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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Autoren

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

Organisationseinheiten

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Details

OriginalspracheEnglisch
Titel des SammelwerksAdvances in Dynamics of Vehicles on Roads and Tracks
UntertitelProceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden
Herausgeber/-innenMatthijs Klomp, Fredrik Bruzelius, Jens Nielsen, Angela Hillemyr
ErscheinungsortCham
Herausgeber (Verlag)Springer Nature
Seiten1042-1051
Seitenumfang10
ISBN (elektronisch)9783030380779
ISBN (Print)9783030380762
PublikationsstatusVeröffentlicht - 13 Feb. 2020
Veranstaltung26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019 - Gothenburg, Schweden
Dauer: 12 Aug. 2019 → 16 Aug. 2019

Publikationsreihe

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (elektronisch)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.

ASJC Scopus Sachgebiete

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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. Hrsg. / Matthijs Klomp; Fredrik Bruzelius; Jens Nielsen; Angela Hillemyr. Cham: Springer Nature, 2020. S. 1042-1051 (Lecture Notes in Mechanical Engineering).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › 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 (Hrsg.), 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, S. 1042-1051, 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, Gothenburg, Schweden, 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 (Hrsg.), 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 (S. 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, Hrsg., 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. S. 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. Hrsg. / Matthijs Klomp ; Fredrik Bruzelius ; Jens Nielsen ; Angela Hillemyr. Cham : Springer Nature, 2020. S. 1042-1051 (Lecture Notes in Mechanical Engineering).
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