Distance estimation to objects and free-space boundaries in autonomous machine applications

J Kwon, Y Yilin, BSS Jujjavarapu, Z Ye, S Oh… - US Patent …, 2021 - Google Patents
In various examples, a deep neural network (DNN) is trained—using image data alone—to
accurately predict distances to objects, obstacles, and/or a detected free-space boundary …

Distance estimation to objects and free-space boundaries in autonomous machine applications

J Kwon, Y Yang, BSS Jujjavarapu, Z Ye… - US Patent …, 2021 - freepatentsonline.com
In various examples, a deep neural network (DNN) is trained—using image data alone—to
accurately predict distances to objects, obstacles, and/or a detected free-space boundary …

Distance estimation to objects and free-space boundaries in autonomous machine applications

J Kwon, Y Yilin, BSS JUJJAVARAPU, Z Ye… - US Patent App. 16 …, 2020 - Google Patents
In various examples, a deep neural network (DNN) is trained—using image data alone—to
accurately predict distances to objects, obstacles, and/or a detected free-space boundary …

DISTANCE ESTIMATION TO OBJECTS AND FREE-SPACE BOUNDARIES IN AUTONOMOUS MACHINE APPLICATIONS

J Kwon, Y Yang, BSS Jujjavarapu… - US Patent App. 16 …, 2020 - freepatentsonline.com
In various examples, a deep neural network (DNN) is trained—using image data alone—to
accurately predict distances to objects, obstacles, and/or a detected free-space boundary …