Laser-Based Obstacle Detection at Railway Level Crossings

Amaral, V. S.; Marques, Francisco; Lourenço, André; Barata, José; Santana, Pedro

doi:10.1155/2016/1719230

Cited by 21 publications

(12 citation statements)

References 14 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If electrical waves are passed between the transmitter and emitter, the working principle is the same but it would not be able to detect any pedestrian. 11,12 Another technique for obstacle detection mentioned in literature 21 is laser scanner for application in a Level Crossing area, which relies on the "the use of dense 3Dpoint clouds produced by a tilting 2D laser scanner". This system would not be dependent on light conditions and object appearance as it is relying on binocular vision.…”

Section: Obstacle Detection Sensorsmentioning

confidence: 99%

A review of the technological developments for interlocking at level crossing

Fayyaz

Alexoulis-Chrysovergis

Southgate

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part F:

View full text Add to dashboard Cite

A Level Crossing remains as one of the highest risk assets within the railway system often depending on the unpredictable behaviour of road and footpath users. For this purpose, interlocking through automated safety systems remains a key area for investigation. Within Europe, 2015–2016, 469 accidents at crossings were recorded of which 288 lead to fatalities and 264 lead to injuries. The European Union’s Agency for Railways has reported that Level Crossing fatalities account for just under 28% of all railway fatalities. This paper identifies suitable obstacle detection technologies and their associated algorithms that can be used to support risk reduction and management of Level Crossings. Furthermore, assessment and decision methods are presented to support their application. Finally state of the art and synergistic opportunity of which a combination of obstacle detection sensors with intelligent decisions layers such as Deep Learning are discussed which can provide robust interlocking decisions for rail applications. The sensor fusion of video camera and RADAR is a promising solution for Level Crossings. By applying additional sensing techniques such as RADAR imaging, further capabilities are added to the system, which can lead to a more robust approach.

show abstract

Section: Obstacle Detection Sensorsmentioning

confidence: 99%

A review of the technological developments for interlocking at level crossing

Fayyaz

Alexoulis-Chrysovergis

Southgate

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part F:

View full text Add to dashboard Cite

show abstract

“…RLCs are critical points with a high number of accidents per year due to the intersection of rail and road infrastructure, and improving their safety is of key importance globally [ 5 , 7 , 15 , 16 , 17 ]. Together with tunnels and specific road black spots, railway level crossings have been identified as a particularly weak point in road infrastructure which seriously threatens road safety [ 18 , 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

“…Amaral et al [ 21 ] studied laser-based obstacle detection at railway level crossings. They noted that detecting small obstacles (e.g., rocks ≈10 dm 3 ) on an RLC is an open problem.…”

Section: Introductionmentioning

confidence: 99%

An Innovative Approach to Surveying the Geometry of Visibility Triangles at Railway Level Crossings

Kampczyk

2020

Sensors

View full text Add to dashboard Cite

Railway level crossings (RLCs) in Poland are classified according to their protection systems. Category D, which is a form of passive RLC, aims to ensure safe and efficient operation. Surveying is essential to prepare and control the geometry of the visibility triangles used at RLCs. This article presents a new approach to monitoring the geometry of visibility triangles of RLCs using an electronic total station and a magnetic measuring square (MMS). Its main assumptions are presented together with the application of the innovative measuring instruments. Visibility is demonstrated taking into account the angles of intersection of the road axis with the track axis of the railway line and additional attributes related to the analysis and evaluation of general visibility conditions. The research highlights controversies that have received special attention against the background of the safety status of railway level crossings. As a case study, the RLC located on a single-track railway line in Poland is examined. The final section presents applications of the results obtained according to the proposed methodology. It is shown that the proposed approach is practical and effective. In addition to surveyors, the survey methodology can be used by road and rail traffic engineers and policy makers to further improve traffic safety at RLCs. This is an important global research task.

show abstract

“…A simple way is to check the socalled "clear path" of a signal between emitter and receiver, where foreign object partially or entirely interrupts the transmission. Advanced systems are using 2D [4] or even 3D [5] images of the level crossing using the static or tilting scanners. These systems provide information about the presence of even small objects at the area of interest.…”

Section: Introductionmentioning

confidence: 99%

Fiber interferometric system for vehicle monitoring near railway level crossings

Kepák¹,

Čubík²,

Hruby³

et al. 2019

Proceedings of the 4th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'19)

View full text Add to dashboard Cite

The article describes the development of the vehicle monitoring system that is applicable in the vicinity of the railway level crossings. The proposed system is based on a Mach-Zehnder fiber interferometer sensor, which has a measurement arm embedded in the road surface. The sensor is passive and requires no electrical power at the installation site, immune electromagnetic interference, and is compatible with existing single-mode fiber infrastructure. Experimental measurements were focused on the response of sensors utilizing different mechanical structures of fiber loops, slow-moving vehicles, and sensor function in continuous snow cover. Installed optical fibers in the roadway are regularly monitored and evaluated for their durability. The results have shown that it is possible to detect individual vehicles but above all their axles, which opens the way for vehicle classification. The detection capability of the system is absolute even with continuous snow cover. For slow-moving vehicles, double axle detection occurred due to the longitudinal dimensions of the loop, which will be solved by the second generation of sensors. The resulting system will be installed on a selected railroad crossing as a complement to the existing camera system.

show abstract

Laser-Based Obstacle Detection at Railway Level Crossings

Cited by 21 publications

References 14 publications

A review of the technological developments for interlocking at level crossing

A review of the technological developments for interlocking at level crossing

An Innovative Approach to Surveying the Geometry of Visibility Triangles at Railway Level Crossings

Fiber interferometric system for vehicle monitoring near railway level crossings

Contact Info

Product

Resources

About