Invention Grant
- Patent Title: Making object-level predictions of the future state of a physical system
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Application No.: US17137255Application Date: 2020-12-29
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Publication No.: US11388424B2Publication Date: 2022-07-12
- Inventor: Nicholas Watters , Razvan Pascanu , Peter William Battaglia , Daniel Zorn , Theophane Guillaume Weber
- Applicant: DeepMind Technologies Limited
- Applicant Address: GB London
- Assignee: DeepMind Technologies Limited
- Current Assignee: DeepMind Technologies Limited
- Current Assignee Address: GB London
- Agency: Fish & Richardson P.C.
- Main IPC: H04N19/174
- IPC: H04N19/174 ; H04N19/105 ; H04N19/139 ; H04N19/46 ; H04N19/52 ; H04N19/577 ; H04N19/61

Abstract:
A system implemented by one or more computers comprises a visual encoder component configured to receive as input data representing a sequence of image frames, in particular representing objects in a scene of the sequence, and to output a sequence of corresponding state codes, each state code comprising vectors, one for each of the objects. Each vector represents a respective position and velocity of its corresponding object. The system also comprises a dynamic predictor component configured to take as input a sequence of state codes, for example from the visual encoder, and predict a state code for a next unobserved frame. The system further comprises a state decoder component configured to convert the predicted state code, to a state, the state comprising a respective position and velocity vector for each object in the scene. This state may represent a predicted position and velocity vector for each of the objects.
Public/Granted literature
- US20210152835A1 MAKING OBJECT-LEVEL PREDICTIONS OF THE FUTURE STATE OF A PHYSICAL SYSTEM Public/Granted day:2021-05-20
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