Detecting Rails and Obstacles Using a Train-Mounted Thermal Camera
2015 (English)In: Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings / [ed] Rasmus R. Paulsen; Kim S. Pedersen, Springer, 2015, 492-503 p.Conference paper (Refereed)
We propose a method for detecting obstacles on the railway in front of a moving train using a monocular thermal camera. The problem is motivated by the large number of collisions between trains and various obstacles, resulting in reduced safety and high costs. The proposed method includes a novel way of detecting the rails in the imagery, as well as a way to detect anomalies on the railway. While the problem at a first glance looks similar to road and lane detection, which in the past has been a popular research topic, a closer look reveals that the problem at hand is previously unaddressed. As a consequence, relevant datasets are missing as well, and thus our contribution is two-fold: We propose an approach to the novel problem of obstacle detection on railways and we describe the acquisition of a novel data set.
Place, publisher, year, edition, pages
Springer, 2015. 492-503 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 9127
Thermal imaging; Computer vision; Train safety; Railway detection; Anomaly detection; Obstacle detection
IdentifiersURN: urn:nbn:se:liu:diva-119507DOI: 10.1007/978-3-319-19665-7_42ISBN: 978-3-319-19664-0 (print)ISBN: 978-3-319-19665-7 (online)OAI: oai:DiVA.org:liu-119507DiVA: diva2:824491
19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015