[HTML][HTML] Road extraction in remote sensing data: A survey
Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …
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
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 …
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
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 …
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
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 …
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
The mobile laser scanning (MLS) technique has attracted considerable attention for
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …
Intelligent and connected vehicles: Current status and future perspectives
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 …
by making the transportation safer, cleaner and more comfortable. Although many …
Use of mobile LiDAR in road information inventory: A review
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 …
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
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 …
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
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 …
elements for guiding autonomous vehicles (AVs). High-Definition (HD) maps with accurate …
Hierarchical extraction of urban objects from mobile laser scanning data
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 …
numerous objects with significant size variability, complex and incomplete structures, and …