Patent ID: 11966852
Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A method for situation awareness implemented on a computing device, the computing device including at least one non-transitory storage medium including a set of instructions for executing the method and at least one processor for executing the set of instructions, the method comprising:
obtaining, from at least one of one or more sensors, environmental data associated with an environment corresponding to a first time point;
generating a first static global representation of an environment corresponding to the first time point based at least in part on the environmental data, the first static global representation indicating a first state of one or more static elements in the environment;
generating a first dynamic global representation of the environment corresponding to the first time point based at least in part on the environmental data, the first dynamic global representation indicating a first state of one or more moving elements in the environment; and
estimating, based on the first static global representation and the first dynamic global representation, a target state of the environment at a target time point using a target estimation model, wherein
the target time point is later than the first time point, and the target state of the environment includes whether an abnormal situation in the environment is likely to occur,
the target estimation model is a trained neural network model, and
the estimating, based on the first static global representation and the first dynamic global representation, the target state of the environment at the target time point using a target estimation model includes:
generating a joint global representation of the first state of the environment corresponding to the first time point by fusing the first static global representation and the first dynamic global representation;
determining, based on the joint global representation, a target probability using the target estimation model, wherein the target probability is a probability that an abnormal situation is likely to occur in the environment at the target time point;
comparing the target probability with a probability threshold; and
in response to a determination that the target probability exceeds the probability threshold, estimating that an abnormal situation is likely to occur in the environment at the target time point.