US 2022/0067479 A1 · VEHICLE ENTRY DETECTION

Abstract

Certain aspects of the present disclosure are generally directed to apparatus and techniques for event state detection. One example method generally includes receiving a plurality of sensor signals at a computing device, determining, at the computing device, probabilities of sub-event states based on the plurality of sensor signals using an artificial neural network for each of a plurality of time intervals, and detecting, at the computing device, the event state based on the probabilities of the sub-event states via a state sequence model.

Claims30

Dependent claims

A method for event state detection, comprising:

receiving a plurality of sensor signals at a computing device;
determining, at the computing device, probabilities of sub-event states based on the plurality of sensor signals using an artificial neural network for each of a plurality of time intervals;
and
detecting, at the computing device, an event state based on the probabilities of the sub-event states via a state sequence model.

1 more element

Dependencies are inferred from the claim text.

Facts

Application

17/274,602Filed 8 Oct 2019

Priority

CN PCT/CN2018/1092628 Oct 2018

Published

3 Mar 2022

Term ends

Not estimatedThe source records don’t support an estimate.

Classification13 codes

G06V 20/59
Context or environment of the image: inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
G01C 21/3688
Input/output arrangements for on-board computers: systems comprising multiple parts or multiple output devices , e.g. detachable faceplates, key…
G06N 3/02
Computing arrangements based on biological models: neural networks
G06N 3/044
Architecture, e.g. interconnection topology: recurrent networks, e.g. Hopfield networks

Vehicle entry detection

Life of this patent

Vehicle entry detection

Life of this patent

Abstract

Claims30