Method and system for risk based driving mode switching in hybrid driving

1. A method, implemented on a machine having at least one processor, storage, and a communication platform capable of connecting to a network for operating a vehicle, the method comprising:

obtaining real-time data related to the vehicle;

evaluating a first risk associated with a current mode of operation of the vehicle based on the real-time data;

determining, in response to the first risk satisfying a first criterion, a second risk associated with switching the current mode to a different mode of operation of the vehicle; and

in response to the second risk satisfying a second criterion

generating a set of tasks to be performed by the driver of the vehicle to switch the vehicle from the current mode to the different mode,

providing the set of tasks to the driver of vehicle, and

switching the vehicle from the current mode to the different mode in response to the set of tasks being successfully completed by the driver of the vehicle.

2. The method of claim 1 , wherein the first risk is indicative of a first level of danger if the vehicle continues to be operated in the current mode, and the second risk is indicative of a second level of danger by switching from the current mode to the different mode.

3. The method of claim 1 , wherein the first criterion corresponds to the first risk exceeding a first level associated with the current mode of operation of the vehicle, and the second criterion corresponds to the second risk not exceeding a second level associated with the different mode of operation of the vehicle.

4. The method of claim 1 , wherein the real-time data related to the vehicle includes intrinsic capability of the vehicle and extrinsic capability of the vehicle, the intrinsic capability of the vehicle including information relevant to operational capability of the vehicle, and the extrinsic capability of the vehicle including information relevant to an external environment of the vehicle.

5. The method of claim 1 , further comprises:

estimating a total duration of time needed to complete the set of tasks by the driver of the vehicle;

determining, based on the first risk, a first duration of time required to switch from the current mode to the different mode; and

determining the second risk based on the total duration of time and the first duration of time.

6. The method of claim 5 , wherein the total duration of time is estimated based on an observed state of a driver of the vehicle.

7. The method of claim 6 , wherein the observed state of the driver is estimated based on information obtained from a plurality of sensors disposed in the vehicle, and wherein the observed state of the driver includes at least one of a pose of the driver, a functional state of the driver, a health state of the driver, and a mental state of the driver.

8. A machine readable medium having information stored thereon for operating a vehicle, wherein the information, when read by the machine, causes the machine to perform operations comprising:

obtaining real-time data related to the vehicle;

evaluating a first risk associated with a current mode of operation of the vehicle based on the real-time data;

determining, in response to the first risk satisfying a first criterion, a second risk associated with switching the current mode to a different mode of operation of the vehicle; and

in response to the second risk satisfying a second criterion

generating a set of tasks to be performed by the driver of the vehicle to switch the vehicle from the current mode to the different mode,

providing the set of tasks to the driver of vehicle, and

switching the vehicle from the current mode to the different mode in response to the set of tasks being successfully completed by the driver of the vehicle.

9. The medium of claim 8 , wherein the first risk is indicative of a first level of danger if the vehicle continues to be operated in the current mode, and the second risk is indicative of a second level of danger by switching from the current mode to the different mode.

10. The medium of claim 8 , wherein the first criterion corresponds to the first risk exceeding a first level associated with the current mode of operation of the vehicle, and the second criterion corresponds to the second risk not exceeding a second level associated with the different mode of operation of the vehicle.

11. The medium of claim 10 , wherein the real-time data related to the vehicle includes intrinsic capability of the vehicle and extrinsic capability of the vehicle, the intrinsic capability of the vehicle including information relevant to operational capability of the vehicle, and the extrinsic capability of the vehicle including information relevant to an external environment of the vehicle.

12. The medium of claim 8 , wherein the operations further comprise:

estimating a total duration of time needed to complete the set of tasks by the driver of the vehicle;

determining, based on the first risk, a first duration of time required to switch from the current mode to the different mode; and

determining the second risk based on the total duration of time and the first duration of time.

13. The medium of claim 12 , wherein the total duration of time is estimated based on an observed state of a driver of the vehicle.

14. The medium of claim 13 , wherein the observed state of the driver is estimated based on information obtained from a plurality of sensors disposed in the vehicle, and wherein the observed state of the driver includes at least one of a pose of the driver, a functional state of the driver, a health state of the driver, and a mental state of the driver.

15. A system for operating a vehicle, the system comprising:

at least one processor configured to:

obtain real-time data related to the vehicle;

evaluate a first risk associated with a current mode of operation of the vehicle based on the real-time data;

determine, in response to the first risk satisfying a first criterion, a second risk associated with switching the current mode to a different mode of operation of the vehicle; and

in response to the second risk satisfying a second criterion

generate a set of tasks to be performed by the driver of the vehicle to switch the vehicle from the current mode to the different mode,

provide the set of tasks to the driver of vehicle, and

switch the vehicle from the current mode to the different mode in response to the set of tasks being successfully completed by the driver of the vehicle.

16. The system of claim 15 , wherein the first risk is indicative of a first level of danger if the vehicle continues to be operated in the current mode, and the second risk is indicative of a second level of danger by switching from the current mode to the different mode.

17. The system of claim 15 , wherein the first criterion corresponds to the first risk exceeding a first level associated with the current mode of operation of the vehicle, and the second criterion corresponds to the second risk not exceeding a second level associated with the different mode of operation of the vehicle.

18. The system of claim 15 , wherein the real-time data related to the vehicle includes intrinsic capability of the vehicle and extrinsic capability of the vehicle, the intrinsic capability of the vehicle including information relevant to operational capability of the vehicle, and the extrinsic capability of the vehicle including information relevant to an external environment of the vehicle.

19. The system of claim 15 , wherein the at least one processor is further configured to

estimate a total duration of time needed to complete the set of tasks by the driver of the vehicle;

determine, based on the first risk, a first duration of time required to switch from the current mode to the different mode; and

determine the second risk based on the total duration of time and the first duration of time.

20. The system of claim 19 , wherein the total duration of time is estimated based on an observed state of a driver of the vehicle.