Engineering
Dataset
100%
Defect Classification
93%
Robot
66%
Point Cloud
58%
Models
45%
Images
42%
Convolutional Neural Network
36%
TV
35%
Closed Circuit
35%
Tasks
35%
Defects
33%
Sewer System
31%
Multiscale
29%
Deterioration Model
29%
Automation
29%
Random Forest
29%
State Condition
29%
Initial Investigation
29%
Codes
26%
Fields
24%
Backward Step
19%
Mobile Robot
19%
Metrics
19%
Infrastructure
13%
Ground Truth
11%
Interdependency
9%
Functionality
9%
High Cost
9%
Computervision
8%
Consuming Process
7%
Randomization
7%
Real Life
7%
Acquired Data
7%
Demonstrates
7%
Benchmark
7%
Sensor
7%
Automatic System
7%
Time-of-Flight
7%
Pipeline
7%
Existing Model
6%
Error
5%
Computer Science
Machine Learning
41%
Convolutional Neural Network
36%
Point Cloud
29%
Circuit Television
29%
Task Graph
29%
Graph Neural Network
29%
Scanners
29%
Deep Convolutional Neural Networks
29%
Survey
29%
Vision Transformer
29%
Algorithms
29%
Standards
19%
Inspection Process
19%
Utility Company
15%
Computer Vision
15%
Field Research
11%
Robot
9%
Regression Problem
9%
Contextual Information
9%
Visual Appearance
9%
Residual Neural Network
9%
Decision Trees
9%
Deep Learning
9%
Image Content
7%
Image Classification
7%
image feature
7%
Research Direction
5%
Evaluation Metric
5%
Earth and Planetary Sciences
Sewer
88%
Data Set
47%
Inspection
41%
Technology
29%
Scanner
29%
Closed Circuit Television
29%
Evaluation
29%
Research
11%
Computer Vision
8%
Public
8%
Infrastructure
5%
Set
5%
Error
5%
Ratio
5%
Feasibility
5%
Pipeline
5%
Increasing
5%
Recommendation
5%
Industry
5%