Workshop: Few-Shot Learning-Based High-speed Railway Catenary Image Detection and Analysis
Date＆Time：13:30 – 15:30, December 27, 2021 Location: Meeting Room 2
Intro: The catenary of high-speed railways provides electricity for EMU trains and plays a vital role in the operation of high-speed railways. Therefore, the railway department adopts a large number of inspection methods for the high-speed railway catenary, including manual inspection and track inspection. With the rapid development of UAV technology, UAV aerial photography has become a novel method of catenary inspection, and a large number of catenary pictures have been taken. To ensure the safe operation of high-speed railway and improve inspection efficiency, it is necessary to intelligently analyze the catenary pictures taken by the track inspection vehicle and the drone inspection. However, due to the fact that researchers have little knowledge of the industry and lack of sufficient samples, domestic and foreign research in this area is almost blank.
To promote the development of intelligent detection and analysis of high-speed railway catenary, a challenge termed ” Few-Shot Learning-Based High-speed Railway Catenary Image Detection and Analysis” is proposed. A part of the data collected on the high-speed railway is used for the challenge. This challenge aims to attract researchers in the field of image processing and intelligent transportation to solve small sample problems by technical advantages of image processing and expertise of intelligent transportation. This will provide a research foundation for the intelligent detection and analysis of the high-speed railway catenary, and promote the development of technical research and application levels in related fields.
The winner will receive an award certificate and a generous bonus, as well as a cooperating international journal paper.
Organizer
Department
State Key lab of Traffic Control and Safety
Key Laboratory of Railway Industry of Proactive Safety and Risk Control
Beijing Jiaotong University
Chairman
Professor Qin Yong, Professor Jia Limin
Members:
Xie Zhengyu, Ma Xiaoping, Wu Yunpeng, Cao Zhiwei, Cui Jing
Agenda
13:30-14:00
Title: Application of Image Processing in Rail Transit System
Speaker：Yong Qin
Institution:
State Key lab of Traffic Control and Safety
Key Laboratory of Railway Industry of Proactive Safety and Risk Control
Beijing Jiaotong University
14:00-15:20
Presentation of Winner
15:20-15:30
Prize-awarding Ceremony