Learning 3d semantic segmentation with only 2d image supervision
With the recent growth of urban map** and autonomous driving efforts, there has been an
explosion of raw 3D data collected from terrestrial platforms with lidar scanners and color …
explosion of raw 3D data collected from terrestrial platforms with lidar scanners and color …
Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds
Accurate 3D road information is important for applications such as road maintenance and
virtual 3D modeling. Mobile laser scanning (MLS) is an efficient technique for capturing …
virtual 3D modeling. Mobile laser scanning (MLS) is an efficient technique for capturing …
Extracting roads from dense point clouds in large scale urban environment
This paper describes a method for extracting roads from a large scale unstructured 3D point
cloud of an urban environment consisting of many superimposed scans taken at different …
cloud of an urban environment consisting of many superimposed scans taken at different …
Detection and vectorization of roads from lidar data
A method for the automatic detection and vectorization of roads from lidar data is presented.
To extract roads from a lidar point cloud, a hierarchical classification technique is used to …
To extract roads from a lidar point cloud, a hierarchical classification technique is used to …
Road centerline extraction in complex urban scenes from LiDAR data based on multiple features
Automatic extraction of roads from images of complex urban areas is a very difficult task due
to the occlusions and shadows of contextual objects, and complicated road structures. As …
to the occlusions and shadows of contextual objects, and complicated road structures. As …
Automated extraction of lane markings from mobile LiDAR point clouds based on fuzzy inference
Mobile LiDAR systems (MLS) are rapid and accurate technologies for acquiring three-
dimensional (3D) point clouds that can be used to generate 3D models of road …
dimensional (3D) point clouds that can be used to generate 3D models of road …
Map** curbstones in airborne and mobile laser scanning data
L Zhou, G Vosselman - International Journal of Applied Earth Observation …, 2012 - Elsevier
The high point densities obtained by today's laser scanning systems enable the extraction of
various features which are traditionally mapped by photogrammetry or land surveying. While …
various features which are traditionally mapped by photogrammetry or land surveying. While …
Extracting urban road footprints from airborne LiDAR point clouds with PointNet++ and two-step post-processing
H Ma, H Ma, L Zhang, K Liu, W Luo - Remote Sensing, 2022 - mdpi.com
In this paper, a novel framework for the automatic extraction of road footprints from airborne
LiDAR point clouds in urban areas is proposed. The extraction process consisted of three …
LiDAR point clouds in urban areas is proposed. The extraction process consisted of three …
Road safety evaluation through automatic extraction of road horizontal alignments from Mobile LiDAR System and inductive reasoning based on a decision tree
Safe roads are a necessity for any society because of the high social costs of traffic
accidents. This challenge is addressed by a novel methodology that allows us to evaluate …
accidents. This challenge is addressed by a novel methodology that allows us to evaluate …
Evaluation of remote sensing technologies for collecting roadside feature data to support highway safety manual implementation
Roadside feature data are critical inputs to highway safety models as described in the
Highway Safety Manual (HSM). Collecting safety-related roadside feature data is an …
Highway Safety Manual (HSM). Collecting safety-related roadside feature data is an …