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Modern Condition Monitoring Systems for Railway Wheel set Dynamics: Performance Analysis and Limitations of Existing Techniques
2022
Sir Syed Research Journal of Engineering & Technology
The core element of a CMS is the use of suitable algorithms to evaluate system behavior for achieving a solution to avoid accidents involving railway vehicles. ...
CMS for railway vehicles involves techniques including model-based and signal-based techniques for the detection of faults which assists preventing the system from any major failure. ...
In the above analysis, model-based CMS techniques using discrete Kalman filter or simple KF, Bucy-Kalman filter (the continuous-time counterpart of Kalman filter), EKF (an extended form of Kalman filter ...
doi:10.33317/ssurj.419
fatcat:3l4jcshcwbawnoeflyo4kb5qgu
Vehicle Tracking Using Video Surveillance
[chapter]
2020
Intelligent System and Computing
Using computer vision and deep learning algorithms, the project deals with the concept of vehicle tracking in real-time based on continuous video stream from a CCTV camera to track the vehicles. ...
By implementing and improving the ideas of Deep SORT tracking for better occlusion handling, a better tracking system suitable for real-time vehicle tracking is presented. ...
Acknowledgements This work is carried out at Internet of Things (IoT) Lab, Industrial Systems Engineering Department, Asian Institute of Technology, Thailand.
17 Vehicle Tracking Using Video Surveillance ...
doi:10.5772/intechopen.89405
fatcat:f37xnqq5kbgihmabiqr7xlq6jq
Vehicle State Estimation Based on Strong Tracking Central Different Kalman Filter
2021
Mathematical Problems in Engineering
central different Kalman filter (CDKF). ...
Based on the purpose, a 3-DOF nonlinear vehicle dynamics model containing constant noise and a nonlinear tire model were established, and several vehicle key states were estimated by a strong tracking ...
In research on algorithms of vehicle driving state parameter estimation, most algorithms use Kalman filtering to estimate vehicle states. e advantage of Kalman filtering is that it can solve the linear ...
doi:10.1155/2021/4126961
fatcat:rqoqm2xaqveq7clc7hxnmwjfrm
Fluid-inspired field representation for risk assessment in road scenes
2020
Computational Visual Media
It proves a promising approach for collision risk assessment in road scenes. ...
Objects' state spaces are used as the boundary conditions in the simulation of advection and diffusion processes. ...
Then, the Kalman filter was adopted to track multiple objects and corrected trajectories were used to assess collision risk based on the fluid model. ...
doi:10.1007/s41095-020-0190-8
fatcat:gnmdjhlk35dhtpelhvjskqkm2q
Tire Road Friction Coefficient Estimation: Review and Research Perspectives
2022
Chinese Journal of Mechanical Engineering
AbstractMany surveys on vehicle traffic safety have shown that the tire road friction coefficient (TRFC) is correlated with the probability of an accident. ...
These methods are divided into three main categories: off-board sensors-based, vehicle dynamics-based, and data-driven-based methods. ...
model inversion [73] 18 Single-track vehicle model High-order sliding mode differentiator. [89] 19 Single-track vehicle model Unscented Kalman filter [83]
Table 3 3 Summary of estimation methods based ...
doi:10.1186/s10033-021-00675-z
fatcat:3zxr5ezxy5djrp6pehoobropxm
Lane Departure Prediction Based on Closed-Loop Vehicle Dynamics
[article]
2022
arXiv
pre-print
We use extended Kalman filter to estimate the current vehicle states based on sensing module outputs. ...
Then a Kalman Predictor with actual lane keeping control law is used to predict steering actions and vehicle states in the future. ...
Acknowledgements The authors appreciated Anfei Zha for his help in carrying out the real vehicle experiments, and Linhui Chen for his help in preparing the video abstract. ...
arXiv:2112.10379v2
fatcat:nw4jbapztfayjp4yjb46jv6c2i
Travel Time Estimation and Prediction using Mobile Phones: A Cost Effective Method for Developing Countries
2014
Civil Engineering Dimension
Personnel were employed in public transit vehicles with mobile phones and these mobile phones were tracked continuously. ...
This project examines the use of mobile phones for travel time prediction of public transit vehicles and develops a dynamic travel time prediction model. ...
It uses online mapping facilities to track the vehicles and it can also track different vehicles simultaneously. ...
doi:10.9744/ced.16.1.33-39
fatcat:4yq6brc3e5dqfctwh54bdsfqd4
Context-Aware Misbehavior Detection Scheme for Vehicular Ad Hoc Networks using Sequential Analysis of the Temporal and Spatial Correlation of the Cooperative Awareness Messages
[article]
2019
arXiv
pre-print
Firstly, the Kalman filter algorithm is used to track the mobility information received from neighboring vehicles. ...
