Robust Lane Extraction Using Two-Dimension Declivity

Abstract

A new robust lane marking extraction algorithm for monoc ular vision is proposed based on Two-Dimension Declivity. lt is designed for the urban roads with difficult conditions (shadow, high brightness, etc.). ln this paper, we propose a locating system which, from an embedded camera, allows lateral positioning of a vehicle by detecting road markings. The primary contribution of the paper is that it sup plies a robust method made up of six steps: (i) Image Pre-processing, (ii) Enhanced Declivity Operator (DE), (iii) Mathematical Morphology, (iv) Labeling, (v) Hough Transform and (vi) Line Segment Clustering. The experimental results have shown the high performance of our algo rithm in various road scenes. This validation stage has been done with a sequence of simulated images. Results are very promising: more than 90% of marking lines are extracted for Jess than 12% of false alarm.

Microwave-assisted, rapid synthesis of 2-vinylquinolines and evaluation of their antimalarial activity

“…Owing to their biological significance, the synthesis of 2-vinylquinolines has attracted great attention from the chemistry community. The double bond is most conveniently prepared from a Wittig reaction between 2-quinolinecarboxaldehydes and the corresponding ylides (Scheme 1a) [7]. Nevertheless, the limited availability of 2-quinolinecarboxaldehyde narrows the scope of this approach, and the stoichiometric amount of phosphine oxide byproduct further complicates the purification.…”

Bayesian curved lane estimation for autonomous driving

“…1 illustrates the general workflow of the proposed method. The input image goes through a preprocessing step in order to perform contour extraction like in Fakhfakh et al (2018). The objective is then to characterize the extracted lanes by fitting them to the adopted analytical model.…”

“…Beside the challenging real images of ROMA dataset, the availability of ground truth corresponding to road markings give us a best opportunity to assess lane detection and curvature estimation. The lane detection part was deeply evaluated in a previous work and by using the same dataset as used in that experiments Fakhfakh et al (2018).…”