Systems and methods for maintaining vehicle state information
Systems and methods for monitoring a fleet of self-driving vehicles are disclosed. The system comprises one or more self-driving vehicles having at least one sensor for collecting current state information, a fleet-management system, and computer-readable media for storing reference data. The method comprises autonomously navigating a self-driving vehicle in an environment, collecting current state information using the vehicle's sensor, comparing the current state information with the reference data, identifying outlier data in the current state information, and generating an alert based on the outlier data. A notification based on the alert may be sent to one or more monitoring devices according to the type and severity of the outlier.
1 . A method for monitoring a fleet of self-driving vehicles, comprising:
autonomously navigating a self-driving vehicle in an environment;
collecting current state semantic data using at least one sensor of the self-driving vehicle;
comparing the current state semantic data with reference semantic data;
based on the comparing, determining whether the current state information conforms with the reference semantic data; and
in response to determining that the current state information does not conform with the reference semantic data:
determining at least one property of the current state semantic data that does not conform with the semantic reference data;
associating the determined at least one property with an escalation level; and
generating at least one alert for one or more user groups based on the escalation level.
2 . The method of claim 1 , wherein:
the current state semantic data comprises a presence or an absence of an object; and
the reference semantic data comprises a particular location within the environment.
3 . The method of claim 2 , wherein:
the object comprises another self-driving vehicle; and
the particular location comprises a parking spot.
4 . The method of claim 2 , wherein the object comprises one or more of a human or a piece of equipment.
5 . The method of claim 2 , wherein the particular location comprises one or more of a critical zone, a high-traffic zone, a restricted zone, or an excluded zone.
6 . The method of claim 1 , comprises comparing the current state semantic data with a deviation from the reference semantic data.
7 . The method of claim 6 , wherein:
the current state semantic data relates to a static object; and
the reference semantic data comprises a position or an orientation of the static object within the environment.
8 . The method of claim 7 , wherein the static object comprises one or more of a piece of equipment, a shelf, or a wall.
9 . The method of claim 1 , wherein the reference semantic data is collected by other vehicles in the environment.
10 . The method of claim 1 , further comprising recording the at least one alert in an alert log on a non-transient computer-readable media.
11 . A system for monitoring a fleet of self-driving vehicles, comprising:
one or more self-driving vehicles each having at least one sensor for collecting current state semantic data;
a fleet-management system in communication with the one or more self-driving vehicles;
one or more user devices in communication with the fleet-management system; and
a non-transient computer-readable media for storing reference semantic data in communication with the fleet-management system;
wherein the fleet-management system is configured to:
receive the reference semantic data from the non-transient computer-readable media;
receive the current state semantic data from a self-driving vehicle of the one or more self-driving vehicles;
compare the current state semantic data with reference semantic data;
based on the comparing, determine whether the current state information conforms with the reference semantic data; and
in response to determining that the current state information does not conforms with the reference semantic data:
determine at least one property of the current state semantic data that does not conform with the semantic reference data;
associate the determined at least one property with an escalation level; and
generate at least one alert for one or more user groups based on the escalation level.
12 . The system of claim 11 , wherein:
the current state semantic data comprises a presence or an absence of an object; and
the reference semantic data comprises a particular location within the environment.
13 . The system of claim 12 , wherein:
the object comprises another self-driving vehicle; and
the particular location comprises a parking spot.
14 . The system of claim 12 , wherein the object comprises a human.
15 . The system of claim 12 , wherein the particular location comprises one or more of a critical zone, a high-traffic zone, a restricted zone, or an excluded zone.
16 . The system of claim 11 , wherein the fleet-management system is configured to compare the current state semantic data with a deviation from the reference semantic data.
17 . The system of claim 16 , wherein:
the current state semantic data relates to a static object; and
the reference semantic data comprises a position of the static object within the environment.
18 . The system of claim 17 , wherein the static object comprises one or more of a piece of equipment, a shelf, or a wall.
19 . The system of claim 11 , wherein the reference semantic data is collected by other vehicles in the environment.
20 . The system of claim 11 , wherein the fleet-management system is further configured to record the at least one alert in an alert log on the non-transient computer-readable media.