Virtual sensor data generation for wheel stop detection

A system comprising:

• an environment component configured to simulate, using one or more processors, a three-dimensional (3D) environment comprising one or more virtual parking barriers;
• a virtual sensor component configured to generate, using the one or more processors, virtual sensor data for a plurality of positions of one or more sensors within the 3D environment;
• a ground truth component configured to determine virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth comprises a height of the at least one of the virtual parking barriers;
• and
• a model component configured to provide the virtual perception data and the ground truth to a machine learning model or algorithm to train or test the machine learning model or algorithm using the one or more processors.

Non-transitory computer readable storage media storing instructions that, when executed by one or more processors, cause the one or more processors to:

• generate virtual sensor data for a plurality of sensor positions within a simulated three-dimensional (3D) environment comprising one or more virtual parking barriers;
• determine one or more simulated conditions for each of the plurality of positions, wherein the simulated conditions comprise one or more of a height of the at least one of the virtual parking barriers and a position of the virtual parking barriers in relation to a virtual sensor;
• and
• store and annotate the virtual sensor data with the simulated conditions.