[HTML][HTML] Road extraction in remote sensing data: A survey

Z Chen, L Deng, Y Luo, D Li, JM Junior… - International journal of …, 2022 - Elsevier
Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …

Object recognition, segmentation, and classification of mobile laser scanning point clouds: A state of the art review

E Che, J Jung, MJ Olsen - Sensors, 2019 - mdpi.com
Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light
Detection and Ranging (lidar) technology that has been utilized for a wide range of …

Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers

M Weinmann, B Jutzi, S Hinz, C Mallet - ISPRS Journal of Photogrammetry …, 2015 - Elsevier
Abstract 3D scene analysis in terms of automatically assigning 3D points a respective
semantic label has become a topic of great importance in photogrammetry, remote sensing …

A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration

AG Kashani, MJ Olsen, CE Parrish, N Wilson - Sensors, 2015 - mdpi.com
In addition to precise 3D coordinates, most light detection and ranging (LIDAR) systems also
record “intensity”, loosely defined as the strength of the backscattered echo for each …

Mobile laser scanned point-clouds for road object detection and extraction: A review

L Ma, Y Li, J Li, C Wang, R Wang, MA Chapman - Remote Sensing, 2018 - mdpi.com
The mobile laser scanning (MLS) technique has attracted considerable attention for
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …

Intelligent and connected vehicles: Current status and future perspectives

DG Yang, K Jiang, D Zhao, CL Yu, Z Cao… - Science China …, 2018 - Springer
Intelligent connected vehicles (ICVs) are believed to change people's life in the near future
by making the transportation safer, cleaner and more comfortable. Although many …

Use of mobile LiDAR in road information inventory: A review

H Guan, J Li, S Cao, Y Yu - International Journal of Image and Data …, 2016 - Taylor & Francis
Mobile LiDAR technology is currently one of the attractive topics in the fields of remote
sensing and laser scanning. Mobile LiDAR enables a rapid collection of enormous volumes …

Road-segmentation-based curb detection method for self-driving via a 3D-LiDAR sensor

Y Zhang, J Wang, X Wang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
The effective detection of curbs is fundamental and crucial for the navigation of a self-driving
car. This paper presents a real-time curb detection method that automatically segments the …

A deep learning framework for road marking extraction, classification and completion from mobile laser scanning point clouds

C Wen, X Sun, J Li, C Wang, Y Guo, A Habib - ISPRS journal of …, 2019 - Elsevier
Road markings play a critical role in road traffic safety and are one of the most important
elements for guiding autonomous vehicles (AVs). High-Definition (HD) maps with accurate …

Hierarchical extraction of urban objects from mobile laser scanning data

B Yang, Z Dong, G Zhao, W Dai - ISPRS Journal of Photogrammetry and …, 2015 - Elsevier
Point clouds collected in urban scenes contain a huge number of points (eg, billions),
numerous objects with significant size variability, complex and incomplete structures, and …