Invention Grant
- Patent Title: Interacted object detection neural network
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Application No.: US17342434Application Date: 2021-06-08
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Publication No.: US11544869B2Publication Date: 2023-01-03
- Inventor: Alper Ayvaci , Yu-Han Chen , Ruichi Yu , Chen Wu , Noha Waheed Ahmed Radwan , Jonathon Shlens
- Applicant: Waymo LLC
- Applicant Address: US CA Mountain View
- Assignee: Waymo LLC
- Current Assignee: Waymo LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06T7/73
- IPC: G06T7/73 ; G06T7/50 ; G06K9/62 ; G06N3/08 ; G06N3/04

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.
Public/Granted literature
- US20210295555A1 Interacted Object Detection Neural Network Public/Granted day:2021-09-23
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