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 …
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 …
Multi-scale point-wise convolutional neural networks for 3D object segmentation from LiDAR point clouds in large-scale environments
Although significant improvement has been achieved in fully autonomous driving and
semantic high-definition map (HD) domains, most of the existing 3D point cloud …
semantic high-definition map (HD) domains, most of the existing 3D point cloud …
Toward better boundary preserved supervoxel segmentation for 3D point clouds
Supervoxels provide a more natural and compact representation of three dimensional point
clouds, and enable the operations to be performed on regions rather than on the scattered …
clouds, and enable the operations to be performed on regions rather than on the scattered …
A novel binary shape context for 3D local surface description
Abstract 3D local surface description is now at the core of many computer vision
technologies, such as 3D object recognition, intelligent driving, and 3D model …
technologies, such as 3D object recognition, intelligent driving, and 3D model …
Semantic line framework-based indoor building modeling using backpacked laser scanning point cloud
Indoor building models are essential in many indoor applications. These models are
composed of the primitives of the buildings, such as the ceilings, floors, walls, windows, and …
composed of the primitives of the buildings, such as the ceilings, floors, walls, windows, and …
Retracted: Jointly network image processing: Multi‐task image semantic segmentation of indoor scene based on CNN
L Huang, M He, C Tan, D Jiang, G Li… - IET Image …, 2020 - Wiley Online Library
Image semantic segmentation has always been a research hotspot in the field of robots. Its
purpose is to assign different semantic category labels to objects by segmenting different …
purpose is to assign different semantic category labels to objects by segmenting different …
3D point cloud to BIM: Semi-automated framework to define IFC alignment entities from MLS-acquired LiDAR data of highway roads
Building information modeling (BIM) is a process that has shown great potential in the
building industry, but it has not reached the same level of maturity for transportation …
building industry, but it has not reached the same level of maturity for transportation …
Computing multiple aggregation levels and contextual features for road facilities recognition using mobile laser scanning data
In recent years, updating the inventory of road infrastructures based on field work is labor
intensive, time consuming, and costly. Fortunately, vehicle-based mobile laser scanning …
intensive, time consuming, and costly. Fortunately, vehicle-based mobile laser scanning …
3-D road boundary extraction from mobile laser scanning data via supervoxels and graph cuts
Effective extraction of road boundaries plays a significant role in intelligent transportation
applications, including autonomous driving, vehicle navigation, and mapping. This paper …
applications, including autonomous driving, vehicle navigation, and mapping. This paper …