Lane detection is an application of environmental perception, which aims to detect lane
areas or lane lines by camera or lidar. In recent years, gratifying progress has been made in …

Lane marking recognition is one of the most crucial features for automotive vehicles as it is
one of the most fundamental requirements of all the autonomy features of Advanced Driver …

Purpose: The purpose of this study was to summarize and evaluate artificial intelligence (AI)
algorithms used in geographic atrophy (GA) diagnostic processes (eg isolating lesions or …

Modern vehicles are equipped with various driver-assistance systems, including automatic
lane keeping, which prevents unintended lane departures. Traditional lane detection …

Lane detection is used to detect the lane markings in a road scene between which the
vehicle is driving and provide the accurate location and shape of each lane marking. It …

Lane detection is of critical importance to both the self-driving cars as well as advanced
driver assistance systems. While current methods use a range of features from low-level to …

Many intelligent transportation system (ITS) applications increasingly depend on accurate
and reliable positioning performance. How to achieve such performance using low-cost …

In this paper we present a novel approach for lane detection and segmentation using
generative models. Traditionally discriminative models have been employed to classify …

The recent progress in the DSAs led to the progress of advanced lane detection systems for
preventing accidents. The information about the lane is detected, which is used for the …

Semantic image segmentation is used to analyse visual content and carry out real-time
decision-making. This narrative literature analysis evaluates the multiple innovations and …