Invention Grant
- Patent Title: Object pose estimation
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Application No.: US16416075Application Date: 2019-05-17
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Publication No.: US11670001B2Publication Date: 2023-06-06
- Inventor: Arsalan Mousavian , Yu Xiang , Dieter Fox
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA CORPORATION
- Current Assignee: NVIDIA CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: Davis Wright Tremaine LLP
- Main IPC: G06T7/73
- IPC: G06T7/73 ; G06T11/20 ; G06V20/58 ; G06N3/04 ; G06N3/08

Abstract:
In an embodiment, a system provides object tracking and 6D pose estimations to a robot that performs different tasks such as manipulation and navigation. In an embodiment the 6D object pose is determined using a Rao-Blackwellized particle filtering framework, where the 3-D rotation and the 3-D translation of the object is decoupled. In an embodiment, the system provides the 3-D translation of an object along with a full distribution over the 3-D rotation. In an embodiment, the 3-D rotation is determined by discretizing the rotation space, and training an autoencoder network to construct a codebook of feature embeddings for the discretized rotations. In an embodiment, the system is able to track objects with arbitrary symmetries while also maintaining adequate posterior distributions.
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