Sparse auxiliary network for depth completion

System, methods, and other embodiments described herein relate to determining depths of a scene from a monocular image. In one embodiment, a method includes generating depth features from depth data using a sparse auxiliary network (SAN) by i) sparsifying the depth data, ii) applying sparse residual...

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Bibliographische Detailangaben
Hauptverfasser:	Guizilini, Vitor, Ambrus, Rares A, Gaidon, Adrien David
Format:	Patent
Sprache:	eng
Schlagworte:	ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES GYROSCOPIC INSTRUMENTS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING MEASURING ANGLES MEASURING AREAS MEASURING DISTANCES, LEVELS OR BEARINGS MEASURING IRREGULARITIES OF SURFACES OR CONTOURS MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS NAVIGATION PERFORMING OPERATIONS PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT SURVEYING TESTING TRANSPORTING VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	System, methods, and other embodiments described herein relate to determining depths of a scene from a monocular image. In one embodiment, a method includes generating depth features from depth data using a sparse auxiliary network (SAN) by i) sparsifying the depth data, ii) applying sparse residual blocks of the SAN to the depth data, and iii) densifying the depth features. The method includes generating a depth map from the depth features and a monocular image that corresponds with the depth data according to a depth model that includes the SAN. The method includes providing the depth map as depth estimates of objects represented in the monocular image.