Systems and methods for determining predicted risk for a flight path of an unmanned aerial vehicle

A system for determining predicted risk for a flight path of an unmanned aerial vehicle, the system comprising:

• one or more physical processors configured by machine readable instructions to:
• obtain a previously stored three-dimensional representation of a user-selected location, the three-dimensional representation being derived from depth maps of the user-selected location generated during previous unmanned aerial flights, the three-dimensional representation reflecting a presence of objects and object existence accuracies for each individual objects, the object existence accuracies providing information about accuracy of existence of each individual object within the user-selected location;
• obtain a user-created flight path for a future unmanned aerial flight within the three-dimensional representation of the user-selected location;
• and
• determine predicted risk for individual portions of the user-created flight path based upon the three-dimensional representation of the user-selected location and based upon risk parameters by determining a risk confidence score for each individual object, each risk confidence score representing a likelihood of the unmanned aerial vehicle to collide with each corresponding individual object within the three-dimensional representation of the user-selected location, the risk parameters including the object existence accuracies, a distance between the unmanned aerial vehicle along the individual portions of the user-created flight path and each individual object within the three-dimensional representation, and previous collision records of previous unmanned aerial vehicles colliding with an object within the user selected location.