Search Results - "Eising, Ciarán"

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  1. 1

    2.5D vehicle odometry estimation by Eising, Ciarán, Pereira, Leroy‐Francisco, Horgan, Jonathan, Selvaraju, Anbuchezhiyan, McDonald, John, Moran, Paul

    Published in IET intelligent transport systems (01-03-2022)
    “…It is well understood that in ADAS applications, a good estimate of the pose of the vehicle is required. This paper proposes a metaphorically named 2.5D…”
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    Journal Article
  2. 2

    Pretraining instance segmentation models with bounding box annotations by Agnew, Cathaoir, Grua, Eoin M., Van de Ven, Pepijn, Denny, Patrick, Eising, Ciarán, Scanlan, Anthony

    Published in Intelligent systems with applications (01-12-2024)
    “…Annotating datasets for fully supervised instance segmentation tasks can be arduous and time-consuming, requiring a significant effort and cost investment…”
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    Journal Article
  3. 3

    Detecting the overfilled status of domestic and commercial bins using computer vision by Agnew, Cathaoir, Mewada, Dishant, Grua, Eoin M., Eising, Ciarán, Denny, Patrick, Heffernan, Mark, Tierney, Ken, Van de Ven, Pepijn, Scanlan, Anthony

    Published in Intelligent systems with applications (01-05-2023)
    “…As the amount of waste being produced globally is increasing, there is a need for more efficient waste management solutions to accommodate this expansion. The…”
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    Journal Article
  4. 4

    Surround-View Fisheye Camera Perception for Automated Driving: Overview, Survey & Challenges by Kumar, Varun Ravi, Eising, Ciaran, Witt, Christian, Yogamani, Senthil

    “…Surround-view fisheye cameras are commonly used for near-field sensing in automated driving. Four fisheye cameras on four sides of the vehicle are sufficient…”
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    Journal Article
  5. 5

    Wireless Access for V2X Communications: Research, Challenges and Opportunities by Clancy, Joseph, Mullins, Darragh, Deegan, Brian, Horgan, Jonathan, Ward, Enda, Eising, Ciaran, Denny, Patrick, Jones, Edward, Glavin, Martin

    “…Autonomous vehicles and Intelligent Transport Systems (ITS) have started to become a reality in recent years. However, shortcomings of these early intelligent…”
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    Journal Article
  6. 6

    Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges by Jakab, Daniel, Deegan, Brian Michael, Sharma, Sushil, Grua, Eoin Martino, Horgan, Jonathan, Ward, Enda, van de Ven, Pepijn, Scanlan, Anthony, Eising, Ciaran

    “…In this paper, we provide a survey on automotive surround-view fisheye optics, with an emphasis on the impact of optical artifacts on computer vision tasks in…”
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    Journal Article
  7. 7

    Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation by Khatun, Mirza Akhi, Memon, Sanober Farheen, Eising, Ciaran, Dhirani, Lubna Luxmi

    Published in IEEE access (2023)
    “…The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-driven infrastructure that highly relies on smart sensing devices…”
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    Journal Article
  8. 8

    Dynamic Filter Application in Graph Convolutional Networks for Enhanced Spectral Feature Analysis and Class Discrimination in Medical Imaging by Singh, Aryan, De Ven, Pepijn Van, Eising, Ciaran, Denny, Patrick

    Published in IEEE access (01-01-2024)
    “…Graph Neural Networks (GNNs) offer a promising direction for medical image analysis, particularly due to their ability to capture complex relationships and…”
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    Journal Article
  9. 9

    BEVSeg2GTA: Joint Vehicle Segmentation and Graph Neural Networks for Ego Vehicle Trajectory Prediction in Bird's-Eye-View by Sharma, Sushil, Das, Arindam, Sistu, Ganesh, Halton, Mark, Eising, Ciaran

    Published in IEEE access (2024)
    “…Predicting the trajectory of the ego vehicle is a critical task for autonomous vehicles. Even though traffic regulations have defined boundaries, various…”
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    Journal Article
  10. 10

    Subjective Scoring Framework for VQA Models in Autonomous Driving by Rekanar, Kaavya, Ahmed, Abbirah, Mohandas, Reenu, Sistu, Ganesh, Eising, Ciaran, Hayes, Martin

    Published in IEEE access (2024)
    “…The development of vision and language transformer models has paved the way for Visual Question Answering (VQA) models and related research. There are metrics…”
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    Journal Article
  11. 11

    PatchLoc: Embedded Patch Localisation Pretext Task for Tumor Segmentation in Medical Images by Cheke, Ramchandra, Eising, Ciaran, Denny, Patrick, Ven, Pepijn van de

    Published in IEEE access (01-01-2024)
    “…Supervised deep learning methods have produced state-of-the-art results with large labeled datasets. However, accessing large labeled datasets is difficult in…”
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    Journal Article
  12. 12

    Quantifying the Effects of Ground Truth Annotation Quality on Object Detection and Instance Segmentation Performance by Agnew, Cathaoir, Eising, Ciaran, Denny, Patrick, Scanlan, Anthony, Van De Ven, Pepijn, Grua, Eoin M.

