Probabilistic Rail Vehicle Localization With Eddy Current Sensors in Topological Maps

Hensel, Stefan; Hasberg, Carsten; Stiller, Christoph

doi:10.1109/tits.2011.2161291

Cited by 45 publications

(41 citation statements)

References 21 publications

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“…As a rough initial estimate is given by CLC, one can even optimize the necessary segment length to make the computation feasible. This could spread capabilities of the ECS system for additional low-speed use cases like turnout detection and classification, which were proposed in [25]. …”

Section: Resultsmentioning

confidence: 99%

Comparison of Time Warping Algorithms for Rail Vehicle Velocity Estimation in Low Speed Scenarios

Hensel

Marinov

2017

Metrology and Measurement Systems

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Precise measurement of rail vehicle velocities is an essential prerequisite for the implementation of modern train control systems and the improvement of transportation capacity and logistics. Novel eddy current sensor systems make it possible to estimate velocity by using cross-correlation techniques, which show a decline in precision in areas of high accelerations. This is due to signal distortions within the correlation interval. We propose to overcome these problems by employing algorithms from the field of dynamic programming. In this paper we evaluate the application of correlation optimized warping, an enhanced version of dynamic time warping algorithms, and compare it with the classical algorithm for estimating rail vehicle velocities in areas of high accelerations and decelerations.

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Section: Resultsmentioning

confidence: 99%

Comparison of Time Warping Algorithms for Rail Vehicle Velocity Estimation in Low Speed Scenarios

Hensel

Marinov

2017

Metrology and Measurement Systems

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“…Speech processing and message feature extraction have been used for detection of intent in traveller screening [4]. Henzel [6] describes the use of eddy current sensors to provide more precise location of trains for positive control. Parallel control for emergency response is presented in [6].…”

Section: International Journal For Research In Applied Science and Engimentioning

confidence: 99%

“…Henzel [6] describes the use of eddy current sensors to provide more precise location of trains for positive control. Parallel control for emergency response is presented in [6]. Meyers et al [7] describe risk assessment methods for evaluating the safety of PTC.…”

Section: International Journal For Research In Applied Science and Engimentioning

confidence: 99%

Analysing the Train Accident Injuries using Mining Techniques

Nireesha¹

2017

IJRASET

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Rail accidents describe a significant safety concern for the transportation industry in multiple countries. To better understand the contributors to these extreme accidents, the Federal Railroad Administration has established the railroads involved in accidents to submit reports that contain both fixed function entries and narratives that explain the characteristics of the accident. While a number of studies have noticed the fixed fields, nothing has done an extensive analysis of the narratives. This project describes the use of mining with a combination of techniques to automatically discover accident characteristics that can confess a better understanding of the contributors to the accidents. The results show that predictive accuracy for accident costs significantly improves on the use of features found by mining and predictive accuracy also improves through the use of modern ensemble methods. Importantly, this study furthermore shows through case examples how the findings from mining of the narratives can improve understanding of the contributors to rail accidents in ways not possible on only fixed field analysis of the accident reports.

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“…A wide range of applications of ITS, such as driver assistance, security distance warning, map location, location-based services (LBSs), traffic management, navigation and emergency calling systems (eCall), automatic parking and driverless vehicles, relies on accurate localization information to successfully accomplish their tasks [1]- [7]. Global navigation satellite systems (GNSS) suffer from multipath propagation rendering this solution not robust enough for some applications.…”

Section: Introductionmentioning

confidence: 99%

“…Global navigation satellite systems (GNSS) suffer from multipath propagation rendering this solution not robust enough for some applications. As a matter of fact a number of other localization techniques based on on-board sensors, such as odometry and inertial sensors, monocular/stereo cameras and active sensors Manuscript have been used to overcome GNSS limitations and reach precise localizations [1], [2]. For path constrained motion, the knowledge of significant information as visible lane marking, curbs, or other environmental infrastructures, assists localization about the evolution of the kinematic vehicle states [5], [8].…”

Section: Introductionmentioning

confidence: 99%

An Embedded Vision System for Real-Time Autonomous Localization Using Laser Profilometry

Patruno

Marani

Nitti

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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In this paper, we propose an embedded vision system based on laser profilometry able to get the pose of a vehicle and its relative displacements with reference to the constitutive media of a structured environment. Fundamental equations for laser triangulation are developed and encoded for their actual implementation on an embedded system. It is made of a laser source that projects a line-shaped beam onto the environment and an on-chip camera able to frame the laser light. Images are then sent to the inexpensive Raspberry Pi onboard computer, which is responsible for processing tasks. For the first time, laser profilometry is coupled with the correlation of laser signatures on a low-cost and low-resource processing board for vehicle localization purposes. Several validation tests of the proposed sensor have proven the effectiveness of the system with respect to commercially available sensors such as inductive sensors and standard odometers, which fail when the vehicle crosses path interceptions or its wheels undergo unavoidable slippages. Moreover, further comparisons with other vision-based techniques have also proven the good performances of this embedded system for real-time localization of vehicles.Index Terms-Visual odometry, image processing, laser profilometry, indoor autonomous vehicle navigation, real-time embedded systems. 1524-9050

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Probabilistic Rail Vehicle Localization With Eddy Current Sensors in Topological Maps

Cited by 45 publications

References 21 publications

Comparison of Time Warping Algorithms for Rail Vehicle Velocity Estimation in Low Speed Scenarios

Comparison of Time Warping Algorithms for Rail Vehicle Velocity Estimation in Low Speed Scenarios

Analysing the Train Accident Injuries using Mining Techniques

An Embedded Vision System for Real-Time Autonomous Localization Using Laser Profilometry

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