Skip to main navigation
Skip to search
Skip to main content
Daegu Gyeongbuk Institute of Science and Technology (DGIST) Home
Home
Profiles
Research units
Research output
Datasets
Press/Media
Search by expertise, name or affiliation
Online Fault Detection for Four Wheeled Skid Steered UGV Using Neural Network
Youngwoo An
,
Yongsoon Eun
Department of Electrical Engineering and Computer Science
Daegu Gyeongbuk Institute of Science and Technology
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
Overview
Fingerprint
Press/Media
(1)
Fingerprint
Dive into the research topics of 'Online Fault Detection for Four Wheeled Skid Steered UGV Using Neural Network'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Detection
100%
Ground Vehicle
100%
Networks
100%
Accuracy
40%
Actuators
40%
Experiments
20%
Vehicle Dynamics
20%
Control Systems
20%
Computer Simulation
20%
Experimental Work
20%
Physics
Detection
100%
Vehicle
100%
Tracking
40%
Actuators
40%
Networks
40%
Simulation
20%
Optimization
20%
Wheels
20%
Isolation
20%
Computer Science
Fault Detection
100%
Accuracy
40%
Actuators
40%
Networks
20%
Control
20%
Optimization
20%
Simulation
20%
Tracking System
20%
Network Control
20%
Computing Resource
20%
Resulting Network
20%
Neural Network Approach
20%
Fault Detection Scheme
20%