Robust lane detection from continuous driving scenes using deep neural networks
Lane detection in driving scenes is an important module for autonomous vehicles and
advanced driver assistance systems. In recent years, many sophisticated lane detection …
advanced driver assistance systems. In recent years, many sophisticated lane detection …
Vision-based autonomous vehicle recognition: A new challenge for deep learning-based systems
A Boukerche, X Ma - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention
recently. Particularly given the reliance on emerging deep learning methods, which have …
recently. Particularly given the reliance on emerging deep learning methods, which have …
Road object detection for HD map: Full-element survey, analysis and perspectives
As the key part of autonomous driving (AD), High-Definition (HD) map provides more precise
location and rich semantic information than the traditional map. With the development of AD …
location and rich semantic information than the traditional map. With the development of AD …
Lane detection in intelligent vehicle system using optimal 2-tier deep convolutional neural network
DK Dewangan, SP Sahu - Multimedia tools and applications, 2023 - Springer
Abstract In Advanced Driver Assistance Systems (ADAS) and autonomous vehicles, lane
detection is an important module. Most lane detection methods focused on detecting lanes …
detection is an important module. Most lane detection methods focused on detecting lanes …
A lane tracking method based on progressive probabilistic Hough transform
Lane departure warning systems have gained considerable research interest in the past
decade for its promising usage in automotive, where lane detection and tracking is applied …
decade for its promising usage in automotive, where lane detection and tracking is applied …
Vision-based robust lane detection and tracking in challenging conditions
Lane marking detection is fundamental for both advanced driving assistance systems and
traffic surveillance systems. However, detecting lane is highly challenging when the visibility …
traffic surveillance systems. However, detecting lane is highly challenging when the visibility …
Lane detection of curving road for structural highway with straight-curve model on vision
H Wang, Y Wang, X Zhao, G Wang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Curve is the traffic accident-prone area in the traffic system of the structural road. How to
effectively detect the lane-line and timely give the traffic information ahead for drivers is a …
effectively detect the lane-line and timely give the traffic information ahead for drivers is a …
Lane detection method based on lane structural analysis and CNNs
YY Ye, XL Hao, HJ Chen - IET Intelligent Transport Systems, 2018 - Wiley Online Library
Advanced driving assistance systems (ADASs) play a vital role in the safety of transportation.
The detection of lane markings is a very important part of ADASs. For the safety of …
The detection of lane markings is a very important part of ADASs. For the safety of …
Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation
Collecting large datasets for investigations into human locomotion is an expensive and labor-
intensive process. Methods for 3D human pose estimation in the wild are becoming …
intensive process. Methods for 3D human pose estimation in the wild are becoming …
A real-time lane marking localization, tracking and communication system
A Mammeri, A Boukerche, Z Tang - Computer Communications, 2016 - Elsevier
In this paper, we present an in-vehicle computing system capable of localizing lane
markings and communicating them to drivers. To the best of our knowledge, this is the first …
markings and communicating them to drivers. To the best of our knowledge, this is the first …