000 10955nam a2200613 i 4500
001 9063369
003 IEEE
005 20220712210025.0
006 m o d
007 cr |n|||||||||
008 200429s2020 nju ob 001 eng d
010 _z 2019058289 (print)
019 _a1145019019
020 _a1119570549
020 _a9781119570554
_qadobe pdf
020 _z9781119570547
_qePub
020 _a1119570557
020 _z9781119570561
_qhardback
020 _z9781119570516
_qelectronic bk.
020 _z1119570514
_qelectronic bk.
020 _z1119570565
024 7 _a10.1002/9781119570516
_2doi
035 _a(CaBNVSL)mat09063369
035 _a(IDAMS)0b0000648c8c3549
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 0 0 _aTL152.8
082 0 0 _a629.04/6
_223
100 1 _aLiu, Shaoshan,
_eauthor.
_929635
245 1 0 _aEngineering autonomous vehicles and robots :
_bthe DragonFly modular-based approach /
_cShaoshan Liu.
250 _aFirst edition.
264 1 _aHoboken :
_bWiley-IEEE Press,
_c2020.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2020]
300 _a1 PDF.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _a1 Affordable and Reliable Autonomous Driving Through Modular Design 1 -- 1.1 Introduction 1 -- 1.2 High Cost of Autonomous Driving Technologies 2 -- 1.2.1 Sensing 2 -- 1.2.2 HD Map Creation and Maintenance 3 -- 1.2.3 Computing Systems 3 -- 1.3 Achieving Affordability and Reliability 4 -- 1.3.1 Sensor Fusion 4 -- 1.3.2 Modular Design 5 -- 1.3.3 Extending Existing Digital Maps 5 -- 1.4 Modular Design 6 -- 1.4.1 Communication System 7 -- 1.4.2 Chassis 7 -- 1.4.3 mmWave Radar and Sonar for Passive Perception 8 -- 1.4.4 GNSS for Localization 8 -- 1.4.5 Computer Vision for Active Perception and Localization 8 -- 1.4.6 Planning and Control 8 -- 1.4.7 Mapping 9 -- 1.5 The Rest of the Book 9 -- 1.6 Open Source Projects Used in this Book 10 -- References 11 -- 2 In-Vehicle Communication Systems 13 -- 2.1 Introduction 13 -- 2.2 CAN 13 -- 2.3 FlexRay 16 -- 2.3.1 FlexRay Topology 16 -- 2.3.2 The FlexRay Communication Protocol 17 -- 2.4 CANopen 18 -- 2.4.1 Object Dictionary 19 -- 2.4.2 Profile Family 19 -- 2.4.3 Data Transmission and Network Management 20 -- 2.4.4 Communication Models 21 -- 2.4.5 CANopenNode 21 -- References 22 -- 3 Chassis Technologies for Autonomous Robots and Vehicles 23 -- 3.1 Introduction 23 -- 3.2 Throttle-by-Wire 23 -- 3.3 Brake-by-Wire 25 -- 3.4 Steer-by-Wire 25 -- 3.5 Open Source Car Control 26 -- 3.5.1 OSCC APIs 26 -- 3.5.2 Hardware 27 -- 3.5.3 Firmware 28 -- 3.6 OpenCaret 29 -- 3.6.1 OSCC Throttle 29 -- 3.6.2 OSCC Brake 29 -- 3.6.3 OSCC Steering 29 -- 3.7 PerceptIn Chassis Software Adaptation Layer 30 -- References 34 -- 4 Passive Perception with Sonar and Millimeter Wave Radar 35 -- 4.1 Introduction 35 -- 4.2 The Fundamentals of mmWave Radar 35 -- 4.2.1 Range Measurement 36 -- 4.2.2 Velocity Measurement 37 -- 4.2.3 Angle Detection 38 -- 4.3 mmWave Radar Deployment 38 -- 4.4 Sonar Deployment 41 -- References 45 -- 5 Localization with Real-Time Kinematic Global Navigation Satellite System 47 -- 5.1 Introduction 47 -- 5.2 GNSS Technology Overview 47 -- 5.3 RTK GNSS 49.
