Situational NMAC risk assessment using conditional random field for UAV tiered aerial passage operations

• Main Authors: Zhang, Na, Zhang, Bin, Shi, Xiupeng
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Aerial passage; Conditional random field; Gaussian kernel function; Near mid-air collision; Risk assessment
• Online Access: https://hdl.handle.net/10356/180914
• Institution: Nanyang Technological University

Complex urban unmanned aerial vehicle (UAV) operations necessitate near mid-air collision (NMAC) risk assessment to ensure safety. In this work, a novel situational NMAC risk assessment approach is developed by integrating the conditional random field (CRF) algorithm with safety metrics and conflict...