Approaches for encoding environmental information

1. A computer-implemented method comprising:

accessing, by a computing system, a set of schema-based encodings associated with an environment, wherein a schema-based encoding provides a structured representation of the environment at a point in time based on a scenario schema, wherein the schema-based encoding is generated based on sensor data captured by at least one sensor of a vehicle while navigating the environment at the point in time;

generating, by the computing system, information representing scenario information associated with the environment based at least in part on the set of schema-based encodings;

determining, by the computing system, one or more attributes associated with the environment based at least in part on the generated information; and

determining, by the computing system, instructions for navigating one or more vehicles in the environment based at least in part on the one or more attributes determined from the generated information that represents the scenario information associated with the environment, wherein the instructions modify operations associated with the one or more vehicles while navigating the environment.

2. The computer-implemented method of claim 1 , wherein determining the one or more attributes further comprises:

determining, by the computing system, a level of difficulty associated with the one or more vehicles navigating the environment.

3. The computer-implemented method of claim 1 , wherein determining the one or more attributes further comprises:

determining, by the computing system, a level of risk associated with the one or more vehicles navigating the environment.

4. The computer-implemented method of claim 1 , wherein determining the one or more attributes further comprises:

determining, by the computing system, routing instructions associated with the environment, the routing instructions providing instructions for routing the one or more vehicles in the first environment;

determining, by the computing system, a level of similarity between the environment and a second environment; and

associating, by the computing system, the routing instructions with the second environment based at least in part on a threshold level of similarity between the environment and the second environment.

5. The computer-implemented method of claim 1 , wherein the environment corresponds to one of: a road segment, a geographic location, a geographic region, or a city.

6. The computer-implemented method of claim 1 , wherein the information corresponds to a histogram representing scenario information associated with the environment.

7. The computer-implemented method of claim 1 , wherein the scenario information includes information identifying one or more families of scenarios.

8. The computer-implemented method of claim 1 , wherein the scenario information includes information identifying one or more individual scenarios.

9. The computer-implemented method of claim 1 , wherein a schema-based encoding of an environment for a period of time identifies one or more agents that were detected by a vehicle within the environment during the period of time, respective motion information for each of the one or more agents, information indicating whether an agent may potentially interact with the vehicle during the period of time, and metadata describing the environment.

10. A system comprising:

at least one processor; and

a memory storing instructions that, when executed by the at least one processor, cause the system to perform:

accessing a set of schema-based encodings associated with an environment, wherein a schema-based encoding provides a structured representation of the environment at a point in time based on a scenario schema, wherein the schema-based encoding is generated based on sensor data captured by at least one sensor of a vehicle while navigating the environment at the point in time;

generating information representing scenario information associated with the environment based at least in part on the set of schema-based encodings;

determining one or more attributes associated with the environment based at least in part on the generated information; and

determining instructions for navigating one or more vehicles in the environment based at least in part on the one or more attributes determined from the generated information that represents the scenario information associated with the environment, wherein the instructions modify operations associated with the one or more vehicles while navigating the environment.

11. The system of claim 10 , wherein determining the one or more attributes further causes the system to perform:

determining a level of difficulty associated with the one or more vehicles navigating the environment.

12. The system of claim 10 , wherein determining the one or more attributes further causes the system to perform:

determining a level of risk associated with the one or more vehicles navigating the environment.

13. The system of claim 10 , wherein determining the one or more attributes further causes the system to perform:

determining routing instructions associated with the environment, the routing instructions providing instructions for routing the one or more vehicles in the environment;

determining a level of similarity between the environment and a second environment; and

associating the routing instructions with the second environment based at least in part on a threshold level of similarity between the environment and the second environment.

14. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform:

accessing a set of schema-based encodings associated with an environment, wherein a schema-based encoding provides a structured representation of the environment at a point in time based on a scenario schema, wherein the schema-based encoding is generated based on sensor data captured by at least one sensor of a vehicle while navigating the environment at the point in time;

generating information representing scenario information associated with the environment based at least in part on the set of schema-based encodings;

determining one or more attributes associated with the environment based at least in part on the generated information; and

determining instructions for navigating one or more vehicles in the environment based at least in part on the one or more attributes determined from the generated information that represents the scenario information associated with the environment, wherein the instructions modify operations associated with the one or more vehicles while navigating the environment.

15. The non-transitory computer-readable storage medium of claim 14 , wherein determining the one or more attributes further causes the system to perform:

determining a level of difficulty associated with the one or more vehicles navigating the environment.

16. The non-transitory computer-readable storage medium of claim 14 , wherein determining the one or more attributes further causes the system to perform:

determining a level of risk associated with the one or more vehicles navigating the environment.

17. The non-transitory computer-readable storage medium of claim 14 , wherein determining the one or more attributes further causes the system to perform:

determining routing instructions associated with the environment, the routing instructions providing instructions for routing the one or more vehicles in the environment;

determining a level of similarity between the environment and a second environment; and

associating the routing instructions with the second environment based at least in part on a threshold level of similarity between the environment and the second environment.