AUTONOMOUS DRIVING METHOD AND APPARATUS, AND VEHICLE
An autonomous driving method and apparatus, and a vehicle are provided. The autonomous driving method includes: An autonomous driving apparatus obtains traveling data and environment data of a vehicle when the vehicle is in a manual driving mode, and when the vehicle has a risk, outputs warning information based on the traveling data and the environment data of the vehicle, to prompt a driver that the vehicle has the risk; the autonomous driving apparatus obtains information about feedback behavior that is of the driver and that is based on the warning information, and determines a driving status of the driver; and when the driving status is an abnormal state, the autonomous driving apparatus switches a driving mode of the vehicle from the manual driving mode to an autonomous driving mode, to enable the vehicle to enter an autonomous driving state.
1 . An autonomous driving method, comprising:
obtaining traveling data and environment data of a vehicle when a driving mode of the vehicle is a manual driving mode;
when the vehicle has a risk based on the traveling data and the environment data of the vehicle, outputting warning information to prompt a driver that the vehicle has the risk;
obtaining feedback behavior information of the driver based on the warning information;
determining a driving status of the driver based on the feedback behavior information, wherein the driving status comprises an abnormal state or a normal state; and
switching the driving mode of the vehicle from the manual driving mode to an autonomous driving mode when the driving status is the abnormal state, to enable the vehicle to enter an autonomous driving state.
2 . The method according to claim 1 , wherein outputting the warning information based on the traveling data and the environment data of the vehicle comprises:
determining, based on the traveling data and the environment data of the vehicle, a warning level that indicates a magnitude of the risk that is to occur on the vehicle; and
outputting the warning information corresponding to the warning level.
3 . The method according to claim 2 , wherein
a higher warning level indicates more types of prompt information comprised in the corresponding warning information; and
the warning information comprises one or more of the following:
visual prompt information;
sound prompt information; or
seat vibration prompt information.
4 . The method according to claim 2 , wherein determining the warning level based on the traveling data and the environment data of the vehicle comprises:
determining risk information comprising a risk level based on the traveling data and the environment data of the vehicle; and
determining the warning level based on the risk level.
5 . The method according to claim 4 , wherein
the risk information further comprises a risk type;
the feedback behavior information corresponds to the risk type;
the risk type comprises one or more of the following:
a rear-end collision;
scratching;
lane departure;
red-light running;
speeding; or
an obstacle; and
the feedback behavior information comprises a status of a manipulable component of the vehicle.
6 . The method according to claim 4 , wherein determining the risk information based on the traveling data and the environment data of the vehicle comprises:
inputting the traveling data and the environment data of the vehicle into a first model to obtain the risk information.
7 . The method according to claim 2 , wherein, before the switching the driving mode of the vehicle from the manual driving mode to the autonomous driving mode, the method further comprises:
determining that one or more of a physiological status of the driver and the warning level meet a preset condition
comprising at least one of:
the physiological status is an abnormal state;
the warning level is greater than or equal to a warning threshold; or
the physiological status is a normal state and the warning level is greater than or equal to a warning threshold.
8 . The method according to claim 7 , further comprising:
obtaining physiological feature data of the driver; and
inputting the physiological feature data into a second model to obtain the physiological status.
9 . The method according to claim 1 , wherein determining the driving status of the driver based on the feedback behavior information comprises:
inputting the feedback behavior information into a third model to obtain the driving status.
10 . An autonomous driving apparatus, wherein the apparatus comprises:
one or more memories configured to store programming instructions; and
one or more processors coupled to the one or more memories and configured to execute the programming instructions to cause the apparatus to:
obtain traveling data and environment data of a vehicle when a driving mode of the vehicle is a manual driving mode;
when the vehicle has a risk, based on the traveling data and the environment data of the vehicle, control output warning information to prompt a driver that the vehicle has the risk;
obtain feedback behavior information of the driver based on the warning information;
determine a driving status of the driver based on the feedback behavior information, wherein the driving status comprises an abnormal state or a normal state; and
switch the driving mode of the vehicle from the manual driving mode to an autonomous driving mode when the driving status is the abnormal state, to enable the vehicle to enter an autonomous driving state.
11 . The apparatus according to claim 10 , wherein the one or more processors are further configured to execute the instructions to cause the apparatus to:
determine, based on the traveling data and the environment data of the vehicle, a warning level that indicates a magnitude of the risk that is to occur on the vehicle; and
control a warning output unit to output the warning information corresponding to the warning level.
12 . The apparatus according to claim 10 , wherein
a higher warning level indicates more types of prompt information comprised in the corresponding warning information; and
the warning information comprises one or more of the following:
visual prompt information;
sound prompt information; or
seat vibration prompt information.
13 . The apparatus according to claim 11 , wherein the one or more processors are further configured to execute the instructions to cause the apparatus to:
determine risk information comprising a risk level based on the traveling data and the environment data of the vehicle, wherein the risk information comprises a risk level; and
determine the warning level based on the risk level.
14 . The apparatus according to claim 13 , wherein
the risk information further comprises a risk type;
the feedback behavior information corresponds to the risk type;
the risk type comprises one or more of the following:
a rear-end collision;
scratching;
lane departure;
red-light running;
speeding; or
an obstacle; and
the feedback behavior information comprises a status of a manipulable component of the vehicle.
15 . The apparatus according to claim 13 , wherein the one or more processors are further configured to execute the instructions to cause the apparatus to:
input the traveling data and the environment data of the vehicle into a first model to obtain the risk information.
16 . The apparatus according to claim 11 , wherein the one or more processors are further configured to execute the instructions to cause the apparatus to:
determine that one or more of a physiological status of the driver and the warning level meet a preset condition
comprising at least one of:
the physiological status is an abnormal state;
the warning level is greater than or equal to a warning threshold; or
the physiological status is a normal state and the warning level is greater than or equal to a warning threshold.
17 . The apparatus according to claim 10 , wherein the apparatus is a vehicle-mounted apparatus.
18 . The apparatus according to claim 10 , wherein the apparatus is a server.
19 . A vehicle, comprising:
at least one sensor configured to obtain initial traveling data and initial environment data of the vehicle;
an autonomous driving apparatus configured to generate traveling data and environmental data of the vehicle based on the initial traveling data and the initial environment data of the vehicle; and
a warning output apparatus configured to output warning information to a driver of the vehicle, the warning output apparatus comprising:
one or more memories configured to store programming instructions; and
one or more processors coupled to the one or more memories and configured to execute the instructions to cause the apparatus to:
obtain the traveling data and the environment data of the vehicle when a driving mode of the vehicle is a manual driving mode;
when the vehicle has a risk, based on the traveling data and the environment data of the vehicle, control output warning information to prompt a driver that the vehicle has the risk;
obtain feedback behavior information of the driver based on the warning information;
determine a driving status of the driver based on the feedback behavior information, wherein the driving status comprises an abnormal state or a normal state; and
switch the driving mode of the vehicle from the manual driving mode to an autonomous driving mode when the driving status is the abnormal state, to enable the vehicle to enter an autonomous driving state.
20 . The vehicle according to claim 19 , further comprising:
an autonomous driving system configured to take over the vehicle after the autonomous driving apparatus switches the vehicle to the autonomous driving mode.