Detection of bird nests in overhead catenary system images for high-speed rail

• Main Authors: WU, Xiao, YUAN, Ping, PENG, Qiang, NGO, Chong-wah, HE, Jun-Yan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Bird nest detection; Image classification; Overhead catenary system; High-speed rail; Intelligent transportation system; Artificial Intelligence and Robotics; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/6309; https://ink.library.smu.edu.sg/context/sis_research/article/7312/viewcontent/1_s2.0_S0031320315003416_main.pdf
• Institution: Singapore Management University

The high-speed rail system provides a fast, reliable and comfortable means to transport large number of travelers over long distances. The existence of bird nests in overhead catenary system (OCS) can hazard to the safety of the high-speed rails, which will potentially result in long time delays and...