505 8 _a5.4 RTK-GNSS NtripCaster Setup Steps 52 -- 5.4.1 Set up NtripCaster 52 -- 5.4.2 Start NtripCaster 54 -- 5.5 Setting Up NtripServer and NtripClient on Raspberry Pi 55 -- 5.5.1 Install the Raspberry Pi System 55 -- 5.5.2 Run RTKLIB-str2str on the Raspberry Pi 57 -- 5.5.2.1 Running NtripServer on the Base Station Side 57 -- 5.5.2.2 Running NtripClient on the GNSS Rover 58 -- 5.6 Setting Up a Base Station and a GNSS Rover 59 -- 5.6.1 Base Station Hardware Setup 59 -- 5.6.2 Base Station Software Setup 60 -- 5.6.3 GNSS Rover Setup 67 -- 5.6.3.1 Rover Hardware Setup 67 -- 5.6.3.2 Rover Software Setup 68 -- 5.7 FreeWave Radio Basic Configuration 71 -- References 75 -- 6 Computer Vision for Perception and Localization 77 -- 6.1 Introduction 77 -- 6.2 Building Computer Vision Hardware 77 -- 6.2.1 Seven Layers of Technologies 78 -- 6.2.2 Hardware Synchronization 80 -- 6.2.3 Computing 80 -- 6.3 Calibration 81 -- 6.3.1 Intrinsic Parameters 81 -- 6.3.2 Extrinsic Parameters 82 -- 6.3.3 Kalibr 82 -- 6.3.3.1 Calibration Target 83 -- 6.3.3.2 Multiple Camera Calibration 83 -- 6.3.3.3 Camera IMU Calibration 84 -- 6.3.3.4 Multi-IMU and IMU Intrinsic Calibration 84 -- 6.4 Localization with Computer Vision 85 -- 6.4.1 VSLAM Overview 85 -- 6.4.2 ORB-SLAM2 86 -- 6.4.2.1 Prerequisites 86 -- 6.4.2.2 Building the ORB-SLAM2 Library 87 -- 6.4.2.3 Running Stereo Datasets 87 -- 6.5 Perception with Computer Vision 87 -- 6.5.1 ELAS for Stereo Depth Perception 88 -- 6.5.2 Mask R-CNN for Object Instance Segmentation 89 -- 6.6 The DragonFly Computer Vision Module 90 -- 6.6.1 DragonFly Localization Interface 90 -- 6.6.2 DragonFly Perception Interface 92 -- 6.6.3 DragonFly+ 93 -- References 94 -- 7 Planning and Control 97 -- 7.1 Introduction 97 -- 7.2 Route Planning 97 -- 7.2.1 Weighted Directed Graph 98 -- 7.2.2 Dijkstra���Os Algorithm 99 -- 7.2.3 A* Algorithm 100 -- 7.3 Behavioral Planning 100 -- 7.3.1 Markov Decision Process 101 -- 7.3.2 Value Iteration Algorithm 102 -- 7.3.3 Partially Observable Markov Decision Process (POMDP) 103.
505 8 _a7.3.4 Solving POMDP 104 -- 7.4 Motion Planning 105 -- 7.4.1 Rapidly Exploring Random Tree 105 -- 7.4.2 RRT* 106 -- 7.5 Feedback Control 107 -- 7.5.1 Proportional���oIntegral���oDerivative Controller 108 -- 7.5.2 Model Predictive Control 108 -- 7.6 Iterative EM Plannning System in Apollo 110 -- 7.6.1 Terminologies 110 -- 7.6.1.1 Path and Trajectory 110 -- 7.6.1.2 SL Coordinate System and Reference Line 110 -- 7.6.1.3 ST Graph 111 -- 7.6.2 Iterative EM Planning Algorithm 112 -- 7.6.2.1 Traffic Decider 113 -- 7.6.2.2 QP Path and QP Speed 114 -- 7.7 PerceptIn���Os Planning and Control Framework 116 -- References 118 -- 8 Mapping 119 -- 8.1 Introduction 119 -- 8.2 Digital Maps 119 -- 8.2.1 Open Street Map 120 -- 8.2.1.1 OSM Data Structures 120 -- 8.2.1.2 OSM Software Stack 121 -- 8.2.2 Java OpenStreetMap Editor 121 -- 8.2.2.1 Adding a Node or a Way 123 -- 8.2.2.2 Adding Tags 123 -- 8.2.2.3 Uploading to OSM 124 -- 8.2.3 Nominatim 124 -- 8.2.3.1 Nominatim Architecture 124 -- 8.2.3.2 Place Ranking in Nominatim 125 -- 8.3 High-Definition Maps 125 -- 8.3.1 Characteristics of HD Maps 126 -- 8.3.1.1 High Precision 126 -- 8.3.1.2 Rich Geometric Information and Semantics 126 -- 8.3.1.3 Fresh Data 126 -- 8.3.2 Layers of HD Maps 126 -- 8.3.2.1 2D Orthographic Reflectivity Map 127 -- 8.3.2.2 Digital Elevation Model 127 -- 8.3.2.3 Lane/Road Model 127 -- 8.3.2.4 