Then, the innovation errors of the Kalman filter are utilized to construct a temporal consistency assessment model for each vehicle using Box-plot. ...
Kalman Filter to track the messages of all neighbouring vehicles. ...
arXiv:1904.01392v1
fatcat:dqtd4mn6rvhjne7r3hx7mqruoy
Data Fusion for ITS: Techniques and Research Needs
2016
Transportation Research Procedia
Data fusion techniques applied to date include Bayesian inference, Dempster-Shafer evidential reasoning, artificial neural networks, fuzzy logic, and Kalman filtering. ...
sensors, and in the future, connected vehicles enable multisource data fusion to be exploited to produce an enhanced interpretation of the monitored or observed situation. ...
Cremer and Schrieber (1996) studied the integration of in-vehicle information and loop detector data using the extended Kalman filter. ...
doi:10.1016/j.trpro.2016.06.042
fatcat:eyw3hlcnn5c3fnlig2i5gvsshe
Vision-Based Approaches of the Small Satellites Relative Navigation
2021
WSEAS Transactions on Computer Research
Advancements dependent on this technique are utilized separately or joined with oneanother to deal with relative position issues. ...
Various strategies and approaches exist andneed distinctive assessment and advanced algorithms for variation, control, and sensor combination. ...
In a sensor-fusion, an Extended Kalman Filter (EKF) is improved for the speed position and conduct assessment of a satellite/flying vehicle utilizing minimal expense sensors made by a sensorcombination ...
doi:10.37394/232018.2021.9.3
fatcat:j2arbguobzcvfazbhbw5u75aim
Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors
[article]
2020
arXiv
pre-print
We improve a state-of-the-art object tracker by combining the tracking in image coordinates with a Kalman filter in road coordinates. ...
For that, we equip our test vehicle with a differential GPS sensor and use it to collect ground truth trajectories. With this data we compute the measurement errors. ...
ACKNOWLEDGMENT We would like to thank Anthony Acker, Andrew Dickens, Mehmet Inönü, Sebastian Kienitz, Florian Münch, and Brad Siedner for their support with the construction of the hardware prototype and ...
arXiv:2004.01288v1
fatcat:oitbgzsonnbl7nl7madverj5xy
Fusion of heterogeneous sensors for the guidance of an autonomous vehicle
2000
Proceedings of the Third International Conference on Information Fusion
An adaptive information filter is used for the fusion of the associated targets from different sensors. ...
The sensor system is designed to totally cover the vehicle environment with a high redundancy in front of the vehicle. ...
A target which has already been associated with another track (case 1) is used to update the existing track. ...
doi:10.1109/ific.2000.859865
fatcat:idnavyv4draqpotye5c3m2tf64
Towards Autonomous Driving: a Multi-Modal 360^∘ Perception Proposal
[article]
2020
arXiv
pre-print
Lastly, a tracking stage based on Unscented Kalman Filter is used to track the agents along time. ...
A wide variety of tests of the system, deployed in an autonomous vehicle, have successfully assessed the suitability of the proposed perception stack in a real autonomous driving application. ...
Most tracking approaches for onboard perception are based on particle [14] or Kalman [15] filters. ...
arXiv:2008.09672v1
fatcat:ugky2irhlzadvcsdsfe2f2sv7u
Modern techniques for condition monitoring of railway vehicle dynamics
2012
Journal of Physics, Conference Series
Section two presents the model-based techniques (Kalman filters; extended Kalman filter; sequential Monte Carlo method (Rao-Blackwellised particle filter)) used to estimate the dynamics of the rail vehicle ...
They examined the validity of the approach by investigating the secondary lateral damper and spring failure in railway vehicles using Kalman filter as a mode-matching filter. ...
doi:10.1088/1742-6596/364/1/012016
fatcat:dmruuygndfdurkgktmbhpchht4
A Novel Method for Lithium-Ion Battery Online Parameter Identification Based on Variable Forgetting Factor Recursive Least Squares
2018
Energies
Combined with an unscented Kalman filter (UKF) algorithm, a joint algorithm named VFF-RLS-UKF is proposed for SOC estimation. ...
Energies 2018, 11, 1358 2 of 15 nonlinear Kalman filter [4-9], particle filtering (PF) [10, 11] , sliding mode observer (SMO) [12, 13] , the H ∞ filter [14, 15] , and so on [16] . ...
recursive least squares unscented Kalman filter (FFRLS-UKF) 3 variable forgetting factor recursive least squares unscented Kalman filter (VFF-RLS-UKF) 4 root-mean-square error (RMSE) ...
doi:10.3390/en11061358
fatcat:hanau5o4fnbs5p5datevaec2me
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