Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Zhonghui Pei"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract With the deep integration of wireless communication technology and automobile industry, vehicular communication has become one of the key technologies supporting the development of Internet-of-vehicle. Due to the high-speed mobility of vehic
Externí odkaz:
https://doaj.org/article/1caad370fea6433b8cafa311be734b96
Publikováno v:
Journal of Advanced Transportation, Vol 2022 (2022)
Mixed traffic is a common phenomenon in urban environment. For the mixed traffic situation, the detection of traffic obstacles, including motor vehicle, non-motor vehicle, and pedestrian, is an essential task for intelligent and connected vehicles (I
Externí odkaz:
https://doaj.org/article/9af9c9df708c4406a3338d9bba0c9613
Publikováno v:
Sensors, Vol 21, Iss 18, p 6092 (2021)
Beacon messages and emergency messages in vehicular ad hoc networks (VANETs) require a lower delay and higher reliability. The optimal MAC protocol can effectively reduce data collision in VANETs communication, thus minimizing delay and improving rel
Externí odkaz:
https://doaj.org/article/39d187e3b5464df491d30567ab39d9be
Publikováno v:
Sensors, Vol 20, Iss 21, p 6162 (2020)
To improve the standard point positioning (SPP) accuracy of integrated BDS (BeiDou Navigation Satellite System)/GPS (Global Positioning System) at the receiver end, a novel approach based on Long Short-Term Memory (LSTM) error correction recurrent ne
Externí odkaz:
https://doaj.org/article/9ddbe01694e8456dac33108d5ac76528
Publikováno v:
IEEE Sensors Journal. 22:12428-12443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7b80ed4cc874a668f22e261fe58dbae
https://doi.org/10.1109/jsen.2022.3175158
https://doi.org/10.1109/jsen.2022.3175158
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2022 (2022)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
The prediction of lane-change behavior is a challenging issue in intelligent and connected vehicles (ICVs), which can help vehicles predict in advance and change lanes safely. In this paper, a novel intelligent approach, which considering both the dr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33d0fb6213eed6cab2f2a8d8450bff5d
https://doi.org/10.1155/2022/9516218
https://doi.org/10.1155/2022/9516218
Publikováno v:
Mobile Information Systems, Vol 2020 (2020)
Vehicular Ad Hoc Network (VANET) is the basic technology of intelligent transportation systems for providing reliable and real-time communications between vehicles and vehicles or roadside units. In order to improve the communication quality of VANET
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90e7494f3085a597f2ce3a8fa6d36c94
https://doi.org/10.1155/2020/2741648
https://doi.org/10.1155/2020/2741648
Publikováno v:
2021 11th International Conference on Information Science and Technology (ICIST).
V2X technology enables the intelligent and connected vehicles (ICVs) to communicate with surrounding vehicles in real time. In order to obtain the data related to the lane-change behavior of the ICVs and its surrounding vehicles, a positioning data a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44a7d8f671d5b309d220829b3a1d8d06
https://doi.org/10.1109/icist52614.2021.9440581
https://doi.org/10.1109/icist52614.2021.9440581
Publikováno v:
ICCCS
The Medium Access Control (MAC) layer contention protocol is closely related to the performance of network throughput, end-to-end delay, and access fairness on the Internet of Vehicles (IoV) communication. Based on the MAC layer protocol of the Wirel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae5e4fe048b9dcad5e7db9b50845800a
https://doi.org/10.1109/icccs52626.2021.9449308
https://doi.org/10.1109/icccs52626.2021.9449308
Publikováno v:
Sensors
Volume 20
Issue 21
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6162, p 6162 (2020)
Volume 20
Issue 21
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6162, p 6162 (2020)
To improve the standard point positioning (SPP) accuracy of integrated BDS (BeiDou Navigation Satellite System)/GPS (Global Positioning System) at the receiver end, a novel approach based on Long Short-Term Memory (LSTM) error correction recurrent ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a3130d4f69b79dfcf8f42a95f0b6bcf