TEMPO-VINE: A Multi-Temporal Sensor Fusion Dataset for Localization and Mapping in Vineyards
Published:Dec 4, 2025 13:20
•1 min read
•ArXiv
Analysis
This article introduces a new dataset, TEMPO-VINE, designed for research in localization and mapping within vineyards. The focus on multi-temporal sensor fusion suggests the dataset incorporates data collected over time, potentially enabling more robust and accurate solutions compared to single-snapshot approaches. The use case of vineyards is interesting and likely presents unique challenges for robotics and computer vision due to the structured but dynamic environment.
Key Takeaways
- •Introduces TEMPO-VINE, a new dataset for localization and mapping.
- •Focuses on multi-temporal sensor fusion.
- •Targets the specific environment of vineyards.
- •Potentially enables more robust and accurate solutions.
Reference
“”