A review of recent advances in lane detection and departure warning system
Statistics show that worldwide motor vehicle collisions lead to significant deaths and
disabilities as well as substantial financial costs to both society and the individuals involved …
disabilities as well as substantial financial costs to both society and the individuals involved …
Advances in vision-based lane detection: Algorithms, integration, assessment, and perspectives on ACP-based parallel vision
Lane detection is a fundamental aspect of most current advanced driver assistance systems
(ADASs). A large number of existing results focus on the study of vision-based lane …
(ADASs). A large number of existing results focus on the study of vision-based lane …
Deep hough-transform line priors
Classical work on line segment detection is knowledge-based; it uses carefully designed
geometric priors using either image gradients, pixel groupings, or Hough transform variants …
geometric priors using either image gradients, pixel groupings, or Hough transform variants …
A fast learning method for accurate and robust lane detection using two-stage feature extraction with YOLO v3
X Zhang, W Yang, X Tang, J Liu - Sensors, 2018 - mdpi.com
To improve the accuracy of lane detection in complex scenarios, an adaptive lane feature
learning algorithm which can automatically learn the features of a lane in various scenarios …
learning algorithm which can automatically learn the features of a lane in various scenarios …
Looking at vehicles in the night: Detection and dynamics of rear lights
RK Satzoda, MM Trivedi - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
Existing nighttime vehicle detection methods use color as the primary cue for detecting
vehicles. However, complex road and ambient lighting conditions, and camera …
vehicles. However, complex road and ambient lighting conditions, and camera …
Reliable multilane detection and classification by utilizing cnn as a regression network
S Chougule, N Koznek, A Ismail… - Proceedings of the …, 2018 - openaccess.thecvf.com
Reliable lane detection is crucial functionality for autonomous driving. Additionally positional
information of ego lanes and side lanes is pivotal for critical tasks like overtaking assistants …
information of ego lanes and side lanes is pivotal for critical tasks like overtaking assistants …
Robust multi-lane detection and tracking using adaptive threshold and lane classification
Many global automotive companies have been putting efforts to reduce traffic accidents by
developing advanced driver assistance system (ADAS) as well as autonomous vehicles …
developing advanced driver assistance system (ADAS) as well as autonomous vehicles …
Ego-lane analysis system (elas): Dataset and algorithms
Decreasing costs of vision sensors and advances in embedded hardware boosted lane
related research–detection, estimation, tracking, etc.–in the past two decades. The interest in …
related research–detection, estimation, tracking, etc.–in the past two decades. The interest in …
A framework for camera-based real-time lane and road surface marking detection and recognition
A Gupta, A Choudhary - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
We propose a novel real-time integrated unsupervised learning framework for lane
detection, tracking, and road surface marking detection and recognition using live feed from …
detection, tracking, and road surface marking detection and recognition using live feed from …
Vehicle detection and inter-vehicle distance estimation using single-lens video camera on urban/suburb roads
DY Huang, CH Chen, TY Chen, WC Hu… - Journal of Visual …, 2017 - Elsevier
This paper presents a driver assistance system for vehicle detection and inter-vehicle
distance estimation using a single-lens video camera on urban/suburb roads. The task of …
distance estimation using a single-lens video camera on urban/suburb roads. The task of …