School zone alert

1. A method for school zone alert, the method comprises:

receiving by a vehicle computerized system, school zone indicators, wherein the school zone indicators are indicative of school zone objects;

obtaining sensed information regarding an environment of the vehicle;

processing the sensed information, wherein the processing comprises searching for one or more school zone indicators of the school zone indicators; wherein the school zone indicators are indicative of school zone objects that (a) appear or occur at a first probability in school zones and (b) appear or occur outside the school zones at a second probability, the second probability is lower by at least thirty percent than the first probability; wherein the school zone indicators are learnt by unsupervised learning; wherein the school zone objects comprise one or more school zone objects that differ from a school zone traffic sign, and differ from a school zone text written on a road;

autonomously determining, when finding at least one of the one or more school zone identifiers, that the vehicle is within the school zone; and

controlling an aspect of driving the vehicle when determining that the vehicle is within the school zone.

2. The method according to claim 1 , comprising generating the school zone indicators by:

obtaining school zone occurrence information regarding occurrences of school zone objects within school zone sensed information that was obtained in the school zones;

obtaining driving session occurrence information regarding occurrences of driving session objects within driving session school zone sensed information; wherein at least a majority of the driving session sensed information differs from school zone sensed information; wherein the driving session sensed information is obtained outside the school zones; and

determining the school zone identifiers, based on the school zone occurrence information and the driving session occurrence information.

3. The method according to claim 1 , further comprising predicting an average speed and riding direction of children riding bicycles on their way to a bicycle parking of the school, wherein the bicycle parking and the children are some of the school zone objects.

4. The method according to claim 1 , wherein the school zone occurrence information and the driving session occurrence information are normalized per time period.

5. The method according to further comprising predicting a behavior of the one or more school zone objects by performing statistical inference.

6. The method according to claim 1 , wherein the school zone objects comprise at least one of (i) school crossing guards, (ii) children carrying school bags, and (iii) children wearing school uniform.

7. The method according to claim 1 , wherein the school zone objects comprise at least one of (i) a school bus, (ii) a school building, or (iii) a school playground.

8. The method according to claim 1 , further comprising generating an ADAS response when determining that the vehicle is driving towards the school zone or is within the school zone.

9. The method according to claim 1 , further comprising generating a recommendation aimed to a human driver.

10. The method according to claim 1 , further comprising predicted, by performing statistical inference, a duration of blocking traffic by school crossing guards, wherein the school crossing guards are school zone objects wherein the ADAS response comprises controlling an aspect of driving a vehicle.

11. The method according to claim 1 , further comprising predicting, by performing statistical inference, a time of an exit of at least ten children from a school building.

12. The method according to claim 1 , further comprising obtaining school zone location information and verifying one or more school zone indicators based on the school zone location information.

13. The method according to claim 1 , further comprising obtaining school zone location and activity time information and verifying one or more school zone indicators based on the school zone location and activity time information.

14. A method for school zone alert, the method comprises:

receiving by a vehicle computerized system, school zone indicators, wherein the school zone indicators are indicative of school zone objects;

obtaining sensed information regarding an environment of the vehicle;

processing the sensed information, wherein the processing comprises searching for one or more school zone indicators of the school zone indicators; wherein the school zone indicators are indicative of school zone objects that (a) appear or occur at a first probability in school zones and (b) appear or occur outside the school zones at a second probability, the second probability is lower by at least thirty percent than the first probability; wherein the school zone indicators are learnt by unsupervised learning; wherein the school zone objects comprise one or more school zone objects that differ from a school zone traffic sign, and differ from a school zone text written on a road;

autonomously determining, when finding at least one of the one or more school zone identifiers, that the vehicle is within the school zone; and

generating an alert when determining that the vehicle is within the school zone.

15. The method according to claim 14 further comprising controlling an aspect of driving the vehicle when determining that the vehicle is within the school zone.

16. The method according to claim 14 , comprising generating the school zone indicators by: obtaining school zone occurrence information regarding occurrences of school zone objects within school zone sensed information that was obtained in the school zones; obtaining driving session occurrence information regarding occurrences of driving session objects within driving session school zone sensed information; wherein at least a majority of the driving session sensed information differs from school zone sensed information; wherein the driving session sensed information is obtained outside the school zones; and determining the school zone identifiers, based on the school zone occurrence information and the driving session occurrence information.