Geographic Risk Visualization for Unmanned Traffic Management

Risk evaluation is a crucial aspect of Unmanned Traffic Management (UTM) systems. Risk is calculated for missions involving unmanned systems and includes numerous factors from both ground and air risks. Currently, the risk evaluation and calculation for a mission is done by hand and based on estimations. Furthermore, the final calculated risk for a mission is difficult to conceptualize due to the high complexity of the UTM system and the method of risk calculation. This project aims to develop a system to aid in the conceptualization by providing aggregated data used for risk analysis and visualization techniques of the data and risks through software. Accomplishing this will involve collecting data used in risk analysis, analyzing the data for relevant information, and developing visualizations for the data. This project will benefit the partner organization in becoming an industry leader in Detect and Avoid and UTM systems.

Faculty Supervisor:

Faramarz Samavati

Student:

Mohammad Hameed

Partner:

Canadian UAVs

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Calgary