Parking Location Prediction

A computing system, comprising:

• one or more processors programmed or configured to:
• receive a plurality of feature maps, wherein each feature map of the plurality of feature maps comprises a plurality of elements of a matrix, wherein each element of the matrix comprises feature map data, wherein the feature map data is associated with one or more features of a road;
• process the feature map data associated with the plurality of feature maps to produce artificial neuron data associated with a plurality of artificial neurons of a plurality of convolution layers;
• generate a prediction score for one or more elements of the matrix of each feature map of the plurality of feature maps based on the artificial neuron data, wherein the prediction score comprises a prediction of whether an element of a feature map comprises a parking location;
• determine whether one or more elements of the matrix of each feature map of the plurality of feature maps comprises the parking location based on the prediction score of the one or more elements of the matrix of each feature map;
• and
• output map data associated with a map based on determining that the one or more elements of the matrix of each feature map comprises the parking location.

An autonomous vehicle, comprising:

• one or more sensors for detecting an object in an environment surrounding the autonomous vehicle;
• and
• a vehicle computing system comprising one or more processors, wherein the vehicle computing system is programmed or configured to:
• receive autonomous vehicle (AV) map data associated with an AV map including one or more roads, the AV map including one or more prediction scores associated with one or more areas of the AV map, wherein the AV map data is determined based on:
• receiving feature map data associated with a feature map, wherein the feature map comprises a plurality of elements of a matrix, wherein each element of the matrix comprises the feature map data, wherein the feature map data is associated with one or more features of a road,
• processing the feature map data to produce artificial neuron data associated with one or more artificial neurons of one or more convolution layers,
• generating a prediction score for each element of the feature map based on the artificial neuron data, wherein the one or more prediction scores are associated with a prediction of whether each element of the feature map comprises a parking location, and
• determining the AV map data based on generating the one or more prediction scores for each element of the feature map;
• and
• control travel of the autonomous vehicle based on sensor data from the one or more sensors and the AV map data associated with the AV map.