New generation of multirobot systems

Trivedi, M.M.; Ng, Kim C.; Lassiter, Nils Terrell; Capella, Richard

doi:10.1109/icsmc.1998.726519

Cited by 11 publications

(8 citation statements)

References 4 publications

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“…Proper planning and maintenance of tracks reduces the cost and observing proper schedule of trains. Some systems like a multi robot used to detect loosening of bolts in sleepers and feeding and fastening fastener assembly [2]. There is system developed to achieve real-time profile analysis of status of track [3].…”

Section: Literature Surveymentioning

confidence: 99%

Effective and efficient landslide detection system to monitor Konkan railway tracks

Chavan¹,

Pangotra²,

Nair³

et al. 2015

2015 International Conference on Technologies for Sustainable Development (ICTSD)

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Man has been developing various methods to protect himself from natural calamities since ages. The only scientific solution to natural calamities is development of systems to predict, detect and take preventive measures using recent advancement in technology. Along the highly landslide prone Konkan railway line, many people have lost their lives due to landslides. It is now high time to replace the present obsolete manual detection systems deployed along this line. In this paper, a highly accurate, effective and efficient landslide detection system has been proposed which can be used along the Konkan railway line to monitor tracks for landslide using image processing. The coding has been done using MATLAB and a low resolution webcam was used for acquiring sample video frames. Various techniques like Hamming distance, Entropy, Euclidean Distance, Correlation, Block processing etc. were used for event detection. The proposed technique gave a threshold margin of 80.24% and the average efficiency of the system was found to be 86.67% for the considered set of images. Using proposed technique, False Acceptance Ratio (FAR) of 0.067 and False Rejection Ratio (FRR) of 0.933 were achieved.

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Section: Literature Surveymentioning

confidence: 99%

Effective and efficient landslide detection system to monitor Konkan railway tracks

Chavan¹,

Pangotra²,

Nair³

et al. 2015

2015 International Conference on Technologies for Sustainable Development (ICTSD)

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“…Instead of creating one massive robot to perform all tasks, researchers have taken a different approach and created a multi-robotic system, where the individual robot will focus on a simplified task. According to Trivedi et al, the system is technically and economically viable [54]. Further, Rowshandel et al have proposed an integrated robotic system for the detection and characterization of rolling contact fatigue cracks in rails.…”

Section: Ras In Track Maintenancementioning

confidence: 99%

Importance and Applications of Robotic and Autonomous Systems (RAS) in Railway Maintenance Sector: A Review

2019

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Maintenance, which is critical for safe, reliable, quality, and cost-effective service, plays a dominant role in the railway industry. Therefore, this paper examines the importance and applications of Robotic and Autonomous Systems (RAS) in railway maintenance. More than 70 research publications, which are either in practice or under investigation describing RAS developments in the railway maintenance, are analysed. It has been found that the majority of RAS developed are for rolling-stock maintenance, followed by railway track maintenance. Further, it has been found that there is growing interest and demand for robotics and autonomous systems in the railway maintenance sector, which is largely due to the increased competition, rapid expansion and ever-increasing expenses.

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“…An approach based on genetic techniques was proposed to plan the maintenance of railway tracks [1]. A multirobot system was realized to perform simple automatic maintenance actions on tracks (e.g., detecting and loosening of bolts in sleepers, and feeding and fastening fastener assembly) [2].…”

Section: Introductionmentioning

confidence: 99%

Composite real-time image processing for railways track profile measurement

Alippi

Casagrande

Scotti

et al. 2000

IEEE Trans. Instrum. Meas.

108

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Checking railway status is critical to guarantee high operating safety, proper maintenance schedule, and low maintenance and operating costs. This operation consists of the analysis of the rail profile and level as well as overall geometry and ondulation. Traditional detection systems are based on mechanical devices in contact with the track. Innovative approaches are based on laser scanning and image analysis. This paper presents an efficient composite technique for track profile extraction with real-time image processing. High throughput is obtained by algorithmic prefiltering to restrict the image area containing the track profile, while high accuracy is achieved by neural reconstruction of the profile itself.

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New generation of multirobot systems

Cited by 11 publications

References 4 publications

Effective and efficient landslide detection system to monitor Konkan railway tracks

Effective and efficient landslide detection system to monitor Konkan railway tracks

Importance and Applications of Robotic and Autonomous Systems (RAS) in Railway Maintenance Sector: A Review

Composite real-time image processing for railways track profile measurement

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