System and method for engaging a driver during autonomous driving mode
The present subject matter relates to a method and system maintaining driver alertness while driving mode of a vehicle is changed from manual to autonomous driving mode. The system includes a monitoring module to detect a transition from a manual drive mode to an autonomous drive mode. Based on this, a driver monitoring module gets activated. The driver monitoring module once activated, monitors the driver alertness during the autonomous drive mode. The system further includes an interactive module, which is connected to the monitoring module that gets activated in case alertness level of the driver falls below a first threshold value. The first threshold value may be determined based on multiple attributes. Further, the interactive training program is deactivated if the alertness of the driver is equal or greater than a second threshold value.
1. A device ( 300 ) for engaging a driver during an autonomous mode comprising:
a drive mode monitoring module ( 302 ) configured to detect a transition from a manual drive mode to an autonomous drive mode;
a driver monitoring module ( 304 ) to monitor driver alertness during the autonomous drive mode; and
an interactive module ( 314 ), further comprising;
a processing module ( 310 ) configured to activate an interactive training program in case alertness of the driver falls below a first threshold value wherein the first threshold value for alertness is determined based on plurality of attributes, wherein further the interactive training program is deactivated if the alertness of the driver is equal or greater than a second threshold value;
a training module ( 312 ) configured to receive activation or deactivation instructions from the processing module ( 310 ).
2. The device ( 300 ) as claimed in claim 1 , wherein the plurality of attributes is condition of road, traffic conditions, atmospheric conditions.
3. The device ( 300 ) as claimed in claim 1 , wherein the interactive training program enhances driving shortcomings of the driver identified by the processing module ( 310 ).
4. The device ( 300 ) as claimed in claim 3 , wherein the shortcomings of the driver are determined based on a comparison between driving behavior of the driver that is continuously monitored and optimal driving behavior corresponding to other drivers stored in a database.
5. The device ( 300 ) as claimed in claim 1 , wherein the interactive training program enhances traffic rule knowledge of the driver.
6. The device ( 300 ) as claimed in claim 5 , wherein the traffic rule knowledge of the driver is determined based on a violations of traffic rules determined by the processing module ( 310 ).
7. The device ( 300 ) as claimed in claim 1 , wherein the interactive training program enhances a vehicle operation error knowledge of the driver.
8. The device ( 300 ) as claimed in claim 7 , wherein the vehicle operation error rule knowledge of the driver is determined based on a vehicle operational issues faced by the driver in past or by other vehicle drivers in general.
9. A method for engaging a driver during an autonomous drive mode comprising:
detecting a transition from a manual drive mode to the autonomous drive mode;
monitoring driver alertness during the autonomous drive mode;
activating an interactive training program in case alertness of the driver falls below a first threshold value wherein the first threshold value for alertness is determined based on plurality of attributes, wherein further the interactive training program is deactivated if the alertness of the driver is equal or greater than a second threshold value.
10. The method as claimed in claim 9 , wherein the plurality of attributes is condition of road, traffic conditions, atmospheric conditions.
11. The method as claimed in claim 9 , wherein the interactive training program enhances driving shortcomings of the driver identified by a processing module ( 310 ).
12. The method as claimed in claim 11 , wherein the shortcomings of the driver are determined based on a comparison between driving behavior of the driver that is continuously monitored and optimal driving behavior corresponding to other drivers stored in a database.
13. The method as claimed in claim 9 , wherein the interactive training program enhances traffic rule knowledge of the driver.
14. The method as claimed in claim 13 , wherein the traffic rule knowledge of the driver is determined based on a violations of traffic rules determined by a processing module ( 310 ).
15. The method as claimed in claim 9 , wherein the interactive training program enhances a vehicle operation error knowledge of the driver.
16. The method as claimed in claim 15 , wherein the vehicle operation error rule knowledge of the driver is determined based on a vehicle operational issues faced by the driver.