Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Sean Qian"'
Autor:
Kan Guo, Daxin Tian, Yongli Hu, Yanfeng Sun, Zhen (Sean) Qian, Jianshan Zhou, Junbin Gao, Baocai Yin
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 2, Pp 290-301 (2024)
Abstract Contrastive learning is an increasingly important research direction and has attracted considerable attention in the field of computer vision. It can greatly improve the representativeness of image features through data augmentation, unsuper
Externí odkaz:
https://doaj.org/article/a7efa7c2cf4445559231aac667a9fc5f
Autor:
Arnav Choudhry, Sean Qian
Publikováno v:
Journal of Intelligent and Connected Vehicles, Vol 6, Iss 1, Pp 16-33 (2023)
Global Navigation Satellite System (GNSS) data is an inexpensive and ubiquitous source of activity data. Global Positioning System (GPS) is an example of such data. Although there have been several studies about inferring device activity using GPS da
Externí odkaz:
https://doaj.org/article/b3822ecb08fa47cdbba3dc9ea5ed7bdf
Autor:
Lee, Daryn, Sean Qian
Publikováno v:
Journal of Transportation Engineering. Part A. Systems; Jan2024, Vol. 150 Issue 1, p1-18, 18p
Publikováno v:
In Transportation Research Part B May 2017 99:183-204
Publikováno v:
World Environmental and Water Resources Congress 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cac9d83a24ead4476490985b285ef37c
https://doi.org/10.1061/9780784484852.037
https://doi.org/10.1061/9780784484852.037
Publikováno v:
Information Systems Research.
This article investigates how and why the traditional on-demand service (i.e., taxies) and ridesharing platforms (e.g., Uber) perform in contexts of urban uncertainty. We consider different types of unexpected urban anomalies and collect large-scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b63a7946650c61f2990db095dce18e
https://doi.org/10.1287/isre.2023.1212
https://doi.org/10.1287/isre.2023.1212
Publikováno v:
Sensors, Vol 21, Iss 2, p 464 (2021)
Recent decades have witnessed the breakthrough of autonomous vehicles (AVs), and the sensing capabilities of AVs have been dramatically improved. Various sensors installed on AVs will be collecting massive data and perceiving the surrounding traffic
Externí odkaz:
https://doaj.org/article/0299bde8717f4b2cac4c0c9700828056
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:1009-1018
Traffic forecasting is a challenging problem in the transportation research field as the complexity and non-stationary changing of the traffic data, thus the key to the issue is how to explore proper spatial and temporal characteristics. Based on thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9130981b8074afa02ac1d9fa9b109eb5
https://doi.org/10.1109/tits.2020.3019497
https://doi.org/10.1109/tits.2020.3019497
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 14:163-172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7fa18baeadafd6cd8deca8a7913f55d
https://doi.org/10.1109/mits.2019.2962145
https://doi.org/10.1109/mits.2019.2962145