Road scene monotony detection in a fatigue management driver assistance system

Luke Fletcher; Lars Petersson; Alexander Zelinsky

doi:10.1109/IVS.2005.1505150

Road scene monotony detection in a fatigue management driver assistance system

Luke Fletcher^*, Lars Petersson, Alexander Zelinsky

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

27 Citations (Scopus)

Abstract

Automated fatigue detection devices show much promise, in combating fatigue related accidents. One aspect which hampers the introduction of these technologies is context awareness. In this paper we develop and evaluate a road scene monotony detector. The detector can be used to give context awareness to fatigue detection tools to minimise false positives. The approach could also be used by road makers to quantify monotony on fatigue prone stretches of road. The detector uses MPEG compression to measure the change in information content of the road scene over tune. We show that the detector correlates highly with human identified monotonous scenes. The technique is consistent over time and applicable for day and night operation. The compression is augmented with lane tracking data to distinguish between otherwise difficult cases. The detector is integrated into a Fatigue Management Driver Assistance System.

Original language	English
Title of host publication	2005 IEEE Intelligent Vehicles Symposium, Proceedings
Pages	484-489
Number of pages	6
DOIs	https://doi.org/10.1109/IVS.2005.1505150
Publication status	Published - 2005
Event	2005 IEEE Intelligent Vehicles Symposium - Las Vegas, NV, United States Duration: 6 Jun 2005 → 8 Jun 2005

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings
Volume	2005

Conference

Conference	2005 IEEE Intelligent Vehicles Symposium
Country/Territory	United States
City	Las Vegas, NV
Period	6/06/05 → 8/06/05

Access to Document

10.1109/IVS.2005.1505150

Cite this

@inproceedings{afaefaa218cf440da28c30a73dbf9a84,

title = "Road scene monotony detection in a fatigue management driver assistance system",

abstract = "Automated fatigue detection devices show much promise, in combating fatigue related accidents. One aspect which hampers the introduction of these technologies is context awareness. In this paper we develop and evaluate a road scene monotony detector. The detector can be used to give context awareness to fatigue detection tools to minimise false positives. The approach could also be used by road makers to quantify monotony on fatigue prone stretches of road. The detector uses MPEG compression to measure the change in information content of the road scene over tune. We show that the detector correlates highly with human identified monotonous scenes. The technique is consistent over time and applicable for day and night operation. The compression is augmented with lane tracking data to distinguish between otherwise difficult cases. The detector is integrated into a Fatigue Management Driver Assistance System.",

author = "Luke Fletcher and Lars Petersson and Alexander Zelinsky",

year = "2005",

doi = "10.1109/IVS.2005.1505150",

language = "English",

isbn = "0780389611",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

pages = "484--489",

booktitle = "2005 IEEE Intelligent Vehicles Symposium, Proceedings",

note = "2005 IEEE Intelligent Vehicles Symposium ; Conference date: 06-06-2005 Through 08-06-2005",

}

Fletcher, L, Petersson, L & Zelinsky, A 2005, Road scene monotony detection in a fatigue management driver assistance system. in 2005 IEEE Intelligent Vehicles Symposium, Proceedings., 1505150, IEEE Intelligent Vehicles Symposium, Proceedings, vol. 2005, pp. 484-489, 2005 IEEE Intelligent Vehicles Symposium, Las Vegas, NV, United States, 6/06/05. https://doi.org/10.1109/IVS.2005.1505150

Road scene monotony detection in a fatigue management driver assistance system. / Fletcher, Luke; Petersson, Lars; Zelinsky, Alexander.
2005 IEEE Intelligent Vehicles Symposium, Proceedings. 2005. p. 484-489 1505150 (IEEE Intelligent Vehicles Symposium, Proceedings; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Road scene monotony detection in a fatigue management driver assistance system

AU - Fletcher, Luke

AU - Petersson, Lars

AU - Zelinsky, Alexander

PY - 2005

Y1 - 2005

N2 - Automated fatigue detection devices show much promise, in combating fatigue related accidents. One aspect which hampers the introduction of these technologies is context awareness. In this paper we develop and evaluate a road scene monotony detector. The detector can be used to give context awareness to fatigue detection tools to minimise false positives. The approach could also be used by road makers to quantify monotony on fatigue prone stretches of road. The detector uses MPEG compression to measure the change in information content of the road scene over tune. We show that the detector correlates highly with human identified monotonous scenes. The technique is consistent over time and applicable for day and night operation. The compression is augmented with lane tracking data to distinguish between otherwise difficult cases. The detector is integrated into a Fatigue Management Driver Assistance System.

AB - Automated fatigue detection devices show much promise, in combating fatigue related accidents. One aspect which hampers the introduction of these technologies is context awareness. In this paper we develop and evaluate a road scene monotony detector. The detector can be used to give context awareness to fatigue detection tools to minimise false positives. The approach could also be used by road makers to quantify monotony on fatigue prone stretches of road. The detector uses MPEG compression to measure the change in information content of the road scene over tune. We show that the detector correlates highly with human identified monotonous scenes. The technique is consistent over time and applicable for day and night operation. The compression is augmented with lane tracking data to distinguish between otherwise difficult cases. The detector is integrated into a Fatigue Management Driver Assistance System.

UR - http://www.scopus.com/inward/record.url?scp=24344481640&partnerID=8YFLogxK

U2 - 10.1109/IVS.2005.1505150

DO - 10.1109/IVS.2005.1505150

M3 - Conference contribution

SN - 0780389611

SN - 9780780389618

T3 - IEEE Intelligent Vehicles Symposium, Proceedings

SP - 484

EP - 489

BT - 2005 IEEE Intelligent Vehicles Symposium, Proceedings

T2 - 2005 IEEE Intelligent Vehicles Symposium

Y2 - 6 June 2005 through 8 June 2005

ER -

Road scene monotony detection in a fatigue management driver assistance system

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this