DISTANCE TO OBSTACLE DETECTION IN AUTONOMOUS MACHINE APPLICATIONS

In various examples, a deep neural network (DNN) is trained to accurately predict, in deployment, distances to objects and obstacles using image data alone. The DNN may be trained with ground truth data that is generated and encoded using sensor data from any number of depth predicting sensors, such...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	JANIS PEKKA, JUJJAVARAPU BALA SIVA SASHANK, NISTER DAVID, MARIS PARK, HERRERA CASTRO DANIEL, OH SANGMIN, YE ZHAOTING, YANG YILIN, KOIVISTO TOMMI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING PHYSICS
Online-Zugang:	Volltext bestellen
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