2022.00030