US 2020/0369271 A1 · ELECTRONIC APPARATUS FOR DETERMINING A DANGEROUS SITUATION OF A VEHICLE AND METHOD OF OPERATING THE SAME

Abstract

An electronic apparatus is provided. The electronic apparatus includes at least one processor configured to detect, by a sensor, a driving state of a vehicle or a driving state of another vehicle in a vicinity of the vehicle while the vehicle is being driven, obtain state data including the driving state of the vehicle and the driving state of the other vehicle, and use at least one data recognition model to determine a dangerous situation of the vehicle after a certain period of time while the vehicle is being driven, based on the obtained state data. The electronic apparatus may predict a dangerous situation of the vehicle by using a rule-based algorithm or an artificial intelligence (AI) algorithm. The electronic apparatus predicts the dangerous situation of the vehicle by using at least one of machine learning, a neural network, and a deep learning algorithm.

Claims20

Dependent claims

An electronic apparatus comprising:

at least one sensor;
a memory configured to store at least one instruction;
and
at least one processor configured to execute the at least one instruction stored in the memory,
wherein, by executing the at least one instruction, the at least one processor is further configured to:
obtain state data, via the at least one sensor, based on detecting a first driving state of a first vehicle and a second driving state of a second vehicle in a vicinity of the first vehicle while the first vehicle is being driven, and
train a data recognition model by using, as a training data, a dangerous situation of the first vehicle which is predicted using the data recognition model based on the obtained state data.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application

16/991,445Filed 12 Aug 2020

Priority

KR 10-2016-017584021 Dec 2016

Published

26 Nov 2020

Term ends

Not estimatedThe source records don’t support an estimate.

Classification20 codes

B60W 30/0956
Predicting travel path or likelihood of collision: the prediction being responsive to traffic or environmental parameters
B60W 50/14
Interaction between the driver and the control system: means for informing the driver, warning the driver or prompting a driver intervention
G06N 3/0442
Recurrent networks, e.g. Hopfield networks: characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
G06N 3/0464
Architecture, e.g. interconnection topology: convolutional networks [CNN, ConvNet]

Electronic apparatus for determining a dangerous situation of a vehicle and method of operating the same

Life of this patent

Electronic apparatus for determining a dangerous situation of a vehicle and method of operating the same

Life of this patent

Abstract

Claims20