Work

Anomaly Detection for Vision-Based Railway Inspection

Year: 2020

Type: conference-paper

Source: Communications in computer and information science

DOI: 10.1007/978-3-030-58462-7_5

Authors: Riccardo Gasparini, Stefano Pini, Guido Borghi, Giuseppe Scaglione, Simone Calderara, Eugenio Fedeli, Rita Cucchiara

Institutions: University of Modena and Reggio Emilia, Trenitalia (Italy)

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W3082277274

FWCI: 7.452

Cites: 34

Cited by: 20

Related to: 10