Resource prioritization based on travel path relevance

One or more computer-readable non-transitory storage media embodying software that is operable when executed to cause one or more processors to perform operations comprising:

• accessing sensor data associated with an environment of a vehicle;
• identifying agents in the environment based on the sensor data;
• determining a probability distribution indicative of whether a preliminary trajectory of each of the agents intersects a potential travel space of the vehicle;
• generating a prioritization of the agents based on the probability distribution;
• allocating an amount of computing resources of the vehicle for analyzing each of one or more of the agents based on the prioritization and characteristics of the respective one or more agents;
• predicting a trajectory of one or more of the agents according to the allocated computing resources, wherein an accuracy of the prediction is proportional to the amount of allocated computing resources;
• and
• determining, based on the analysis of the agents, one or more operations for the vehicle to perform.

A computing system comprising:

• one or more processors;
• and
• one or more computer-readable non-transitory storage media coupled to one or more of the processors, the one or more computer-readable non-transitory storage media comprising instructions operable when executed by one or more of the processors to cause the computing system to perform operations comprising:
• accessing sensor data associated with an environment of a vehicle;
• identifying agents in the environment based on the sensor data;
• determining a probability distribution indicative of whether a preliminary trajectory of each of the agents intersects a potential travel space of the vehicle;
• generating a prioritization of the agents based on the probability distribution;
• allocating an amount of computing resources of the vehicle for analyzing each of one or more of the agents based on the prioritization and characteristics of the respective one or more agents;
• predicting a trajectory of one or more of the agents according to the allocated computing resources, wherein an accuracy of the prediction is proportional to the amount of allocated computing resources;
• and
• determining, based on the analysis of the agents, one or more operations for the vehicle to perform.