A model driven 3D lane detection system using stereovision

Benmansour, N.; Labayrade, Raphaël; Didier, A.; Glaser, Sébastien; Gruyer, Dominique

doi:10.1109/icarcv.2008.4795705

Cited by 8 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another monocular vision‐based solution for road slope estimation with considering the host car's kinematic information was given in [19]. Furthermore, in [20–22], stereovision solutions were given for road slope estimation. Disparity map and matching features between two images were the techniques as starting point for estimations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Vision‐based road slope estimation methods using road lines or local features from instant images

Ustunel

Maşazade²

2019

IET Intelligent Transport Systems

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

“…Disparity map and matching features between two images were the techniques as starting point for estimations. The stereovision extension of [16–18] was presented in [20, 21]. To construct the 3D profile of road, a geometric way was proposed in [22] based on the disparity map in stereo images.…”

Section: Introductionmentioning

confidence: 99%

Vision‐based road slope estimation methods using road lines or local features from instant images

Ustunel

Maşazade²

2019

IET Intelligent Transport Systems

View full text Add to dashboard Cite

“…We just mention [6] which proposes to extract and recognize road arrows by regionbased segmentation, connected component extraction and geometric selection. In the context of lane detection, stereovision versions of markings extractors have been proposed in [7], [6], [10], [2] and for rectangular road markings and crosswalks, in [14].…”

Section: Introductionmentioning

confidence: 99%

Robust road marking extraction in urban environments using stereo images

Sebsadji¹,

Tarel

Foucher³

et al. 2010

2010 IEEE Intelligent Vehicles Symposium

View full text Add to dashboard Cite

Abstract-Most road marking detection systems use image processing to extract potential marking elements in their first stage. Hence, the performances of extraction algorithms clearly impact the result of the whole process. In this paper, we address the problem of extracting road markings in high resolution environment images taken by inspection vehicles in a urban context. This situation is challenging since large special markings, such as crosswalks, zebras or pictographs must be detected as well as lane markings. Moreover, urban images feature many white elements that might lure the extraction process. In prior work an efficient extraction process, called Median Local Threshold algorithm, was proposed that can handle all kinds of road markings. This extraction algorithm is here improved and compared to other extraction algorithms. An experimental study performed on a database of images with ground-truth shows that the stereovision strategy reduces the number of false alarms without significant loss of true detection.

show abstract

A review of 3D reconstruction techniques in civil engineering and their applications

Liu

2018

Advanced Engineering Informatics

218

View full text Add to dashboard Cite

A model driven 3D lane detection system using stereovision

Cited by 8 publications

References 5 publications

Vision‐based road slope estimation methods using road lines or local features from instant images

Vision‐based road slope estimation methods using road lines or local features from instant images

Robust road marking extraction in urban environments using stereo images

A review of 3D reconstruction techniques in civil engineering and their applications

Contact Info

Product

Resources

About