Results 21 to 30 of about 7,145,619 (284)

Research on Lane Detection Based on Global Search of Dynamic Region of Interest (DROI)

open access: yesApplied Sciences, 2020
A novel lane detection approach, based on the dynamic region of interest (DROI) selection in the horizontal and vertical safety vision, is proposed to improve the accuracy of lane detection in this paper.
Jianjun Hu   +4 more
doaj   +1 more source

RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations

open access: yesJournal of Advanced Transportation, 2021
Lane detection plays an essential part in advanced driver-assistance systems and autonomous driving systems. However, lane detection is affected by many factors such as some challenging traffic situations. Multilane detection is also very important.
Ronghui Zhang   +3 more
doaj   +1 more source

Lane-GAN: A Robust Lane Detection Network for Driver Assistance System in High Speed and Complex Road Conditions

open access: yesMicromachines, 2022
Lane detection is an important and challenging part of autonomous driver assistance systems and other advanced assistance systems. The presence of road potholes and obstacles, complex road environments (illumination, occlusion, etc.) are ubiquitous, will
Yan Liu   +4 more
doaj   +1 more source

Nighttime lane line detection with fractional differential, Frangi and Hessian

open access: yes四川大学学报. 自然科学版, 2021
Lane linedetection at night based on machine vision and image processing has always beena research problem in this field, even with the recent deep learning methods, the detection accuracy can only reach to about 50%.
CHEN Wei-Wei, WANG Wei-Xing, YAN Di
doaj  

Real-Time Lane Line Tracking Algorithm to Mini Vehicles

open access: yesTransport and Telecommunication, 2021
Autonomous navigation is important not only in autonomous cars but also in other transportation systems. In many applications, an autonomous vehicle has to follow the curvature of a real or artificial road or in other words lane lines.
Suto Jozsef
doaj   +1 more source

LaneFormer: Real-Time Lane Exaction and Detection via Transformer

open access: yesApplied Sciences, 2022
In intelligent driving, lane line detection is a basic but challenging task, especially in complex road conditions. The current detection algorithms based on convolutional neural networks perform well for simple scenes with plenty of light, and the lane ...
Yinyi Yang   +4 more
doaj   +1 more source

Robust and real-time multi-lane and single lane detection in Indian highway scenarios [PDF]

open access: yesE3S Web of Conferences, 2021
In the Advanced Driver Assistance System (ADAS), lane detection plays a vital role to avoid road accidents of an Autonomous vehicle. Also, autonomous vehicles should be able to navigate by themselves, in-order to do, it needs to understand its ...
Hanuman A. Sai, Kumar G. Prasanna
doaj   +1 more source

The geometric attention-aware network for lane detection in complex road scenes.

open access: yesPLoS ONE, 2021
Lane detection in complex road scenes is still a challenging task due to poor lighting conditions, interference of irrelevant road markings or signs, etc.
JianWu Long   +3 more
doaj   +1 more source

VANISHING POINT AIDED LANE DETECTION USING A MULTI-SENSOR SYSTEM [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Lane Detection is a critical component of an autonomous driving system that can be integrated alongside with High-definition (HD) map to improve accuracy and reliability of the system.
Z. Zhang, G. Kang, M. Ai, N. El-Sheimy
doaj   +1 more source

Image Adaptive Contrast Enhancement for Low-illumination Lane Lines Based on Improved Retinex and Guided Filter

open access: yesApplied Artificial Intelligence, 2021
In a low-illumination environment, the contrast between lane lines and the ground is relatively low. Traditional image enhancement algorithms, such as gamma correction, Histogram Equalization, and multiple-scale Retinex, may result in over enhancement ...
Hui Ma, Wenhao Lv, Yu Li, Yilun Liu
doaj   +1 more source

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