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

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Advances in Autonomous Robotics
Subtitle of host publication	Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress, Bristol, UK, August 20-23, 2012
Publisher	Springer Nature
Pages	366-376
Volume	7429
ISBN (Electronic)	978-3-642-32527-4
ISBN (Print)	978-3-642-32526-7
DOIs	https://doi.org/10.1007/978-3-642-32527-4_33
Publication status	Published - 2012

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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.",

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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. Vol. 7429 Springer Nature, 2012. p. 366-376.

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

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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.

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

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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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