Real-Time Autonomous Colour-Based Following of Ill-Defined Roads

Marek Ososinski; Frédéric Labrosse

doi:10.1007/978-3-642-32527-4_33

Real-Time Autonomous Colour-Based Following of Ill-Defined Roads

Marek Ososinski, Frédéric Labrosse

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Autonomous following of ill-defined roads is an important part of visual navigation systems. The majority of current image-based road following methods rely on computationally expensive algorithms. This paper presents an adaptive real-time method based on statistical analysis of the colour of a road surface in a trapezoidal shape that corresponds to the projection of the road on the image plane. Our method is capable of navigating in real-time in a variety of situations, including 90°turns and crossroads, and coping with variable conditions of the road such as surface type and shadows.

Iaith wreiddiol	Saesneg
Teitl	Advances in Autonomous Robotics
Is-deitl	Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress, Bristol, UK, August 20-23, 2012
Cyhoeddwr	Springer Nature
Tudalennau	366-376
Cyfrol	7429
ISBN (Electronig)	978-3-642-32527-4
ISBN (Argraffiad)	978-3-642-32526-7
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/978-3-642-32527-4_33
Statws	Cyhoeddwyd - 2012

Mynediad at Ddogfen

10.1007/978-3-642-32527-4_33

Cysylltiad parhaol

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Ffeiliau eraill a chysylltiadau

http://hdl.handle.net/2160/11487

Dyfynnu hyn

@inproceedings{b08becf83ea4405a89ae95a40e27339d,

title = "Real-Time Autonomous Colour-Based Following of Ill-Defined Roads",

abstract = "Autonomous following of ill-defined roads is an important part of visual navigation systems. The majority of current image-based road following methods rely on computationally expensive algorithms. This paper presents an adaptive real-time method based on statistical analysis of the colour of a road surface in a trapezoidal shape that corresponds to the projection of the road on the image plane. Our method is capable of navigating in real-time in a variety of situations, including 90°turns and crossroads, and coping with variable conditions of the road such as surface type and shadows.",

author = "Marek Ososinski and Fr{\'e}d{\'e}ric Labrosse",

year = "2012",

doi = "10.1007/978-3-642-32527-4_33",

language = "English",

isbn = "978-3-642-32526-7",

volume = "7429",

pages = "366--376",

booktitle = "Advances in Autonomous Robotics",

publisher = "Springer Nature",

address = "Switzerland",

}

Real-Time Autonomous Colour-Based Following of Ill-Defined Roads. / Ososinski, Marek; Labrosse, Frédéric.
Advances in Autonomous Robotics: Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress, Bristol, UK, August 20-23, 2012. Cyfrol 7429 Springer Nature, 2012. t. 366-376.

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

TY - GEN

T1 - Real-Time Autonomous Colour-Based Following of Ill-Defined Roads

AU - Ososinski, Marek

AU - Labrosse, Frédéric

PY - 2012

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N2 - Autonomous following of ill-defined roads is an important part of visual navigation systems. The majority of current image-based road following methods rely on computationally expensive algorithms. This paper presents an adaptive real-time method based on statistical analysis of the colour of a road surface in a trapezoidal shape that corresponds to the projection of the road on the image plane. Our method is capable of navigating in real-time in a variety of situations, including 90°turns and crossroads, and coping with variable conditions of the road such as surface type and shadows.

AB - Autonomous following of ill-defined roads is an important part of visual navigation systems. The majority of current image-based road following methods rely on computationally expensive algorithms. This paper presents an adaptive real-time method based on statistical analysis of the colour of a road surface in a trapezoidal shape that corresponds to the projection of the road on the image plane. Our method is capable of navigating in real-time in a variety of situations, including 90°turns and crossroads, and coping with variable conditions of the road such as surface type and shadows.

UR - http://hdl.handle.net/2160/11487

U2 - 10.1007/978-3-642-32527-4_33

DO - 10.1007/978-3-642-32527-4_33

M3 - Conference Proceeding (Non-Journal item)

SN - 978-3-642-32526-7

VL - 7429

SP - 366

EP - 376

BT - Advances in Autonomous Robotics

PB - Springer Nature

ER -

Real-Time Autonomous Colour-Based Following of Ill-Defined Roads

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