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自主無人系統的智能環境感知技術(英文版)(精)

  • 作者:畢欣|責編:姚同梅
  • 出版社:華中科技大學
  • ISBN:9787577212982
  • 出版日期:2024/10/01
  • 裝幀:精裝
  • 頁數:252
人民幣:RMB 168 元      售價:
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內容大鋼
    本書圍繞著自主無人系統的環境感知原理及應用展開了系統的闡述,主要內容包括自主無人系統的發展、智能感測器技術、感測器數據融合技術、定位導航技術、自主路徑規劃。本書對自主無人系統近期新及很經典的技術進行總結,對關鍵技術的原理、核心演算法及其在自主無人系統中的應用實例進行了詳細介紹,並對其優缺點展開了探討。本書各部分內容既相互獨立又具有內在聯繫性,語言精練而不失邏輯性,適合在校學生、企業研究人員等多層次讀者學習參考,相信能夠得到廣大讀者的喜愛。

作者介紹
畢欣|責編:姚同梅

目錄
1 Overview of Autonomous Unmanned Systems
  1.1  Introduction
  1.2  Development of Unmanned Systems
  1.3  Key Technologies of Unmanned Systems
    1.3.1  Sensor Technology
    1.3.2  Sensor Fusion Technology
    1.3.3  Positioning Navigation Technology
    1.3.4  Path Planning Technology
  Bibliography
2 Millimeter Wave Radar Technology
  2.1  Introduction
  2.2  Millimeter Wave Radar Concept and Characteristics
  2.3  Radar Equation
  2.4  Millimeter Wave Radar Analysis
    2.4.1  Pulse System
    2.4.2  Pulse Compression
    2.4.3  Continuous Wave System
    2.4.4  MIMO System Millimeter Wave Radar
  2.5  Related Technologies of the Millimeter Wave Radar
    2.5.1  Millimeter Wave Radar Signal Processing Technology
    2.5.2  Millimeter Wave Radar Data Processing Technology
    2.5.3  Millimeter Wave Radar Imaging Technology
  2.6  Application of Millimeter Wave Radar
    2.6.1  Application on Unmanned Aerial Vehicle (UAV)
    2.6.2  Unmanned Vehicle Application
    2.6.3  Application on Unmanned Boats
  Bibliography
3 LiDAR Technology
  3.1  Introduction
  3.2  Concept and Characteristics of LiDAR
    3.2.1  Laser
    3.2.2  LiDAR Function and Principle
    3.2.3  LiDAR Characteristics
  3.3  LiDAR Analysis
    3.3.1  Mechanical LiDAR
    3.3.2  Solid   State Hybrid LiDAR
    3.3.3  Solid   State LiDAR
  3.4  LiDAR Technology
    3.4.1  LiDAR Signal Processing Technology
    3.4.2  LiDAR Data Processing Technology
  3.5  LiDAR Application
    3.5.1  UAV Application
    3.5.2  Application in Unmanned Vehicle
    3.5.3  Application on Unmanned Surface Vehicle
  Bibliography
4 Machine Vision
  4.1  Introduction
  4.2  Machine Vision Concepts and Characteristics
    4.2.1  Basic Concepts of Machine Vision
    4.2.2  Characteristics of Machine Vision

  4.3  Camera Classification and Principle
    4.3.1  Camera Components
    4.3.2  Classification of Cameras
  4.4  Machine Vision Technology
    4.4.1  Traditional Machine Vision Technology
    4.4.2  Machine Vision Based on Deep Learning
  4.5  Machine Vision Application
    4.5.1  Drone Application
    4.5.2  Unmanned Vehicles Application
    4.5.3  Unmanned Boats Application
  Bibliography
5 Infrared Sensors and Ultrasonic Sensors
  5.1  Introduction
  5.2  Infrared
  5.3  Classification of Infrared Sensor
    5.3.1  Active Infrared Sensor
    5.3.2  Passive Infrared Sensor
  5.4  Related Technology of Infrared Sensor
    5.4.1  Infrared Night Vision Technology
    5.4.2  Infrared Binocular Stereo Vision
    5.4.3  Pedestrian Detection
    5.4.4  Target Tracking
  5.5  Concept and Characteristics of Ultrasonic Sensors
    5.5.1  Ultrasound
    5.5.2  Ultrasonic Sensor Principle and Characteristics
  5.6  Structure and Type of Ultrasonic Sensors
    5.6.1  Basic Structure of Ultrasonic Sensor
    5.6.2  Type of Ultrasonic Sensor
  5.7  Ultrasonic Sensor Technology
    5.7.1  Anti   jamming Technology of Ultrasonic Sensor
    5.7.2  Sector Scanning Detection of the Ultrasonic Sensor
  5.8  Application of Ultrasonic Sensor in Unmanned System
    5.8.1  Application of Ultrasonic Sensor in Unmanned Vehicle
    5.8.2  Application of Ultrasonic Sensor in UAV
    5.8.3  Application of Ultrasonic Sensor in Unmanned Boat
  Bibliography
6 Multimodal Sensor Collaborative Information Sensing Technology
  6.1  Introduction
  6.2  Levels and Classification of Information Fusion
    6.2.1  Level of Information Fusion
    6.2.2  Types of Information Fusion
    6.2.3  Classification of Information Fusion
  6.3  Multi   sensor Information Fusion
    6.3.1  Kalman Filter
    6.3.2  Bayesian Estimation
    6.3.3  D   S Evidence Theory
    6.3.4  Fuzzy Logic Inference
    6.3.5  Artificial Neural Network
  6.4  Application of Multi   sensor Information Fusion
    6.4.1  Application in UAV

    6.4.2  Application in Unmanned Vehicle
    6.4.3  Application in Unmanned Surface Vehicle
  Bibliography
7 Positioning and Navigation Technology
  7.1  Introduction
  7.2  Overview
  7.3  Satellite Navigation System
    7.3.1  Composition of GPS
    7.3.2  Principle of GPS Positioning
    7.3.3  Differential GPS Technology
  7.4  Inertial Navigation System
    7.4.1  Composition of the Inertial Navigation System
    7.4.2  Classification of the Inertial Navigation System
    7.4.3  Characteristics of Inertial Navigation System
    7.4.4  Track Estimation Technology
  7.5  Integrated Navigation Positioning
    7.5.1  Loose Combination
    7.5.2  Tight Combination
    7.5.3  Ultra Tight Combination
  7.6  Simultaneous Localization and Mapping
    7.6.1  SLAM Implementation
    7.6.2  Examples of SLAM Application
  7.7  Navigation Application
    7.7.1  Application in Unmanned Vehicle Positioning and Navigation
    7.7.2  Application in Unmanned Surface Vehicle Positioning and Navigation
    7.7.3  Application in UAV Positioning and Navigation
  Bibliography
8 Autonomous Path Planning
  8.1  Introduction
  8.2  Overview of Path Planning
  8.3  Path Planning Algorithm
    8.3.1  A* Search Algorithm
    8.3.2  Artificial Potential Field Method
    8.3.3  Lattices Planning Algorithm
    8.3.4  RRT Algorithm
    8.3.5  Genetic Algorithm
    8.3.6  Ant Colony Algorithm
  8.4  Application of Path Planning in Unmanned Systems
    8.4.1  Application in UAV
    8.4.2  Application on Unmanned Vehicles
    8.4.3  Application in Unmanned Surface Vehicle
  Bibliography

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