Design of safety equipment for railroad level crossings using laser range finder

Kim, Gonyop; Baek, Jong-Hyun; Jo, HyunBin; Lee, Kang-Mi; Lee, Jae-Ho

doi:10.1109/fskd.2012.6234334

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…As a consequence, it allows for gaining some of the advantages of both configurations and mitigating their drawbacks. Indeed, it overcomes the limitations of optical based systems [9], [10] and, at the same time, offers good obstacle detection and localization performance inside the LC as it will be shown in Sec. III-D.…”

Section: B the Partial Multi-static Uwb Fosmentioning

confidence: 88%

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Ultra-wide bandwidth systems for the surveillance of railway crossing Areas

et al. 2015

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Level crossings are critical elements of railway networks where a large number of accidents take place every year. With the recent enforcement of new and higher-safety standards for railway transportation systems, dedicated and reliable technologies for level crossing surveillance must be introduced in order to comply with the safety requirements. In this survey the worldwide problem of level crossing surveillance is addressed, with particular attention to the recent European safety regulations. In this context, the capability of detecting, localizing and discriminating the vehicle/obstacle that might be entrapped in a level crossing area is considered of paramount importance to save lives and, at the same time, to avoid costly false alarms. In this paper the main solutions available today are illustrated and their pros and cons discussed. In particular, the recent ultra-wide bandwidth technology, combined with proper signal processing and backhauling over the already deployed optical fiber backbone, is shown to represent a promising solution for safety improvement in level crossings.

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Section: B the Partial Multi-static Uwb Fosmentioning

confidence: 88%

“…Objects detection and 3D image reconstruction are based on the time-of-flight (TOF) of the electromagnetic wave. In [9], environment scanning is performed through a single-head 3D laser range finder which is tilted to create a 3D image of the scene, as shown in Fig. 1c.…”

Section: B Surveillance Systems State Of the Artmentioning

confidence: 99%

Ultra-wide bandwidth systems for the surveillance of railway crossing Areas

et al. 2015

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“…The affectability of the laser system is reduced in adverse weather condition and since it requires multiple laser systems to cover the entire region of a Level Crossing the maintenance cost is high. In literature 22 the use of “Single Laser Rangefinders” is proposed, where the emitter and receiver are in one unit. Such systems are less complex but are unable to section areas of Level Crossing.…”

Section: Measurement Methodsmentioning

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:

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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.

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“…Researchers [13][14][15] have utilized various radar systems for detecting vehicles at the crossing boundaries. Kim [16] and Silar [17] proposed different types of optical devices to detect crossing railway obstacles. Oorni [18] proposed an alarm system using a global positioning system to detect railway objects.…”

Section: Related Workmentioning

confidence: 99%

Autonomous Railway Traffic Object Detection Using Feature-Enhanced Single-Shot Detector

2020

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With the high growth rates of railway transportation, it is extremely important to detect railway obstacles ahead of the train to ensure safety. Manual and traditional feature-extraction methods have been utilized in this scenario. There are also deep learning-based railway object detection approaches. However, in the case of a complex railway scene, these object detection approaches are either inefficient or have insufficient accuracy, particularly for small objects. To address this issue, we propose a feature-enhanced single-shot detector (FE-SSD). The proposed method inherits a prior detection module of RON [1] and a feature transfer block of FB-Net [2]. It also employs a novel receptive field-enhancement module. Through the integration of these three modules, the feature discrimination and robustness are significantly enhanced. Experimental results for a railway traffic dataset built by our team indicated that the proposed approach is superior to other SSD-derived models, particularly for small-object detection, while achieving real-time performance close to that of the SSD. The proposed method achieved a mean average precision of 0.895 and a frame rate of 38 frames per second on a railway traffic dataset with an input size of 320 × 320 pixels. The experimental results indicate that the proposed method can be used for real-world railway object detection.INDEX TERMS feature transfer block, prior detection module, railway object detection, receptive fieldenhancement module.I.

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Design of safety equipment for railroad level crossings using laser range finder

Cited by 5 publications

References 5 publications

Ultra-wide bandwidth systems for the surveillance of railway crossing Areas

Ultra-wide bandwidth systems for the surveillance of railway crossing Areas

A review of the technological developments for interlocking at level crossing

Autonomous Railway Traffic Object Detection Using Feature-Enhanced Single-Shot Detector

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