Simulation of cloud data for machine learning training

A non-transitory computer-readable medium readable by at least one processor comprises instructions to configure the at least one processor to perform a method, the method comprising:

• simulating an environment including at least one simulated object, a simulated ray source, and a simulated receiver, wherein simulating a plurality of rays emitting from the simulated ray source within the environment comprises:
• retrieving a range of directions and a range of wavelengths from the simulated ray source, the range of directions being a property of the simulated ray source, the range of wavelengths being a property of the simulated ray source;
• determining a particular direction for each ray of the plurality of rays randomly from the range of directions;
• determining a particular wavelength for each ray of the plurality of rays randomly from the range of wavelengths;
• emitting each of the plurality of rays from the particular direction of the simulated ray source in the environment;
• and
• emitting each of the plurality of rays at the particular wavelength from the simulated ray source in the environment;
• simulating a plurality of rays emitting from the simulated ray source within the environment;
• tracking each ray of the plurality of rays in the environment;
• detecting changes for at least one ray that interacts with the at least one simulated object, the changes for the at least one ray including a reflection of at least part of the ray from the at least one object;
• tracking the reflection of the at least part of the ray from the at least one object in the environment;
• determining measurements for any of the plurality of rays that interact with the simulated receiver in the simulation, the at least part of the ray being received by the receiver, the measurements including intensity for any of the plurality of rays that interact with the receiver;
• and
• generating synthetic point cloud data based on the measurements.

A non-transitory computer-readable medium by at least one processor comprising instructions to configure the at least one processor to perform a method, the method comprising:

• simulating an environment including at least one simulated object, a simulated ray source, and a simulated receiver, wherein simulating a plurality of rays emitting from the simulated ray source within the environment comprises:
• retrieving a range of directions and a range of energy from the simulated ray source, the range of directions being a property of the simulated ray source, the range of energy being a property of the simulated ray source;
• determining a particular direction for each ray of the plurality of rays randomly from the range of directions;
• determining a particular energy for each ray of the plurality of rays randomly from the range of energy;
• emitting each of the plurality of rays from the particular direction of the simulated ray source in the environment;
• and
• emitting each of the plurality of rays at the particular energy from the simulated ray source in the environment;
• simulating a plurality of rays emitting from the simulated ray source within the environment;
• tracking each ray of the plurality of rays in the environment;
• detecting changes for at least one ray that interacts with the at least one simulated object, the changes for the at least one ray including a reflection of at least part of the ray from the at least one object;
• tracking the reflection of the at least part of the ray from the at least one object in the environment;
• determining measurements for any of the plurality of rays that interact with the simulated receiver in the simulation, the at least part of the ray being received by the receiver, the measurements including intensity for any of the plurality of rays that interact with the receiver;
• and
• generating synthetic point cloud data based on the measurements.