Alessandro Navone

Orcid: 0009-0001-3768-3832

According to our database1, Alessandro Navone authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
VinePT-Map: Pole-Trunk Semantic Mapping for Resilient Autonomous Robotics in Vineyards.
CoRR, March, 2026

2025
TEMPO-VINE: A Multi-Temporal Sensor Fusion Dataset for Localization and Mapping in Vineyards.
CoRR, December, 2025

Autonomous Robotic Pruning in Orchards and Vineyards: a Review.
CoRR, May, 2025

Adaptive Robot Localization with Ultra-wideband Novelty Detection.
CoRR, May, 2025

GPS-free autonomous navigation in cluttered tree rows with deep semantic segmentation.
Robotics Auton. Syst., 2025

2024
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops.
IEEE Access, 2024

Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Non-linear Model Predictive Control for Multi-task GPS-free Autonomous Navigation in Vineyards.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

Semi-Supervised Novelty Detection for Precise Ultra-Wideband Error Signal Prediction.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Domain Generalization for Crop Segmentation with Knowledge Distillation.
CoRR, 2023

Lavender Autonomous Navigation with Semantic Segmentation at the Edge.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation.
Proceedings of the European Conference on Mobile Robots, 2023

Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023


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