    Published in IEEE access (2023)
    “…Fully-supervised object detection and instance segmentation models have accomplished notable results on large-scale computer vision benchmark datasets…”
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    Journal Article
  13. 13

    Annotation Quality Versus Quantity for Object Detection and Instance Segmentation by Agnew, Cathaoir, Scanlan, Anthony, Denny, Patrick, Grua, Eoin M., van de Ven, Pepijn, Eising, Ciaran

    Published in IEEE access (2024)
    “…Deep learning-based computer vision models are typically data-hungry, resulting in the rise of dataset sizes. The consensus for computer vision datasets is…”
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    Journal Article
  14. 14

    Feasibility Study of V2X Communications in Initial 5G NR Deployments by Clancy, Joseph, Mullins, Darragh, Deegan, Brian, Horgan, Jonathan, Ward, Enda, Denny, Patrick, Eising, Ciaran, Jones, Edward, Glavin, Martin

    Published in IEEE access (01-01-2023)
    “…Advancements in intelligent vehicles and Intelligent Transport Systems (ITS) have shown that they are now feasible in both technology and commerce. However,…”
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    Journal Article
  15. 15

    UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal by Dasgupta, Subhrajyoti, Das, Arindam, Das, Sudip, Eising, Ciaran, Bursuc, Andrei, Bhattacharya, Ujjwal, Yogamani, Senthil

    Published in IEEE access (01-01-2023)
    “…Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings,…”
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    Journal Article
  16. 16

    Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision by Mewada, Dishant, Agnew, Cathaoir, Grua, Eoin M., Eising, Ciaran, Denny, Patrick, Heffernan, Mark, Tierney, Ken, van de Ven, Pepijn, Scanlan, Anthony

    Published in IEEE access (2024)
    “…As the global production of waste continues to rise, there is a growing demand for more effective waste management strategies to handle this expanding problem…”
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    Journal Article
  17. 17

    ARDÁN: Automated Reference-Free Defocus Characterization for Automotive Near-Field Cameras by Jakab, Daniel, Martino Grua, Eoin, Mohandas, Reenu, Michael Deegan, Brian, Scanlan, Anthony, Molloy, Dara, Ward, Enda, Eising, Ciaran

    Published in IEEE access (2024)
    “…Measuring optical quality in camera lenses is crucial in evaluating cameras, especially for safety-critical visual perception tasks in automotive driving…”
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    Journal Article
  18. 18

    A Review of the Impact of Rain on Camera-Based Perception in Automated Driving Systems by Brophy, Tim, Mullins, Darragh, Parsi, Ashkan, Horgan, Jonathan, Ward, Enda, Denny, Patrick, Eising, Ciaran, Deegan, Brian, Glavin, Martin, Jones, Edward

    Published in IEEE access (01-01-2023)
    “…Automated vehicles rely heavily on image data from visible spectrum cameras to perform a wide range of tasks from object detection, classification, and…”
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    Journal Article
  19. 19

    Near Field iToF LIDAR Depth Improvement from Limited Number of Shots by Nagiub, Mena, Beuth, Thorsten, Sistu, Ganesh, Gotzig, Heinrich, Eising, Ciaran

    “…Indirect Time of Flight LiDARs can indirectly calculate the scene's depth from the phase shift angle between transmitted and received laser signals with…”
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    Conference Proceeding
  20. 20

    Pedestrian Crossing Intention Forecasting at Unsignalized Intersections Using Naturalistic Trajectories by Moreno, Esteban, Denny, Patrick, Ward, Enda, Horgan, Jonathan, Eising, Ciaran, Jones, Edward, Glavin, Martin, Parsi, Ashkan, Mullins, Darragh, Deegan, Brian

    Published in Sensors (Basel, Switzerland) (03-03-2023)
    “…Interacting with other roads users is a challenge for an autonomous vehicle, particularly in urban areas. Existing vehicle systems behave in a reactive manner,…”
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    Journal Article