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Daimler AG, 71034 Böblingen, Germany, Institute of Databases and Information Systems, Ulm University, 89081 Ulm and Germany

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1 Papers

CPD: Crowd-based Pothole Detection

Topics: Vehicular Networks; Connected Services; Real-time Incident Detection; Big Data & Vehicle Analytics

Authors: Florian Wirthmueller ¹ , Jochen Hipp ² , Kai-Uwe Sattler ³ and Manfred Reichert ⁴

Affiliations: ¹ Daimler AG, 71034 Böblingen, Germany, Institute of Databases and Information Systems, Ulm University, 89081 Ulm and Germany , ² Daimler AG, 71034 Böblingen and Germany , ³ Databases and Information Systems Group, Ilmenau University of Technology, 98693 Ilmenau and Germany , ⁴ Institute of Databases and Information Systems, Ulm University, 89081 Ulm and Germany

Digital Object Identifier: 10.5220/0007626700330042

Proceedings of VEHITS 2019, ISBN: 978-989-758-374-2

Quick Abstract

Potholes and other damages of the road surface constitute a problem being as old as roads are. Still, potholes are widespread and affect the driving comfort of passengers as well as road safety. If one knew about the exact locations of potholes, it would be possible to repair them selectively or at least to warn drivers about them up to their repair. However, both scenarios require their detection and localization. For this purpose, we propose a crowd-based approach that enables as many of the vehicles already driving on our roads as possible to detect potholes and report them to a centralized back-end application. Whereas each single vehicle provides only limited and imprecise information, it is possible to determine these information more precisely when collecting them at a large scale. These more exact information may, for example, be used to warn following vehicles about potholes lying ahead to increase overall safety and comfort. In this work, this idea is examined and an offline executable version of the desired system is implemented. Additionally, the approach is evaluated with a large database of real-world sensor readings from a testing fleet and therefore its feasibility is proved. Our investigation shows that the suggested CPD approach is promising to bring customers a benefit by an improved driving comfort and higher road safety.

Related Ontology Subjects/Areas/Topics (6)

Applications and Uses		Sensor, Mesh and Ad Hoc Communications and Networks		Vehicular Networks
Sensor Networks		Telecommunications		Wireless Information Networks and Systems