Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies

Miklas Strøm Kristoffersen; Jacob Velling Dueholm; Ravi K. Satzoda; Mohan M. Trivedi; Andreas Møgelmose; Thomas B. Moeslund

doi:10.1109/CVPRW.2016.197

Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies

Miklas Strøm Kristoffersen, Jacob Velling Dueholm, Ravi K. Satzoda, Mohan M. Trivedi, Andreas Møgelmose, Thomas B. Moeslund

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

12 Citations (Scopus)

583 Downloads (Pure)

Abstract

This paper proposes the use of multiple low-cost visual sensors to obtain a surround view of the ego-vehicle for semantic understanding. A multi-perspective view will assist the analysis of naturalistic driving studies (NDS), by automating the task of data reduction of the observed sequences into events. A user-centric vision-based framework is presented using a vehicle detector and tracker in each separate perspective. Multi-perspective trajectories are estimated and analyzed to extract 14 different events, including potential dangerous behaviors such as overtakes and cut-ins. The system is tested on ten sequences of real-world data collected on U. S. highways. The results show the potential use of multiple low-cost visual sensors for semantic understanding around the ego-vehicle.

Original language	English
Title of host publication	2016 IEEE Computer Vision and Pattern Recognition Workshops : Automatic Traffic Surveillance
Publisher	IEEE
Publication date	19 Dec 2016
Pages	1584-1591
ISBN (Print)	978-1-5090-1438-5
ISBN (Electronic)	978-1-5090-1437-8
DOIs	https://doi.org/10.1109/CVPRW.2016.197
Publication status	Published - 19 Dec 2016
Event	2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops: Automated Traffic Surveillance - Las Vegas, United States Duration: 1 Jul 2016 → …

Workshop

Workshop	2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops: Automated Traffic Surveillance
Country/Territory	United States
City	Las Vegas
Period	01/07/2016 → …

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10.1109/CVPRW.2016.197

Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway StudiesAccepted author manuscript, 3.73 MB

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Master of Science in Vision, Graphics and Interactive Systems
Dueholm, J. V.
01/09/2014 → 30/06/2016
Project: Other

Cite this

Kristoffersen, M. S., Dueholm, J. V., Satzoda, R. K., Trivedi, M. M., Møgelmose, A., & Moeslund, T. B. (2016). Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies. In 2016 IEEE Computer Vision and Pattern Recognition Workshops: Automatic Traffic Surveillance (pp. 1584-1591). IEEE. https://doi.org/10.1109/CVPRW.2016.197

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title = "Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies",

abstract = "This paper proposes the use of multiple low-cost visual sensors to obtain a surround view of the ego-vehicle for semantic understanding. A multi-perspective view will assist the analysis of naturalistic driving studies (NDS), by automating the task of data reduction of the observed sequences into events. A user-centric vision-based framework is presented using a vehicle detector and tracker in each separate perspective. Multi-perspective trajectories are estimated and analyzed to extract 14 different events, including potential dangerous behaviors such as overtakes and cut-ins. The system is tested on ten sequences of real-world data collected on U. S. highways. The results show the potential use of multiple low-cost visual sensors for semantic understanding around the ego-vehicle.",

author = "Kristoffersen, {Miklas Str{\o}m} and Dueholm, {Jacob Velling} and Satzoda, {Ravi K.} and Trivedi, {Mohan M.} and Andreas M{\o}gelmose and Moeslund, {Thomas B.}",

year = "2016",

month = dec,

day = "19",

doi = "10.1109/CVPRW.2016.197",

language = "English",

isbn = "978-1-5090-1438-5",

pages = "1584--1591",

booktitle = "2016 IEEE Computer Vision and Pattern Recognition Workshops",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops: Automated Traffic Surveillance ; Conference date: 01-07-2016",

}

Kristoffersen, MS, Dueholm, JV, Satzoda, RK, Trivedi, MM, Møgelmose, A & Moeslund, TB 2016, Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies. in 2016 IEEE Computer Vision and Pattern Recognition Workshops: Automatic Traffic Surveillance. IEEE, pp. 1584-1591, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops: Automated Traffic Surveillance, Las Vegas, United States, 01/07/2016. https://doi.org/10.1109/CVPRW.2016.197

Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies. / Kristoffersen, Miklas Strøm; Dueholm, Jacob Velling; Satzoda, Ravi K. et al.
2016 IEEE Computer Vision and Pattern Recognition Workshops: Automatic Traffic Surveillance. IEEE, 2016. p. 1584-1591.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies

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Projects

Master of Science in Vision, Graphics and Interactive Systems

Cite this