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...

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Detalles Bibliográficos
Autores principales: Arad, Boaz, Kurtser, Polina, Barnea, Ehud, Harel, Ben, Edan, Yael, Ben-Shahar, Ohad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470490/
https://www.ncbi.nlm.nih.gov/pubmed/30901837
http://dx.doi.org/10.3390/s19061390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470490/
https://www.ncbi.nlm.nih.gov/pubmed/30901837
http://dx.doi.org/10.3390/s19061390

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