five

Thermal, Lidar and Radar data for Sensor Fusion in Adverse Visibility Conditions (04-117)

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Mendeley Data2024-01-31 更新2024-06-29 收录
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https://dataverse.vtti.vt.edu/citation?persistentId=doi:10.15787/VTT1/B3VKEA
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Project Description: The goal of this project was to explore the use of thermal cameras to improve vehicle detection in adverse weather conditions for autonomous driving. Data Scope: Multiple ROS (Robot Operating System) bag files that contain video data from five FLIR thermal cameras, Ouster OS1-128 Lidar, a Blackfly RGB camera and a Delphi ESR forward facing radar, along with vehicle CAN bus data. The dataset contains scenes of driving directly into sunlight and night-time driving in and around College Station, Texas. Data Specification: Please see attached document (‘Data Specification.docx’)
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2024-01-31
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