公开(公告)号：US20250117876A1

公开(公告)日：2025-04-10

申请号：US18481909

申请日：2023-10-05

Applicant: QUALCOMM Incorporated

Inventor： Shivansh RAO ,  Arunkumar NEHRUR RAVI ,  Gokce DANE ,  Ai-Mei HUANG ,  Vasudev BHASKARAN ,  Anil Kumar GOKAVARAPU

IPC: G06T1/60 ,  G06T15/00 ,  G06T17/10

Abstract: Aspects of the disclosure are directed to reordering a plurality of input block voxel indices in a cache memory. In accordance with one aspect, an apparatus including a create block configured to receive the plurality of input block voxel indices and configured to generate a reordered list based on the plurality of input block voxel indices; and an integrate block coupled to the create block, the integrate block configured to use the reordered list to deliver integrate depth data for generating a plurality of output block voxel indices. In accordance with one aspect, a method including reordering the plurality of input block voxel indices into a plurality of output block voxel indices using a separated set of input block voxel indices; and accessing the plurality of output block voxel indices to provide an augmented cache memory access.

公开(公告)号：US20250094535A1

公开(公告)日：2025-03-20

申请号：US18469424

申请日：2023-09-18

Applicant: QUALCOMM Incorporated

Inventor： Shivansh RAO ,  Sweta PRIYADARSHI ,  Varun RAVI KUMAR ,  Senthil Kumar YOGAMANI ,  Arunkumar NEHRUR RAVI ,  Vasudev BHASKARAN

IPC: G06F18/213 ,  H04W4/38 ,  H04W4/46

Abstract: According to aspects described herein, a device can extract first features from frames of first sensor data and second features from frames of second sensor data (captured after the first sensor data). The device can obtain first weighted features based on the first features and second weighted features based on the second features. The device can aggregate the first weighted features to determine a first feature vector and the second weighted features to determine a second feature vector. The device can obtain a first transformed feature vector (based on transforming the first feature vector into a coordinate space) and a second transformed feature vector (based on transforming the second feature vector into the coordinate space). The device can aggregate first transformed weighted features (based on the first transformed feature vector) and second transformed weighted features (based on the second transformed feature vector) to determine a fused feature vector.