Invention Grant
- Patent Title: Deep structured scene flow for autonomous devices
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Application No.: US16531720Application Date: 2019-08-05
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Publication No.: US11468575B2Publication Date: 2022-10-11
- Inventor: Raquel Urtasun , Wei-Chiu Ma , Shenlong Wang , Yuwen Xiong , Rui Hu
- Applicant: UATC, LLC
- Applicant Address: US CA San Francisco
- Assignee: UATC, LLC
- Current Assignee: UATC, LLC
- Current Assignee Address: US CA San Francisco
- Agency: Dority & Manning, P.A.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/246 ; G06T7/593 ; G06T7/00 ; G06V10/40

Abstract:
Systems, methods, tangible non-transitory computer-readable media, and devices associated with motion flow estimation are provided. For example, scene data including representations of an environment over a first set of time intervals can be accessed. Extracted visual cues can be generated based on the representations and machine-learned feature extraction models. At least one of the machine-learned feature extraction models can be configured to generate a portion of the extracted visual cues based on a first set of the representations of the environment from a first perspective and a second set of the representations of the environment from a second perspective. The extracted visual cues can be encoded using energy functions. Three-dimensional motion estimates of object instances at time intervals subsequent to the first set of time intervals can be determined based on the energy functions and machine-learned inference models.
Public/Granted literature
- US20200160537A1 Deep Structured Scene Flow for Autonomous Devices Public/Granted day:2020-05-21
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