Work

Cost-Efficient and Effective Counter Unmanned Aerial System via Visual-Acoustic Sensing

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Robotic Computing (IRC)

DOI: 10.1109/irc63610.2024.00011

Authors: Changyeon Lee, Dongju Yu, Soyeon Cho, Dane W. Hindsley, Halaevalu F. Patterson, Megan A. Clecak, Eric T. Matson

Institutions: Yonsei University, Kunsan National University, Kyung Hee University, Purdue University West Lafayette

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Purdue University

OpenAlex ID: W4405935420

FWCI:

Cites: 22

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Related to: 10