Technologies for managing a world model of a monitored area

A method for managing a world map of a monitored area, the method comprising:

• receiving, by a roadway server located at the monitored area, Light Detection and Ranging (LIDAR) sensing data from a LIDAR sensing system positioned to monitor the monitored area and vehicle sensing data from a first automated vehicle of a plurality of automated vehicles, the vehicle sensing data being indicative of objects located in the monitored area and sensed by the first automated vehicle using at least one sensor of the first automated vehicle;
• generating, by the roadway server, a world model of the monitored area based on the LIDAR sensing data and the vehicle sensing data, wherein the world model describes objects located in the monitored area, wherein generating the world model comprises applying a first weight to the LIDAR sensing data, applying a second weight to the vehicle sensing data, and aggregating the LIDAR sensing data and the vehicle sensing data based on the first and second weights;
• and
• transmitting, by the roadway server, the world model to a plurality of automated vehicles to facilitate navigation of the automated vehicles in the monitored area.

One or more non-transitory machine-readable storage media comprising a plurality of instructions stored thereon that, when executed, cause a roadway server located at a monitored area to:

• access Light Detection and Ranging (LIDAR) sensing data received from a LIDAR sensing system positioned to monitor the monitored area;
• access vehicle sensing data received from a first automated vehicle of a plurality of automated vehicles, the vehicle sensing data being indicative of objects located in the monitored area and sensed by the first automated vehicle using at least one sensor of the first automated vehicle;
• generate a world model of the monitored area based on the LIDAR sensing data and the vehicle sensing data, wherein the world model identifies objects located in the monitored area, wherein generating the world model comprises applying a first weight to the LIDAR sensing data, applying a second weight to the vehicle sensing data, and aggregating the LIDAR sensing data and the vehicle sensing data based on the first and second weights;
• and
• transmit the world model to a plurality of automated vehicles to facilitate navigation of the automated vehicles in the monitored area.