Creating Value from in-Vehicle Data: Detecting Road Surfaces and Road Hazards

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

Authors

An important component for the realization of the automated driving task is a holistic environment model. Connected and Autonomous Vehicles (CAVs) must be capable of detecting other vehicles, road markings, dangerous obstacles and upcoming road conditions. Apart from the comfort dependency on the road condition, friction values are calculated on the basis of road properties, which in turn are relevant for e.g. breaking and safety distances of CAVs. Due to the substitution of the human control task by the machine, this information must in future be detected by the vehicle itself. Based on the existing Vehicle Level Sensors (VLSs) and Acceleration Sensors (ASs) data, which are standard components in modern vehicles, a machine-learning approach of determining road surface materials and road hazards is presented. Our software solution of determining different road surface materials as asphalt, concrete, cobblestone or gravel with a total accuracy of 92.36% is presented. Furthermore, the results of the road hazards detection as potholes and speed bumps with a total accuracy of 92.39% is stated. Additionally to the edge calculations in the vehicle, our idea resolves in connected vehicles being capable of classifying road conditions enabling them to provide road analyses to a cloud platform. The goal is to establish a holistic cloud solution for road conditions to enable CAVs for the consumption of road condition data of upcoming road segments and empower them to adjust to those.
Original languageEnglish
Title of host publication2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020
Number of pages6
Place of PublicationPiscataway
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date20.09.2020
Article number9294684
ISBN (print)978-1-7281-4150-3
ISBN (electronic)978-1-7281-4149-7
DOIs
Publication statusPublished - 20.09.2020
Event23rd IEEE International Conference on Intelligent Transportation 2020 - Rhodes, Greece
Duration: 20.09.202023.09.2020
Conference number: 23
https://www.ieee-itsc2020.org/

    Research areas

  • Business informatics - Roads, Sensors, Hazards, Rough surfaces, Cloud computing, task analysis, wheels

Recently viewed

Publications

  1. Traffic Life: Temporal Dynamics and Regulatory Dimensions in Agent-Based Transport Simulations
  2. Shepherds’ local knowledge and scientific data on the scavenging ecosystem service
  3. Agile Portfolio Management Patterns
  4. Automatic feature selection for anomaly detection
  5. (How) Can didactic research find its way into the classroom? Results from a questionnaire survey on the lesson preparation and continuing professional development of German teachers
  6. A slow-fast trait continuum at the whole community level in relation to land-use intensification
  7. Non-acceptances in context
  8. Temporal Dynamics of Ecosystem Services
  9. Combining sense of place theory with the ecosystem services concept: empirical insights and reflections from a participatory mapping study
  10. Project and Design of a Catamaran Prototype with Aerial Propulsion System
  11. Identification of Parameters and States in PMSMs
  12. The Augmented Theorist - Toward Automated Knowledge Extraction from Conceptual Models
  13. Differences in the sophistication of Value-based Management
  14. In situ synchrotron diffraction of the solidification of Mg4Y3Nd
  15. Machine Learning and Data Mining for Sports Analytics
  16. The use of pseudo-causal narratives in EU policies
  17. Knowledge Spaces of Globalization
  18. Desynchronization of the Public and the Private
  19. Global fern and lycophyte richness explained: How regional and local factors shape plot richness
  20. Recontextualizing Anthropomorphic Metaphors in Organization Studies
  21. Chronic effects of a static stretching intervention program on range of motion and tissue hardness in older adults
  22. Contextualizing certification and auditing
  23. Extending Enterprise Architectures for Adopting the Internet of Things
  24. Gaining deep leverage? Reflecting and shaping real-world lab impacts through leverage points
  25. Logistical Potentials of Load Balancing via the Build-up and Reduction of Stock
  26. Detection of significant tracer gases by means of polymer gas sensors
  27. Tuning kalman filter in linear systems
  28. Priority effects of time of arrival of plant functional groups override sowing interval or density effects
  29. How to support students-learning in mathematical bridging-courses using ITS? Remedial Scenarios in the EU-Project Math-Bridge