Invention Grant
- Patent Title: Occupancy prediction neural networks
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Application No.: US17862499Application Date: 2022-07-12
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Publication No.: US11772654B2Publication Date: 2023-10-03
- Inventor: Hyman Murveit , Abhijit Ogale , Yu-Han Chen , Alper Ayvaci
- 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: B60W30/18
- IPC: B60W30/18 ; G06T7/174 ; G05D1/00 ; G05D1/02 ; G01S13/931 ; G01S7/41 ; G06V20/58 ; G06F18/214 ; G06V10/25 ; G06V10/774 ; G06V10/80

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a future occupancy prediction for a region of an environment. In one aspect, a method comprises: receiving sensor data generated by a sensor system of a vehicle that characterizes an environment in a vicinity of the vehicle as of a current time point, wherein the sensor data comprises a plurality of sensor samples characterizing the environment that were each captured at different time points; processing a network input comprising the sensor data using a neural network to generate an occupancy prediction output for a region of the environment, wherein: the occupancy prediction output characterizes, for one or more future intervals of time after the current time point, a respective likelihood that the region of the environment will be occupied by an agent in the environment during the future interval of time.
Public/Granted literature
- US20220343657A1 OCCUPANCY PREDICTION NEURAL NETWORKS Public/Granted day:2022-10-27
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