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  1. Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Evaluation [dataset] [Download]

    Title: Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Evaluation [dataset]
    Contributors: Creator: Maciel-Pearson, Bruna G. (Durham University)
    Creator: Breckon, Toby P. (Durham University)
    Description:
    Keywords: Deep learning, Trail detection, Autonomous Unmanned Aerial Vehicle, Unstructured environment, Drone, Convolutional Neural Network, UAV
    Date Uploaded: 4 May 2018
  2. Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow - Evaluation Dataset [Download]

    Title: Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow - Evaluation Dataset
    Contributors: Creator: Hamilton, O.K. (Durham University, UK)
    Creator: Breckon, Toby P. (Durham University, UK)
    Contact person: Breckon, Toby P. (Durham University, UK)
    Description:
    Keywords: computer vision, image processing, 3D, object removal, scene mapping, automotive vision, stereo vision
    Date Uploaded: 11 May 2016
  3. Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation - Evaluation Dataset [Download]

    Title: Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation - Evaluation Dataset
    Contributors: Creator: Breckon, Toby P. (Durham University, UK)
    Contact person: Breckon, Toby P. (Durham University, UK)
    Creator: Webster, Dereck D. (Cranfield University, UK)
    Description:
    Keywords: aindrop detection, rain detection, rain removal, rain noise removal, rain interference, scene context, raindrop saliency, rain classification, image processing, computer vision
    Date Uploaded: 21 January 2016
  4. DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210901_LIDAR_00 [dataset] [Download]

    Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210901_LIDAR_00 [dataset]
    Contributors: Creator: Breckon (Durham University, UK)
    Editor: Li, Li (Durham University, UK)
    Creator: Li, Li (Durham University, UK)
    Creator: Ismail, Khalid (Durham University, UK)
    Creator: Shum, Hubert (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 7 February 2022
  5. DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210901_CAM [dataset] [Download]

    Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210901_CAM [dataset]
    Contributors: Creator: Breckon (Durham University, UK)
    Creator: Li, Li (Durham University, UK)
    Editor: Li, Li (Durham University, UK)
    Creator: Ismail, Khalid (Durham University, UK)
    Creator: Shum, Hubert (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 7 February 2022
  6. MD5 file checksums for DurLAR research data collecton 2021-07-16 [Download]

    Title: MD5 file checksums for DurLAR research data collecton 2021-07-16
    Contributors: Creator: Breckon (Durham University, UK)
    Creator: Li, Li (Durham University, UK)
    Editor: Li, Li (Durham University, UK)
    Creator: Ismail, Khalid (Durham University, UK)
    Creator: Shum, Hubert (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 4 February 2022
  7. Fire Superpixel Image Data Set for Samarth 2019 study - PNG still image set [Download]

    Title: Fire Superpixel Image Data Set for Samarth 2019 study - PNG still image set
    Contributors: Creator: Samarth, Ganesh (Institute of Technology Dharwad, India)
    Contact person: Breckon, Toby (Durham University, UK)
    Editor: Bhowmik, Neelanjan (Durham University, UK)
    Description:
    Keywords: Convolutional Neural Network, fire detection
    Date Uploaded: 13 December 2019
  8. Pretrained Neural Network Models for Samarth 2019 study - TensorFlow format [Download]

    Title: Pretrained Neural Network Models for Samarth 2019 study - TensorFlow format
    Contributors: Contact person: Breckon, Toby (Durham University, UK)
    Creator: Samarth, Ganesh (Institute of Technology Dharwad, India)
    Editor: Bhowmik, Neelanjan (Durham University, UK)
    Description:
    Keywords: Convolutional Neural Network, fire detection
    Date Uploaded: 11 December 2019
  9. Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection - supporting materials

    Title: Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection - supporting materials
    Contributors: Contact person: Breckon, Toby (Durham University, UK)
    Creator: Samarth, Ganesh (Indian Institute of Technology Dharwad, India)
    Editor: Bhowmik, Neelanjan (Durham University, UK)
    Description:
    Keywords: deep learning, video analysis, machine learning, convolutional neural network, computer vision, fire detection
    Date Uploaded:
  10. DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211209_S_OTHERS [dataset] [Download]

    Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211209_S_OTHERS [dataset]
    Contributors: Creator: Breckon, Toby P. (Durham University, UK)
    Creator: Li, Li (Durham University, UK)
    Editor: Ismail, Khalid (Durham University, UK)
    Creator: Ismail, Khalid (Durham University, UK)
    Editor: Shum, Hubert (Durham University, UK)
    Creator: Shum, Hubert (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 11 February 2022