Výsledky vyhledávání - "Mullins, Darragh"

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E-Scooter Rider Detection and Classification in Dense Urban Environments

Autor: Gilroy, Shane, Mullins, Darragh, Jones, Edward, Parsi, Ashkan, Glavin, Martin

Accurate detection and classification of vulnerable road users is a safety critical requirement for the deployment of autonomous vehicles in heterogeneous traffic. Although similar in physical appearance to pedestrians, e-scooter riders follow distin

Externí odkaz: http://arxiv.org/abs/2205.10184

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An Objective Method for Pedestrian Occlusion Level Classification

Autor: Gilroy, Shane, Glavin, Martin, Jones, Edward, Mullins, Darragh

Pedestrian detection is among the most safety-critical features of driver assistance systems for autonomous vehicles. One of the most complex detection challenges is that of partial occlusion, where a target object is only partially available to the

Externí odkaz: http://arxiv.org/abs/2205.05412

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The Impact of Partial Occlusion on Pedestrian Detectability

Autor: Gilroy, Shane, Mullins, Darragh, Jones, Edward, Parsi, Ashkan, Glavin, Martin

Publikováno v: Biomimetic Intelligence and Robotics. 2023 Jul 18:100115

Robust detection of vulnerable road users is a safety critical requirement for the deployment of autonomous vehicles in heterogeneous traffic. One of the most complex outstanding challenges is that of partial occlusion where a target object is only p

Externí odkaz: http://arxiv.org/abs/2205.04812

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Akademický článek

Optimizing Camera Exposure Time for Automotive Applications.

Autor: Lin, Hao^1,2 (AUTHOR) h.lin2@universityofgalway.ie, Mullins, Darragh^1,2 (AUTHOR), Molloy, Dara^1,2,3 (AUTHOR), Ward, Enda³ (AUTHOR), Collins, Fiachra³ (AUTHOR), Denny, Patrick^1,4 (AUTHOR), Glavin, Martin^1,2 (AUTHOR), Deegan, Brian^1,2 (AUTHOR), Jones, Edward^1,2 (AUTHOR) h.lin2@universityofgalway.ie

Publikováno v: Sensors (14248220). Aug2024, Vol. 24 Issue 16, p5135. 29p.