OCCUPANCY MAP SEGMENTATION FOR AUTONOMOUS GUIDED PLATFORM WITH DEEP LEARNING

The technology disclosed includes systems and methods for preparing a segmented occupancy grid map based upon image information of an environment in which a robot moves. The image information is captured by at least one visual spectrum-capable camera and at least one depth measuring camera. The syst...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser:	XIANG, Rui, HAN, Xu, ZHANG, Zhe, LI, Zhongwei, CHEN, Peizhang
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COFFEE MILLS COMPUTING CONTROLLING COUNTING DOMESTIC ARTICLES OR APPLIANCES DOMESTIC WASHING OR CLEANING FURNITURE HUMAN NECESSITIES IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS REGULATING SPICE MILLS SUCTION CLEANERS IN GENERAL SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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Beschreibung
Zusammenfassung:	The technology disclosed includes systems and methods for preparing a segmented occupancy grid map based upon image information of an environment in which a robot moves. The image information is captured by at least one visual spectrum-capable camera and at least one depth measuring camera. The system includes logic to receive image information captured by at least one visual spectrum-capable camera and location information captured by at least one depth measuring camera located on a mobile platform. The system includes logic to extract from the image information, features in the environment. The system includes logic to determine a 3D point cloud of points having 3D information. The system includes logic to determine, from the 3D point cloud, an occupancy map of the environment. The system includes logic to segment the occupancy map into a segmented occupancy map of regions that represent rooms and corridors in the environment.