This paper provides a review of the literature on vision-based on-board obstacle detection
and distance estimation in railways. Environment perception is crucial for autonomous …

In order to ensure the safety of railway transportation, it is necessary to regularly check for
faults and defects in the railway system. Visual inspection technology is conducive to …

Railway shunting accidents, in which trains collide with obstacles, often occur because of
human error or fatigue. It is therefore necessary to detect traffic objects in front of the trains …

Thousands of miles of railroad track must be inspected twice weekly by a human inspector to
maintain safety standards. A computer vision system, consisting of field-acquired video and …

Future trains will use more computer vision aids to help achieve fully autonomous driving.
One of the most important parts of the train's visual function is the detection of railroad …

The demand for automated railway tracks extraction is driven by the importance of
maintaining and updating the fundamental geographic data of railway tracks for railway …

Computer vision can provide many potential advantages over manual methods of railway
track inspection. Great levels of performance can be achieved through the automation of …

In this paper, we describe the automatic extraction of centerlines of railroads. Mobile Laser
Scanning systems are able to capture the 3D environment of the rail tracks with a high level …

The paper presents the results of testing a proposed image-based point clouds measuring
method for geometric parameters determination of a railway track. The study was performed …

Railroads companies conduct regular inspections of their tracks to maintain and update the
geographic data for railway management. Traditional railroad inspection methods, such as …