公开(公告)号：US20240420449A1

公开(公告)日：2024-12-19

申请号：US18334285

申请日：2023-06-13

Applicant: NVIDIA CORPORATION

Inventor： Mehmet Kemal KOCAMAZ ,  Parthiv PARIKH ,  Baris Evrim DEMIROZ ,  Sangmin OH

IPC: G06V10/74 ,  G06V10/86

Abstract: In various examples, a technique for low-latency fusion and tracking of objects from multiple cameras is disclosed that includes determining a plurality of input objects and corresponding object characteristics, individual input objects and respective object characteristics being determined based at least on an image generated using a respective camera. The technique also includes identifying at least one subset of the plurality of input objects, the at least one subset corresponding to a respective physical object and comprising at least one input object that satisfies a similarity criterion. The technique further includes generating an output object associated with one or more smoothed object characteristics, the output object being generated based at least on two or more input objects included in the at least one subset of the plurality of input objects. The at least one subset corresponds to a physical object that is visible to two or more cameras.

公开(公告)号：US20240410726A1

公开(公告)日：2024-12-12

申请号：US18331857

申请日：2023-06-08

Applicant: NVIDIA CORPORATION

Inventor： Parthiv PARIKH ,  Yongqing LIANG ,  Mehmet Kemal KOCAMAZ ,  Alessandro FERRARI ,  Daniel Per Olof SVENSSON

IPC: G01D21/02

Abstract: In various examples, disclosed techniques introduce a time-window based sensor measurement scheduling engine that determines an ordering of measurements received from multiple sensors. The measurements may be sorted by detection time and submitted in sorted order to a sensor fusion system. Upon receiving measurements from sensors, the scheduling engine determines a current time window between a most recently-submitted measurement and a most recent camera measurement. Any measurements from other sensors, such as RADAR, that are less than a threshold amount of time ahead of or behind the current time window can be extrapolated to a time in the current time window for comparison with camera measurements. The scheduling engine then sorts the selected measurements based on their timestamps in the current time window, and submits the selected measurements to the fusion system in sorted order. The system may then perform downstream operations, such as object tracking, using the sorted measurements.