Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Authors

  • Alexander Busch
  • Daniel Fink
  • Max Heinrich Laves
  • Zygimantas Ziaukas
  • Mark Wielitzka
  • Tobias Ortmaier

Research Organisations

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Details

Original languageEnglish
Title of host publicationAdvances in Dynamics of Vehicles on Roads and Tracks
Subtitle of host publicationProceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden
EditorsMatthijs Klomp, Fredrik Bruzelius, Jens Nielsen, Angela Hillemyr
Place of PublicationCham
PublisherSpringer Nature
Pages1042-1051
Number of pages10
ISBN (electronic)9783030380779
ISBN (print)9783030380762
Publication statusPublished - 13 Feb 2020
Event26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019 - Gothenburg, Sweden
Duration: 12 Aug 2019 → 16 Aug 2019

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (electronic)2195-4364

Abstract

In order to achieve the goal of autonomous driving, a precise perception of the vehicle’s environment is required. In particular, the weather-related road condition has a major influence on vehicle dynamics and thus on driving safety. In this paper, we compare Deep Convolutional Neural Networks of different computational effort, namely Inception-v3, GoogLeNet and the much smaller SqueezeNet, for classification of road surface and its weather-related condition. Previously, different regions of interest were compared in order to provide the networks with optimal input data.

Keywords

    Classification, Computer vision, Road condition

ASJC Scopus subject areas

Cite this

Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks. / Busch, Alexander; Fink, Daniel; Laves, Max Heinrich et al.
Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden. ed. / Matthijs Klomp; Fredrik Bruzelius; Jens Nielsen; Angela Hillemyr. Cham: Springer Nature, 2020. p. 1042-1051 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Busch, A, Fink, D, Laves, MH, Ziaukas, Z, Wielitzka, M & Ortmaier, T 2020, Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks. in M Klomp, F Bruzelius, J Nielsen & A Hillemyr (eds), Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden. Lecture Notes in Mechanical Engineering, Springer Nature, Cham, pp. 1042-1051, 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, Gothenburg, Sweden, 12 Aug 2019. https://doi.org/10.1007/978-3-030-38077-9_121
Busch, A., Fink, D., Laves, M. H., Ziaukas, Z., Wielitzka, M., & Ortmaier, T. (2020). Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks. In M. Klomp, F. Bruzelius, J. Nielsen, & A. Hillemyr (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden (pp. 1042-1051). (Lecture Notes in Mechanical Engineering). Springer Nature. https://doi.org/10.1007/978-3-030-38077-9_121
Busch A, Fink D, Laves MH, Ziaukas Z, Wielitzka M, Ortmaier T. Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks. In Klomp M, Bruzelius F, Nielsen J, Hillemyr A, editors, Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden. Cham: Springer Nature. 2020. p. 1042-1051. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-030-38077-9_121
Busch, Alexander ; Fink, Daniel ; Laves, Max Heinrich et al. / Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks. Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden. editor / Matthijs Klomp ; Fredrik Bruzelius ; Jens Nielsen ; Angela Hillemyr. Cham : Springer Nature, 2020. pp. 1042-1051 (Lecture Notes in Mechanical Engineering).
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