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Controlled Lighting and Illumination-Independent Target Detection for Real-Time Cost-Efficient Applications. The Case Study of Sweet Pepper Robotic Harvesting
Current harvesting robots are limited by low detection rates due to the unstructured and dynamic nature of both the objects and the environment. State-of-the-art algorithms include color- and texture-based detection, which are highly sensitive to the illumination conditions. Deep learning algorithms...
में बचाया:
| में प्रकाशित: | Sensors (Basel) |
|---|---|
| मुख्य लेखकों: | , , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
MDPI
2019
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6470490/ https://ncbi.nlm.nih.gov/pubmed/30901837 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19061390 |
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