Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Kejie, Lu"'
Publikováno v:
IEEE Transactions on Vehicular Technology. 72:6503-6517
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e0b571faa61e702a4010097ac039c30
https://doi.org/10.1109/tvt.2022.3231179
https://doi.org/10.1109/tvt.2022.3231179
Publikováno v:
IEEE Access, Vol 6, Pp 22849-22862 (2018)
To design and evaluate airborne networks (ANs), it is crucial to utilize random mobility models (RMMs) that capture the physical movement patterns of different aerial vehicles in real scenarios. Compared to expensive flight field tests, RMM-based mod
Externí odkaz:
https://doaj.org/article/4c34a1fd92024cc884cb282c0222f4f9
Publikováno v:
Journal of Materials Science & Technology. 131:185-194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32b87ab0b8bfa8a72dc9dcb41e4dcdec
https://doi.org/10.1016/j.jmst.2022.06.003
https://doi.org/10.1016/j.jmst.2022.06.003
Publikováno v:
Peer-to-Peer Networking and Applications. 16:295-311
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6104081c63de55a457d2478a14720ca7
https://doi.org/10.1007/s12083-022-01390-9
https://doi.org/10.1007/s12083-022-01390-9
Publikováno v:
IEEE Transactions on Cloud Computing. 10:2817-2833
In recent years, edge computing has attracted significant attention because it can effectively support many delay-sensitive applications. Despite such a salient feature, edge computing also faces many challenges, especially for efficiency and securit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b322d43209c4b326720a3220325dc310
https://doi.org/10.1109/tcc.2021.3050012
https://doi.org/10.1109/tcc.2021.3050012
Publikováno v:
IEEE Internet of Things Journal. 9:12338-12350
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75d08aa42fbed309f9cfa35d4032cbbe
https://doi.org/10.1109/jiot.2021.3135512
https://doi.org/10.1109/jiot.2021.3135512
Publikováno v:
IEEE Internet of Things Journal. 9:9190-9204
Modeling interactions among vehicles is critical in improving the efficiency and safety of autonomous driving since complex interactions are ubiquitous in many traffic scenarios. To model interactions under different traffic scenarios, most existing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d97c5a9c5abe1c79eeb91cb777b61009
https://doi.org/10.1109/jiot.2021.3093523
https://doi.org/10.1109/jiot.2021.3093523
Publikováno v:
IEEE Transactions on Network Science and Engineering. 9:1909-1923
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f650a58ad96b615238eb2b71d80e073
https://doi.org/10.1109/tnse.2022.3154758
https://doi.org/10.1109/tnse.2022.3154758
Publikováno v:
IEEE Internet of Things Journal. 9:6069-6080
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baa63b726180684454bd51bb1cf477ba
https://doi.org/10.1109/jiot.2021.3110784
https://doi.org/10.1109/jiot.2021.3110784
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 13:1-27
Sampling-based motion planning (SBMP) is a major algorithmic trajectory planning approach in autonomous driving given its high efficiency and outstanding performance in practice. However, driving safety still calls for further refinement of SBMP. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe91630e342040b00eac334c873e493c
https://doi.org/10.1145/3469086
https://doi.org/10.1145/3469086