Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Cristiano Pendao"'
Publikováno v:
Sensors, Vol 24, Iss 18, p 5880 (2024)
Recent advancements in vehicle technology have stimulated innovation across the automotive sector, from Advanced Driver Assistance Systems (ADAS) to autonomous driving and motorsport applications. Modern vehicles, equipped with sensors for perception
Externí odkaz:
https://doaj.org/article/ef75d6044934414a946ee66a743838bb
Publikováno v:
Data, Vol 8, Iss 10, p 157 (2023)
This paper describes a dataset collected in an industrial setting using a mobile unit resembling an industrial vehicle equipped with several sensors. Wi-Fi interfaces collect signals from available Access Points (APs), while motion sensors collect da
Externí odkaz:
https://doaj.org/article/67b988788c29495bbbf12042a4924233
Autor:
Francesco Potorti, Sangjoon Park, Antonino Crivello, Filippo Palumbo, Michele Girolami, Paolo Barsocchi, Soyeon Lee, Joaquin Torres-Sospedra, Antonio Ramon Jimenez Ruiz, Antoni Perez-Navarro, German Martin Mendoza-Silva, Fernando Seco, Miguel Ortiz, Johan Perul, Valerie Renaudin, Hyunwoong Kang, Soyoung Park, Jae Hong Lee, Chan Gook Park, Jisu Ha, Jaeseung Han, Changjun Park, Keunhye Kim, Yonghyun Lee, Seunghun Gye, Keumryeol Lee, Eunjee Kim, Jeong-Sik Choi, Yang-Seok Choi, Shilpa Talwar, Seong Yun Cho, Boaz Ben-Moshe, Alex Scherbakov, Leonid Antsfeld, Emilio Sansano-Sansano, Boris Chidlovskii, Nikolai Kronenwett, Silvia Prophet, Yael Landay, Revital Marbel, Lingxiang Zheng, Ao Peng, Zhichao Lin, Bang Wu, Chengqi Ma, Stefan Poslad, David R. Selviah, Wei Wu, Zixiang Ma, Wenchao Zhang, Dongyan Wei, Hong Yuan, Jun-Bang Jiang, Shao-Yung Huang, Jing-Wen Liu, Kuan-Wu Su, Jenq-Shiou Leu, Kazuki Nishiguchi, Walid Bousselham, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-Ichiro Taniguchi, Vicente Cortes Puschel, Tomas Lungenstrass Poulsen, Imran Ashraf, Chanseok Lee, Muhammad Usman Ali, Yeongjun Im, Gunzung Kim, Jeongsook Eom, Soojung Hur, Yongwan Park, Miroslav Opiela, Adriano Moreira, Maria Joao Nicolau, Cristiano Pendao, Ivo Silva, Filipe Meneses, Antonio Costa, Jens Trogh, David Plets, Ying-Ren Chien, Tzu-Yu Chang, Shih-Hau Fang, Yu Tsao
Publikováno v:
IEEE Access, Vol 8, Pp 206674-206718 (2020)
IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Track
Externí odkaz:
https://doaj.org/article/ddebc0d9f3ed4c6588ee35f1b72991b9
Publikováno v:
IEEE Sensors Journal. 22:5386-5397
The deployment of an Indoor Position System (IPS) in the real-world raised many challenges, such as installation of infrastructure, the calibration process or modelling of the building’s floor plan. For Wi-Fi-based IPSs, deployments often require a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c4bb5ee36e567cb6a30499d52f5d28
https://doi.org/10.1109/jsen.2021.3103662
https://doi.org/10.1109/jsen.2021.3103662
Autor:
Cristiano Pendao, Adriano Moreira
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
FastGraph is a novel positioning approach recently proposed to address the challenges of positioning in large spaces. Wi-Fi-based indoor positioning solutions often require complex and time-consuming deployments. Fingerprinting, as one of most used a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::982e93bf59807b9d4cce50150c48d59a
Autor:
Fernando J. Aranda, Fernando Alvarez, Joaquín Torres-Sospedra, Ivo Silva, Cristiano Pendao, Darwin Quezada-Gaibor, Adriano Moreira
Publikováno v:
VTC Spring
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
Repositori Universitat Jaume I
Universitat Jaume I
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
Repositori Universitat Jaume I
Universitat Jaume I
Fingerprint-based indoor positioning is widely used in many contexts, including pedestrian and autonomous vehicles navigation. Many approaches have used traditional Machine Learning models to deal with fingerprinting, being k-NN the most common used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e46d1fe269149dd5e6ff3da2d07ac3c5
https://hdl.handle.net/1822/82113
https://hdl.handle.net/1822/82113
Publikováno v:
Repositori Universitat Jaume I
Universitat Jaume I
Universitat Jaume I
Localization and tracking of industrial vehicles have a key role in increasing productivity and improving the logistics processes of factories. Due to the demanding requirements of industrial vehicle tracking and navigation, existing systems explore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::143285dae85b0b0fb20c7d397008efd5
https://doi.org/10.1109/TSMC.2021.3091987
https://doi.org/10.1109/TSMC.2021.3091987
Autor:
Adriano Moreira, Cristiano Pendao
Publikováno v:
IPIN
The interference in Wi-Fi networks severely degrades the quality of service. In contrast to cellular networks that operate in regulated radio frequencies, and where the use of the radio spectrum is controlled and planned, the deployment of Wireless L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dafa4c6aa7c3776658fc5f817fce5b44
https://doi.org/10.1109/ipin.2019.8911745
https://doi.org/10.1109/ipin.2019.8911745
Autor:
Adriano Moreira, Cristiano Pendao
Publikováno v:
IPIN
It is well-known that fingerprinting-based positioning requires an exhaustive calibration phase to create a radio map, which often requires recalibration. Model-based and geometric approaches try to mitigate this effort at the expense of a lower accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4258403454686cd5585e313477b5313
https://doi.org/10.1109/ipin.2018.8533746
https://doi.org/10.1109/ipin.2018.8533746
Autor:
Adriano Moreira, Maria João Nicolau, Joaquín Torres-Sospedra, Cristiano Pendao, Filipe Meneses, Ivo Silva
Publikováno v:
IPIN
The accuracy of fingerprinting-based positioning methods accuracy is limited by the fluctuations in the radio signal intensity mainly due to reflections, refractions, and multipath interference, among other factors. We consider that the fluctuations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18d1d5f8c85b4940f9ee1239c4119151
https://hdl.handle.net/1822/47749
https://hdl.handle.net/1822/47749