Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Azim Eskandarian"'
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 617-630 (2022)
Past research on pedestrian trajectory forecasting mainly focused on deterministic predictions which provide only point estimates of future states. These future estimates can help an autonomous vehicle plan its trajectory and avoid collision. However
Externí odkaz:
https://doaj.org/article/13f61a82e3b94581a7f74bd5468ccdcf
Autor:
Goodarz Mehr, Azim Eskandarian
Publikováno v:
International Journal of Transportation Science and Technology, Vol 10, Iss 4, Pp 353-365 (2021)
This paper proposes an onboard advance warning system based on a probabilistic prediction model that advises vehicles on when to change lanes for an upcoming lane drop. Using several traffic- and driver-related parameters such as the distribution of
Externí odkaz:
https://doaj.org/article/d673372feb5746ebb69ed06f09a74d70
Modified Autoencoder Training and Scoring for Robust Unsupervised Anomaly Detection in Deep Learning
Autor:
Nicholas Merrill, Azim Eskandarian
Publikováno v:
IEEE Access, Vol 8, Pp 101824-101833 (2020)
The autoencoder (AE) is a fundamental deep learning approach to anomaly detection. AEs are trained on the assumption that abnormal inputs will produce higher reconstruction errors than normal ones. In practice, however, this assumption is unreliable
Externí odkaz:
https://doaj.org/article/a91a0da929bc4c28be80614ccd591673
Publikováno v:
IEEE Access, Vol 7, Pp 93558-93568 (2019)
Cooperative adaptive cruise control (CACC) communicates the relevant preceding vehicle state data to the follower (ego) vehicle to improve the vehicle following capabilities. In general, the CACC utilizes the preceding vehicle's desired acceleration
Externí odkaz:
https://doaj.org/article/1365d991f399493280ffa21a4cb67043
Autor:
Goodarz Mehr, Prasenjit Ghorai, Ce Zhang, Anshul Nayak, Darshit Patel, Shathushan Sivashangaran, Azim Eskandarian
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 15:41-57
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc3ea83f6c212f366304f323eb9bb04e
https://doi.org/10.1109/mits.2022.3168801
https://doi.org/10.1109/mits.2022.3168801
Autor:
Azim Eskandarian
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:2692-2704
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::125f730cc1a4cc0f71c5fa86dbeb4fe7
https://doi.org/10.1109/tits.2023.3245666
https://doi.org/10.1109/tits.2023.3245666
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:16983-17002
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0046dd4ab91d1c4f181e43b97d7c4bc
https://doi.org/10.1109/tits.2022.3160932
https://doi.org/10.1109/tits.2022.3160932
Autor:
Azim Eskandarian
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:9904-9960
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88cd455eff55ff7e24533a05d0a2aca9
https://doi.org/10.1109/tits.2022.3192751
https://doi.org/10.1109/tits.2022.3192751
Autor:
Goodarz Mehr, Azim Eskandarian
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:8906-8917
This paper introduces Sentinel, an onboard system for intelligent vehicles that guides their lane changing behavior during a freeway incident with the goal of reducing traffic congestion, capacity drop, and delay. When an incident blocking the lanes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::921a7bc38c336de7ad46e3b2a12ab508
https://doi.org/10.1109/tits.2021.3087578
https://doi.org/10.1109/tits.2021.3087578
Publikováno v:
International Journal of Dynamics and Control. 11:183-193
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e838c586074c80b8ea6236ca6ce81e6
https://doi.org/10.1007/s40435-022-00965-x
https://doi.org/10.1007/s40435-022-00965-x