SYSTEM AND METHOD OF SEMANTIC SEGMENTATION FOR A CLEANING DEVICE

A system and method of semantic segmentation for an autonomous or semi-autonomous cleaning device. By using machine learning and visual data, one can teach an algorithm (e.g., a deep neural network) to distinguish between ground and non-ground spaces. The non-ground spaces are passed to the cleaning...

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Bibliographische Detailangaben
Hauptverfasser:	FAKIH, ADEL, GABA, ABHISHANK, CHOI, YOOHEE, RASHEED, UMER, BREDIKHIN, EGOR, JAHANI, ALI
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	CALCULATING COFFEE MILLS COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DOMESTIC ARTICLES OR APPLIANCES DOMESTIC WASHING OR CLEANING FURNITURE HUMAN NECESSITIES PHYSICS SPICE MILLS SUCTION CLEANERS IN GENERAL
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Beschreibung
Zusammenfassung:	A system and method of semantic segmentation for an autonomous or semi-autonomous cleaning device. By using machine learning and visual data, one can teach an algorithm (e.g., a deep neural network) to distinguish between ground and non-ground spaces. The non-ground spaces are passed to the cleaning device path planning to avoid these areas. The algorithm may be programmed to detect low obstacles (e.g., cardboard boxes, low pallets, forklift tines) and other low-height obstacles. Semantic segmentation obstacle avoidance adds another layer of safety to perception safety protocols of a cleaning device.