Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

This paper reports a novel approach for assessing the surface profile of roads utilizing the vehicle level sensor. The sensor is already legally binding installed in modern vehicles with headlights including LED and Xenon lighting sources in Europe due to the automatic luminaire width control. The effective application of the presented sensor setup is validated within a laboratory setup displaying and simulating the quarter-vehicle-model for known surface profiles while comparing the simulated results with measured values from the sensor setup. The results show that the measured data are in accordance to the general characteristic of the signals frequency and slope. The amplitudes derivate slightly due to inertia in the laboratory setup. This paper shows that the approach of utilizing the vehicle level sensor for road condition monitoring works in principle. It is the first step towards a real-time modelling of road conditions from common vehicles utilizing given sensors.
Original languageEnglish
Title of host publication2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings : Conference proceedings
Number of pages4
Place of PublicationPiscataway
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date10.2019
Article number8956699
ISBN (print)978-1-7281-1635-8
ISBN (electronic)978-1-7281-1634-1
DOIs
Publication statusPublished - 10.2019
EventIEEE Sensors - IEEE 2019 - Palais des Congres de Montreal, Montreal, Canada
Duration: 27.10.201930.10.2019
https://ieee-sensors2019.org/

Bibliographical note

Date Added to IEEE Xplore: 13 January 2020

    Research areas

  • Business informatics - condition monitoring, laboratory techniques, light emitting diodes, lighting, road vehicles, sensors, xenon

Recently viewed

Publications

  1. Gain Scheduling Controller for Improving Level Control Performance
  2. Control of the inverse pendulum based on sliding mode and model predictive control
  3. Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments
  4. Spatial mislocalization as a consequence of sequential coding of stimuli
  5. Analysis of long-term statistical data of cobalt flows in the EU
  6. Building Assistance Systems using Distributed Knowledge Representations
  7. Model inversion using fuzzy neural network with boosting of the solution
  8. From entity to process
  9. Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics
  10. Tree diversity increases forest temperature buffering via enhancing canopy density and structural diversity
  11. Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural temperate forests
  12. lp-Norm Multiple Kernel Learning
  13. Design optimization of spiral coils for textile applications by genetic algorithm
  14. Exact and approximate inference for annotating graphs with structural SVMs
  15. Recurrence Quantification Analysis of Processes and Products of Discourse
  16. Lessons learned for spatial modelling of ecosystem services in support of ecosystem accounting
  17. Clause identification using entropy guided transformation learning
  18. Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
  19. An analytical approach to evaluating nonmonotonic functions of fuzzy numbers
  20. An analytical predictor machine learning corrector scheme for modeling lateral flow in hot strip rolling
  21. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies
  22. “Ideation is Fine, but Execution is Key”
  23. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  24. From Knowledge to Application
  25. Neural correlates of the enactment effect in the brain
  26. How Much Tracking Is Necessary? - The Learning Curve in Bayesian User Journey Analysis
  27. Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives
  28. Optimization of 3D laser scanning speed by use of combined variable step
  29. Machine Learning and Knowledge Discovery in Databases
  30. Modelling biodegradability based on OECD 301D data for the design of mineralising ionic liquids
  31. Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems
  32. Towards Advanced Learning in Dispatching Rule-Based Scheuling
  33. Learning and Re-learning from net- based cooperative learning discourses
  34. Using Heider’s Epistemology of Thing and Medium for Unpacking the Conception of Documents: Gantt Charts and Boundary Objects
  35. Conceptual understanding of complex components and Nyquist-Shannon sampling theorem
  36. "And I Think That Is a Very Straightforward Way of Dealing With It''
  37. Integrating Common Ground and Informativeness in Pragmatic Word Learning