US 12,179,767 B2 · Intelligent driving method and intelligent driving system

Abstract

An intelligent driving method comprising: obtaining feature parameters of a vehicle at a current moment and a road attribute of a driving scenario of the vehicle in a preset future time period; comparing the feature parameters at the current moment with feature parameters of a standard scenario in a scenario feature library; comparing the road attribute of the driving scenario of the vehicle in the preset future time period with a road attribute of the standard scenario in the scenario feature library; determining a total similarity of each scenario class to a driving scenario of the vehicle at the current moment based on comparing results; determining, as the driving scenario at the current moment, a first scenario class with a highest total similarity in N scenario classes; and controlling, based on the determining result, the vehicle to perform intelligent driving.

Claims20

Dependent claims

A system comprising:

a processor configured to:
obtain first feature parameters of a vehicle at a first time and a future road attribute of a future driving scenario of the vehicle in a preset future time period after the first time, wherein the first feature parameters comprise structured semantic information, a road attribute, and a traffic status spectrum;
and
select a first driving scenario class in a scenario feature library based on the first feature parameters and the future road attribute;
a display device coupled to the processor and configured to:
display a first prompt prompting a driver that a first driving scenario of the vehicle at the first time is switched to the first driving scenario class;
and
receive a first instruction corresponding to the first prompt, wherein the first instruction instructs switching from the first driving scenario to the first driving scenario class;
and
a controller coupled to the processor and configured to control a driving status of the vehicle based on the first driving scenario class.

7 more elements

An intelligent driving method, comprising:

obtaining current feature parameters of a vehicle at a current moment and a future road attribute of a future driving scenario of the vehicle in a preset future time period, wherein the current feature parameters comprise structured semantic information, a road attribute, and a traffic status spectrum;
performing a first comparison of the current feature parameters with standard feature parameters of standard scenarios in a scenario feature library;
and
performing a second comparison of the future road attribute with standard road attributes of the standard scenarios, wherein a first similarity of a first standard scenario of each scenario class in the scenario feature library to a current driving scenario of the vehicle at the current moment and a second similarity of a second standard scenario of each scenario class in the scenario feature library to the current driving scenario is based on the first comparison and the second comparison, wherein the scenario feature library comprises N scenario classes, wherein each of the scenario classes comprises M standard scenarios, wherein each of the standard scenarios corresponds to the standard feature parameters, wherein both N and M are integers greater than or equal to 2, and wherein a scenario class corresponding to the current driving scenario is based on the first similarity and the second similarity of each of the N scenario classes.

1 more element

An intelligent driving system, comprising:

a perception fuser configured to obtain current feature parameters of a vehicle at a current moment and a future road attribute of a driving scenario of the vehicle in a preset future time period, wherein the current feature parameters comprise structured semantic information, a road attribute, and a traffic status spectrum;
and
a scenario class recognizer configured to:
perform a first comparison of the current feature parameters with standard feature parameters of standard scenarios in a scenario feature library;
and
perform a second comparison of the future road attribute with standard road attributes of the standard scenarios, wherein a first similarity of a first standard scenario of each scenario class in the scenario feature library to a current driving scenario of the vehicle at the current moment and a second similarity of a second standard scenario of each scenario class in the scenario feature library to the current driving scenario is based on the first comparison and the second comparison, wherein the scenario feature library comprises N scenario classes, wherein each of the scenario classes comprises M standard scenarios, wherein each of the standard scenarios corresponds to the standard feature parameters, and wherein both N and M are integers greater than or equal to 2, and wherein a scenario class corresponding to the current driving scenario is based on the first similarity and the second similarity of each of the N scenario classes.

3 more elements

Dependencies are inferred from the claim text.

Intelligent driving method and intelligent driving system

Life of this patent

Intelligent driving method and intelligent driving system

Life of this patent

Abstract

Claims20