책 이미지
책 정보
· 분류 : 외국도서 > 기술공학 > 기술공학 > 일반
· ISBN : 9781138322110
· 쪽수 : 398쪽
· 출판일 : 2020-05-20
목차
Chapter 1 Introduction 1.1 Autonomous Vehicles 1.2 Industrial Assets 1.3 Inspection of Industrial Assets 1.4 Maintenance of Industrial Assets References Chapter 2 Development of Autonomous Vehicles 2.1 History of development of Autonomous robots 2.2 Dynamics and Machine Architectures 2.3 Robots and Machine Intelligence 2.4 Programming of Autonomous Robots 2.5 Adaptive Algorithms and Utilization Chapter 3 Distant Inspection Operations for industrial Assets 3.1 Autonomous Vehicle Inspection Platform 3.2 Inspection Communications and Transport Security 3.3 Obstacle Avoidance 3.4 Inspection Modes and Content 3.5 Inspection Methods References Chapter 4 Sensors for Autonomous Vehicles in Infrastructure Inspection Applications 4.1 Sensors and sensing strategies 4.2 Sensor types: introduction 4.3 Sensors for military missions 4.4 Sensor-based localization and mapping 4.5 Sensor fusion, sensor platforms and Global Positioning System References Chapter 5 Data acquisition and intelligent diagnosis 3.1 Data acquisition principle and process for laser scanning, visual imaging, infrared imaging, UV image 5.2 Cloud data post-processing technology 5.3 Cloud data intelligent diagnosis References Chapter 6 Inspection expert diagnosis and three-dimensional visualization 6.1 Overview 6.2 Line security diagnosis for multi-source data fusion 6.3 Three-dimensonal visualization applications References Chapter 7 Communications 7.1 Communication Methods 7.2 Radio Communication 7.3 Mid-Air Collision (MAC) Avoidance 7.4 Communications Data Rate and Bandwidth Usage 7.5 Antenna Types 7.6 Tracking with Multiple Autonomous Vehicles References Chapter 8 Autonomous vehicles for infrastructure inspection applications 8.1 Power Line Inspection 8.2 Building Monitoring 8.3 Railway Infrastructure Inspection 8.4 Waterways and Other Infrastructures References Chapter 9 Critical Failure Detection Application In Autonomous Vehicles 9.1 Repeated Inspections and Failure Identification 9.2 Autonomous Vehicle Emergency Inspection Applications 9.3 Autonomous Vehicle Navigation Security References Chapter 10 Autonomous inspection and maintenance with artificial intelligent infiltration 10.1 Artificial Intelligent Techniques Used in AVs 10.2 Artificial Intelligent Approaches for Inspection and Maintenance 10.3 Current developments of AVs with AI References Chapter 11 Big Data and Analytics for AV Inspection and maintenance 11.1 Big Data Analytics and Cyber-Physical Systems 11.2 Big Data Analytics in Inspection and Maintenance 11.3 Integration of Big Data Analytics in AV Inspection and Maintenance 11.4 Utilization of AVs in Industry 4.0 Environment References















