scholarly journals A Novel Method of Autonomous Inspection for Transmission Line based on Cable Inspection Robot LiDAR Data

Sensors ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 596 ◽  
Author(s):  
Xinyan Qin ◽  
Gongping Wu ◽  
Jin Lei ◽  
Fei Fan ◽  
Xuhui Ye ◽  
...  
Keyword(s):  
Transmission Line ◽  
Lidar Data ◽  
Inspection Robot ◽  
Novel Method ◽  
Autonomous Inspection

scholarly journals A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data

2017 ◽  
Vol 9 (7) ◽  
pp. 753 ◽  
Author(s):  
Xinyan Qin ◽  
Gongping Wu ◽  
Xuhui Ye ◽  
Le Huang ◽  
Jin Lei
Keyword(s):  
High Voltage ◽  
Power Lines ◽  
Lidar Data ◽  
Inspection Robot ◽  
Novel Method ◽  
High Voltage Power Lines

scholarly journals The VIKINGS Autonomous Inspection Robot: Competing in the ARGOS Challenge

2019 ◽  
Vol 26 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Pierre Merriaux ◽  
Romain Rossi ◽  
Remi Boutteau ◽  
Vincent Vauchey ◽  
Lei Qin ◽  
...  
Keyword(s):  
Inspection Robot ◽  
Autonomous Inspection

scholarly journals A Novel Method for Feature Extraction and Classification for an Aerial Image and LiDAR Data with Genetic Algorithm

2012 ◽  
pp. 264-270
Author(s):  
Manjunath B. E ◽  
D. G. Anand ◽  
Mahant. G. Kattimani
Keyword(s):  
Feature Extraction ◽  
Light Detection And Ranging ◽  
Aerial Image ◽  
Lidar Data ◽  
Light Detection ◽  
Aerial Photos ◽  
The Earth ◽  
Digital Elevation ◽  
Land Surveying ◽  
Novel Method

Airborne Light Detection and Ranging (LiDAR) provides accurate height information for objects on the earth, which makes LiDAR become more and more popular in terrain and land surveying. In particular, LiDAR data offer vital and significant features for land-cover classification which is an important task in many application domains. Aerial photos with LiDAR data were processed with genetic algorithms not only for feature extraction but also for orthographical image. DSM provided by LiDAR reduced the amount of GCPs needed for the regular processing, thus the reason both efficiency and accuracy are highly improved. LiDAR is an acronym for Light Detection and Ranging, which is typically defined as an integration of three technologies into a single system, which is capable of acquiring a data to produce accurate Digital Elevation Models.

scholarly journals CHANGE DETECTION AND DEFORMATION ANALYSIS BASED ON MOBILE LASER SCANNING DATA OF URBAN AREAS

2020 ◽  
Vol V-2-2020 ◽  
pp. 703-710
Author(s):  
J. Gehrung ◽  
M. Hebel ◽  
M. Arens ◽  
U. Stilla
Keyword(s):  
Change Detection ◽  
Urban Areas ◽  
Laser Scanning ◽  
State Of The Art ◽  
Point Clouds ◽  
Deformation Analysis ◽  
Lidar Data ◽  
Efficient Manner ◽  
Incomplete Observations ◽  
Novel Method

Abstract. Change detection is an important tool for processing multiple epochs of mobile LiDAR data in an efficient manner, since it allows to cope with an otherwise time-consuming operation by focusing on regions of interest. State-of-the-art approaches usually either do not handle the case of incomplete observations or are computationally expensive. We present a novel method based on a combination of point clouds and voxels that is able to handle said case, thereby being computationally less expensive than comparable approaches. Furthermore, our method is able to identify special classes of changes such as partially moved, fully moved and deformed objects in addition to the appeared and disappeared objects recognized by conventional approaches. The performance of our method is evaluated using the publicly available TUM City Campus datasets, showing an overall accuracy of 88 %.

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