公开(公告)号：US12159417B2

公开(公告)日：2024-12-03

申请号：US17678835

申请日：2022-02-23

Applicant: NVIDIA Corporation

Inventor： David Nister ,  Soohwan Kim ,  Yue Wu ,  Minwoo Park ,  Cheng-Chieh Yang

IPC: G06T7/60 ,  G06T7/215 ,  G06V10/422

Abstract: In various examples, an ego-machine may analyze sensor data to identify and track features in the sensor data using. Geometry of the tracked features may be used to analyze motion flow to determine whether the motion flow violates one or more geometrical constraints. As such, tracked features may be identified as dynamic features when the motion flow corresponding to the tracked features violates the one or more static constraints for static features. Tracked features that are determined to be dynamic features may be clustered together according to their location and feature track. Once features have been clustered together, the system may calculate a detection bounding shape for the clustered features. The bounding shape information may then be used by the ego-machine for path planning, control decisions, obstacle avoidance, and/or other operations.

公开(公告)号：US20250029264A1

公开(公告)日：2025-01-23

申请号：US18905939

申请日：2024-10-03

Applicant: NVIDIA Corporation

Inventor： David Nister ,  Soohwan Kim ,  Yue Wu ,  Minwoo Park ,  Cheng-Chieh Yang

IPC: G06T7/215 ,  G06T7/60 ,  G06V10/422

Abstract: In various examples, an ego-machine may analyze sensor data to identify and track features in the sensor data using. Geometry of the tracked features may be used to analyze motion flow to determine whether the motion flow violates one or more geometrical constraints. As such, tracked features may be identified as dynamic features when the motion flow corresponding to the tracked features violates the one or more static constraints for static features. Tracked features that are determined to be dynamic features may be clustered together according to their location and feature track. Once features have been clustered together, the system may calculate a detection bounding shape for the clustered features. The bounding shape information may then be used by the ego-machine for path planning, control decisions, obstacle avoidance, and/or other operations.

公开(公告)号：US20220301186A1

公开(公告)日：2022-09-22

申请号：US17678835

申请日：2022-02-23

Applicant: NVIDIA Corporation

Inventor： David Nister ,  Soohwan Kim ,  Yue Wu ,  Minwoo Park ,  Cheng-Chieh Yang

IPC: G06T7/215 ,  G06T7/60 ,  G06V10/422

Abstract: In various examples, an ego-machine may analyze sensor data to identify and track features in the sensor data using. Geometry of the tracked features may be used to analyze motion flow to determine whether the motion flow violates one or more geometrical constraints. As such, tracked features may be identified as dynamic features when the motion flow corresponding to the tracked features violates the one or more static constraints for static features. Tracked features that are determined to be dynamic features may be clustered together according to their location and feature track. Once features have been clustered together, the system may calculate a detection bounding shape for the clustered features. The bounding shape information may then be used by the ego-machine for path planning, control decisions, obstacle avoidance, and/or other operations.