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DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_S_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_20211012_S_CAM [dataset] Contributors: Creator: Breckon, Toby P. (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: 9 February 2022 -
DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_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_20211012_OTHERS [dataset] Contributors: Creator: Breckon, Toby P. (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: 9 February 2022 -
DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_M_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_20211012_M_OTHERS [dataset] Contributors: Creator: Breckon, Toby P. (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: 9 February 2022 -
DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_M_LIDAR [dataset] [Download]
Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_M_LIDAR [dataset] Contributors: Creator: Breckon, Toby P. (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: 8 February 2022 -
DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_M_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_20211012_M_CAM [dataset] Contributors: Creator: Breckon, Toby P. (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: 8 February 2022 -
DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_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_20211012_LIDAR_00 [dataset] Contributors: Creator: Breckon, Toby P. (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: 8 February 2022 -
DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_LIDAR_02 [dataset] [Download]
Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_LIDAR_02 [dataset] Contributors: Creator: Breckon, Toby P. (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: 8 February 2022 -
DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_LIDAR_01 [dataset] [Download]
Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_LIDAR_01 [dataset] Contributors: Creator: Breckon, Toby P. (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: 8 February 2022 -
DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20211012_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_20211012_CAM [dataset] Contributors: Creator: Breckon, Toby P. (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: 8 February 2022 -
MD5 file checksums for DurLAR research data collecton 2021-09-01 [Download]