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Vision-based Vineyard Navigation Solution with Automatic Annotation
Autonomous navigation is the key to achieving the full automation of agricultural research and production management (e. g., disease management and yield prediction) using agricultural robots.
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs
In this paper, we investigate the idea of turning sensor inputs (i. e., images) captured in an adverse condition into a benign one (i. e., sunny), upon which the downstream tasks (e. g., semantic segmentation) can attain high accuracy.
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions
Advances in perception for self-driving cars have accelerated in recent years due to the availability of large-scale datasets, typically collected at specific locations and under nice weather conditions.
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