Overview of environment perception for intelligent vehicles
This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Ultra fast structure-aware deep lane detection
Modern methods mainly regard lane detection as a problem of pixel-wise segmentation,
which is struggling to address the problem of challenging scenarios and speed. Inspired by …
which is struggling to address the problem of challenging scenarios and speed. Inspired by …
Ultra fast deep lane detection with hybrid anchor driven ordinal classification
Modern methods mainly regard lane detection as a problem of pixel-wise segmentation,
which is struggling to address the problems of efficiency and challenging scenarios like …
which is struggling to address the problems of efficiency and challenging scenarios like …
Key points estimation and point instance segmentation approach for lane detection
Perception techniques for autonomous driving should be adaptive to various environments.
In essential perception modules for traffic line detection, many conditions should be …
In essential perception modules for traffic line detection, many conditions should be …
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 …
[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …
systems, as they offer potential for additional safety, increased productivity, greater …
Anchor3dlane: Learning to regress 3d anchors for monocular 3d lane detection
Monocular 3D lane detection is a challenging task due to its lack of depth information. A
popular solution is to first transform the front-viewed (FV) images or features into the bird-eye …
popular solution is to first transform the front-viewed (FV) images or features into the bird-eye …
Line-cnn: End-to-end traffic line detection with line proposal unit
The task of traffic line detection is a fundamental yet challenging problem. Previous
approaches usually conduct traffic line detection via a two-stage way, namely the line …
approaches usually conduct traffic line detection via a two-stage way, namely the line …
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 …