[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
Recent progress in road and lane detection: a survey
A Bar Hillel, R Lerner, D Levi, G Raz - Machine vision and applications, 2014 - Springer
The problem of road or lane perception is a crucial enabler for advanced driver assistance
systems. As such, it has been an active field of research for the past two decades with …
systems. As such, it has been an active field of research for the past two decades with …
Once-3dlanes: Building monocular 3d lane detection
We present ONCE-3DLanes, a real-world autonomous driving dataset with lane layout
annotation in 3D space. Conventional 2D lane detection from a monocular image yields …
annotation in 3D space. Conventional 2D lane detection from a monocular image yields …
Feature detection for vehicle localization in urban environments using a multilayer LIDAR
Localization is an important component of autonomous vehicles, as it enables the
accomplishment of tasks, such as path planning and navigation. Although vehicle position …
accomplishment of tasks, such as path planning and navigation. Although vehicle position …
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 …
Review of real-time three-dimensional shape measurement techniques
Z Wang - Measurement, 2020 - Elsevier
This paper reviews the state-of-the-art real-time three-dimensional shape measurement
techniques that are capable of reconstructing the dynamic objects. In this review paper, we …
techniques that are capable of reconstructing the dynamic objects. In this review paper, we …
Dagmapper: Learning to map by discovering lane topology
One of the fundamental challenges to scale self-driving is being able to create accurate high
definition maps (HD maps) with low cost. Current attempts to automate this pro-cess typically …
definition maps (HD maps) with low cost. Current attempts to automate this pro-cess typically …
A novel lane detection system with efficient ground truth generation
A new night-time lane detection system and its accompanying framework are presented in
this paper. The accompanying framework consists of an automated ground truth process …
this paper. The accompanying framework consists of an automated ground truth process …
Unsupervised labeled lane markers using maps
K Behrendt, R Soussan - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
Large and diverse annotated datasets can significantly increase the accuracy of machine
learning models. However, human annotations can be cost and time intensive, and …
learning models. However, human annotations can be cost and time intensive, and …
INS/GPS/LiDAR integrated navigation system for urban and indoor environments using hybrid scan matching algorithm
Y Gao, S Liu, MM Atia, A Noureldin - Sensors, 2015 - mdpi.com
This paper takes advantage of the complementary characteristics of Global Positioning
System (GPS) and Light Detection and Ranging (LiDAR) to provide periodic corrections to …
System (GPS) and Light Detection and Ranging (LiDAR) to provide periodic corrections to …