A trajectory-based autolabeling method that combines lidar and camera beats camera-only and lidar-only baselines on winter road segmentation, reaching 90.9 IoU.
Idd-aw: A benchmark for safe and robust segmentation of drive scenes in unstructured traffic and adverse weather,
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Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions
A trajectory-based autolabeling method that combines lidar and camera beats camera-only and lidar-only baselines on winter road segmentation, reaching 90.9 IoU.