Visual extensions and anomaly detection in the pNEUMA experiment with a swarm of drones

• Published in: Transportation research. Part C, Emerging technologies Vol. 147; p. 103966
• Main Authors: Kim, Sohyeong, Anagnostopoulos, Georg, Barmpounakis, Emmanouil, Geroliminis, Nikolas
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2023
• Subjects: Functional data analysis; Image processing; Signal Processing; Traffic anomaly detection; Traffic density estimation; Urban traffic dataset; Image processing; Urban traffic dataset; Traffic anomaly detection; Functional data analysis; Traffic density estimation; Signal Processing

The usage of Unmanned Aerial Systems (UAS) in traffic monitoring has advantages such as broader vision, flexibility, privacy, and cost-efficiency compared to other traffic monitoring sensors like loop detectors or fixed surveillance cameras. UAS has been instrumental in the recent pNEUMA experiment,...