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FieldSAFE: Dataset for Obstacle Detection in Agriculture
2017
Sensors
In this paper, we present a novel multi-modal dataset for obstacle detection in agriculture. The dataset comprises approximately 2 hours of raw sensor data from a tractor-mounted sensor system in a grass mowing scenario in Denmark, October 2016. Sensing modalities include stereo camera, thermal camera, web camera, 360-degree camera, lidar, and radar, while precise localization is available from fused IMU and GNSS. Both static and moving obstacles are present including humans, mannequin dolls,
doi:10.3390/s17112579
pmid:29120383
pmcid:PMC5713196
fatcat:fnjzk6f23rdi7lgzxgsspfpodq