Distance to obstacle detection in autonomous machine applications
Y Yilin, BSS Jujjavarapu, P Janis, Z Ye, S Oh… - US Patent …, 2024 - Google Patents
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 …
deployment, distances to objects and obstacles using image data alone. The DNN may be …
Distance estimation to objects and free-space boundaries in autonomous machine applications
J Kwon, Y Yilin, BSS Jujjavarapu, Z Ye, S Oh… - US Patent …, 2024 - 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 …
accurately predict distances to objects, obstacles, and/or a detected free-space boundary …
Distance to obstacle detection in autonomous machine applications
Y Yilin, BSS Jujjavarapu, P Janis, Z Ye, S Oh… - US Patent …, 2023 - Google Patents
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 …
deployment, distances to objects and obstacles using image data alone. The DNN may be …