Nvidia Corporation

William Zhang

Pekka Janis

Tommi Koivisto

Timo Roman

Tero Kuosmanen

Nizar Assaf

Colin Tracey

Sriya Sarathy

In various examples, detected object data representative of locations of detected objects in a field of view may be determined. One or more clusters of the detected objects may be generated based at least in part on the locations and features of the cluster may be determined for use as inputs to a machine learning model(s). A confidence score, computed by the machine learning model(s) based at least in part on the inputs, may be received, where the confidence score may be representative of a probability that the cluster corresponds to an object depicted at least partially in the field of view. Further examples provide approaches for determining ground truth data for training object detectors, such as for determining coverage values for ground truth objects using associated shapes, and for determining soft coverage values for ground truth objects.

Object detection and detection confidence suitable for autonomous driving

Growing community of inventors

Los Altos, CA, United States of America

William Zhang