Roadside Multiple Objects Extraction from Mobile Laser Scanning Point Cloud Based on DBN

Roadside Multiple Objects Extraction from Mobile Laser Scanning Point Cloud Based on DBN

This paper proposed an novel algorithm for exploring deep belief network (DBN) architectures to extract and recognize roadside facilities (trees,cars and traffic poles) from mobile laser scanning (MLS) point cloud.The proposed methods firstly partitioned the raw MLS point cloud into blocks and then...

Full description

Bibliographic Details
Main Authors:	LUO Haifeng, FANG Lina, CHEN Chongcheng, Huang Zhiwen
Format:	Article
Language:	zho
Published:	Surveying and Mapping Press 2018-02-01
Series:	Acta Geodaetica et Cartographica Sinica
Subjects:	MLS point cloud deep belief network (DBN) deep learning point cloud segmentation road side objects extraction
Online Access:	http://html.rhhz.net/CHXB/html/2018-2-234.htm

Similar Items

Solid lanes extraction from mobile laser scanning point clouds
by: FANG Lina, et al.
Published: (2019-08-01)

Detecting 6D Poses of Target Objects From Cluttered Scenes by Learning to Align the Point Cloud Patches With the CAD Models
by: Xuzhan Chen, et al.
Published: (2020-01-01)

Automatic classification and vectorization of road markings from mobile laser point clouds
by: FANG Lina, et al.
Published: (2021-09-01)

TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas
by: Jingwei Zhu, et al.
Published: (2020-06-01)

Automatic Recognition of Pole-Like Objects from Mobile Laser Scanning Point Clouds
by: Zhenwei Shi, et al.
Published: (2018-11-01)

Linear-Based Incremental Co-Registration of MLS and Photogrammetric Point Clouds
by: Shiming Li, et al.
Published: (2021-06-01)

Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review
by: Lingfei Ma, et al.
Published: (2018-09-01)

A Deep Learning-Based Method for Overhead Contact System Component Recognition Using Mobile 2D LiDAR
by: Lipei Chen, et al.
Published: (2020-04-01)

Feasibility of Mobile Laser Scanning towards Operational Accurate Road Rut Depth Measurements
by: Aimad El Issaoui, et al.
Published: (2021-02-01)

Review: Deep Learning on 3D Point Clouds
by: Saifullahi Aminu Bello, et al.
Published: (2020-05-01)

A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color
by: Yajun Xu, et al.
Published: (2020-01-01)

Kernel Point Convolution LSTM Networks for Radar Point Cloud Segmentation
by: Felix Nobis, et al.
Published: (2021-03-01)

Classification and Segmentation of Mining Area Objects in Large-Scale Spares Lidar Point Cloud Using a Novel Rotated Density Network
by: Yueguan Yan, et al.
Published: (2020-03-01)

An improved volumetric grid deep network model for point cloud segmentation
by: Xinliang Zhang, et al.
Published: (2021-04-01)

Survey of Point Cloud Semantic Segmentation Based on Deep Learning
by: JING Zhuangwei, GUAN Haiyan, ZANG Yufu, NI Huan, LI Dilong, YU Yongtao
Published: (2021-01-01)

Deep Learning on Point Clouds and Its Application: A Survey
by: Weiping Liu, et al.
Published: (2019-09-01)

Revisit Point Cloud Recognition From the Viewpoint of Data Mixture
by: Zhenzhong Kuang, et al.
Published: (2020-01-01)

Point Cloud Hand–Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover
by: Yan Zhang, et al.
Published: (2021-08-01)

TR-Net: A Transformer-Based Neural Network for Point Cloud Processing
by: Chen, E., et al.
Published: (2022)

Faster Dynamic Graph CNN: Faster Deep Learning on 3D Point Cloud Data
by: Jinseok Hong, et al.
Published: (2020-01-01)

Object Semantic Segmentation in Point Clouds—Comparison of a Deep Learning and a Knowledge-Based Method
by: Jean-Jacques Ponciano, et al.
Published: (2021-04-01)

Progress and perspective of point cloud intelligence
by: YANG Bisheng, et al.
Published: (2019-12-01)

AMSASeg: An Attention-Based Multi-Scale Atrous Convolutional Neural Network for Real-Time Object Segmentation From 3D Point Cloud
by: Moogab Kim, et al.
Published: (2021-01-01)

Automatic segmentation and reconstruction of traffic accident scenarios from mobile laser scanning data
by: Vock, Dominik
Published: (2014)

Expressway Surface Point Extraction from Mobile Laser Scanning Point Clouds
by: Rufei Liu, et al.
Published: (2013-07-01)

Automatic Detection and Classification of Pole-Like Objects for Urban Cartography Using Mobile Laser Scanning Data
by: Celestino Ordóñez, et al.
Published: (2017-06-01)

Effective Point Cloud Analysis Using Multi-Scale Features
by: Qiang Zheng, et al.
Published: (2021-08-01)

4-D SLAM: An Efficient Dynamic Bayes Network-Based Approach for Dynamic Scene Understanding
by: Zhongli Wang, et al.
Published: (2020-01-01)

Automatic Detection and Classification of Pole-Like Objects in Urban Point Cloud Data Using an Anomaly Detection Algorithm
by: Borja Rodríguez-Cuenca, et al.
Published: (2015-09-01)

A Closer Look at Neighborhoods in Graph Based Point Cloud Scene Semantic Segmentation Networks
by: Itani, Hani
Published: (2020)

Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning
by: Sean Krisanski, et al.
Published: (2021-04-01)

Pointwise and Instance Segmentation for 3D Point Cloud
by: Gujar, Sanket
Published: (2019)

Robust Coarse-to-Fine Registration Scheme for Mobile Laser Scanner Point Clouds Using Multiscale Eigenvalue Statistic-Based Descriptor
by: Yongjian Fu, et al.
Published: (2021-04-01)

DPRNet: Deep 3D Point Based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds
by: Saira Arshad, et al.
Published: (2019-01-01)

Supervoxel Based Object Detection and Seafloor Segmentation Using Novel 3d Side-Scan Sonar
by: Patel, Kushal Girishkumar
Published: (2021)

Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
by: Roberto Pierdicca, et al.
Published: (2020-03-01)

Spatial Aggregation Net: Point Cloud Semantic Segmentation Based on Multi-Directional Convolution
by: Guorong Cai, et al.
Published: (2019-10-01)

3D Point Cloud Semantic Augmentation: Instance Segmentation of 360° Panoramas by Deep Learning Techniques
by: Ghizlane Karara, et al.
Published: (2021-09-01)

A Novel Point Cloud Encoding Method Based on Local Information for 3D Classification and Segmentation
by: Yanan Song, et al.
Published: (2020-04-01)

Classification of Airborne Laser Scanning Point Cloud Using Point-Based Convolutional Neural Network
by: Jianfeng Zhu, et al.
Published: (2021-06-01)