Environmental monitoring using autonomous systems and artificial intelligence

At least one processor, comprising:

• one or more circuits to:
• in response to a machine performing one or more control operations:
• obtain data using one or more sensors communicatively coupled to the machine;
• and
• generate a tracking output based on the data using one or more artificial intelligence (AI) models, wherein the tracking output represents a feature of an environment of the machine.

A system comprising:

• one or more processors to perform operations comprising:
• performing one or more control operations using a machine;
• determining resource data of one or more of the machine or a computing system communicatively coupled to the machine while the machine is performing the one or more control operations;
• and
• in response to determining that the resource data satisfies a threshold with respect to performing the one or more control operations, processing using one or more artificial intelligence (AI) models and ancillary to the performing the one or more control operations, sensor data obtained using one or more sensors to identify one or more features of an environment of the machine,
• wherein the one or more control operations include one or more of:
• route planning, navigation, perception, localization, actuation, or communication,
• wherein the resource data includes one or more of:
• power level, battery level, fuel level, engine temperature, tire pressure, oil level, brake fluid level, available memory, disk space, network bandwidth, temperature, or system load average, and
• wherein the one or more features of the environment include one or more of:
• pollution, light, graffiti, litter, plants, wildlife, bodies of water, fires, atmospheric conditions, people, or vehicles.