Stationary Map 127 -- 8.3.3 HD Map Creation 127 -- 8.3.3.1 Data Collection 127 -- 8.3.3.2 Offline Generation of HD Maps 128 -- 8.3.3.2.1 Sensor Fusion and Pose Estimation 128 -- 8.3.3.2.2 Map Data Fusion and Data Processing 129 -- 8.3.3.2.3 3D Object Location Detection 129 -- 8.3.3.2.4 Semantics/Attributes Extraction 129 -- 8.3.3.3 Quality Control and Validation 129 -- 8.3.3.4 Update and Maintenance 129 -- 8.3.3.5 Problems of HD Maps 130 -- 8.4 PerceptIn���Os �I�-Map 130 -- 8.4.1 Topological Map 130 -- 8.4.2 �I�-Map Creation 131 -- References 133 -- 9 Building the DragonFly Pod and Bus 135 -- 9.1 Introduction 135 -- 9.2 Chassis Hardware Specifications 135.
505 8 _a9.3 Sensor Configurations 136 -- 9.4 Software Architecture 138 -- 9.5 Mechanism 142 -- 9.6 Data Structures 144 -- 9.6.1 Common Data Structures 144 -- 9.6.2 Chassis Data 146 -- 9.6.3 Localization Data 149 -- 9.6.4 Perception Data 150 -- 9.6.5 Planning Data 153 -- 9.7 User Interface 158 -- References 160 -- 10 Enabling Commercial Autonomous Space Robotic Explorers 161 -- 10.1 Introduction 161 -- 10.2 Destination Mars 162 -- 10.3 Mars Explorer Autonomy 163 -- 10.3.1 Localization 163 -- 10.3.2 Perception 164 -- 10.3.3 Path Planning 165 -- 10.3.4 The Curiosity Rover and Mars 2020 Explorer 165 -- 10.4 Challenge: Onboard Computing Capability 168 -- 10.5 Conclusion 169 -- References 170 -- 11 Edge Computing for Autonomous Vehicles 171 -- 11.1 Introduction 171 -- 11.2 Benchmarks 172 -- 11.3 Computing System Architectures 173 -- 11.4 Runtime 175 -- 11.5 Middleware 177 -- 11.6 Case Studies 178 -- References 179 -- 12 Innovations on the Vehicle-to-Everything Infrastructure 183 -- 12.1 Introduction 183 -- 12.2 Evolution of V2X Technology 183 -- 12.3 Cooperative Autonomous Driving 186 -- 12.4 Challenges 188 -- References 189 -- 13 Vehicular Edge Security 191 -- 13.1 Introduction 191 -- 13.2 Sensor Security 191 -- 13.3 Operating System Security 192 -- 13.4 Control System Security 193 -- 13.5 V2X Security 193 -- 13.6 Security for Edge Computing 194 -- References 196 -- Index 199.
506 _aRestricted to subscribers or individual electronic text purchasers.
520 _a"The first book of its kind on the detailed steps for creating an autonomous vehicle or robot, this book provides an overview of the technology and introduction of the key elements involved in developing autonomous vehicles, and offers an excellent introduction to the basics for someone new to the topic of autonomous vehicles and the innovative, modular-based engineering approach called DragonFly. Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach covers everything that technical professionals need to know about: CAN bus; chassis; sonars; radars; GNSS; computer vision; localization; perception; motion planning etc. Particularly, it covers Computer Vision for active perceptionandlocalization, as well as mapping and motion planning. The book offers several case studies on the building of an autonomous passenger pod, bus, and vending robot etc. It features a large amount of supplementary material, including the standard protocol and sample codes for chassis, sonar, and radar. GPSD protocol/NMEA protocol and GPS deployment methods are also provided. Most importantly, readers will learn the philosophy behind the DragonFly modular-based design approach, which empowers readers to design and build their own autonomous vehicles and robots with flexibility and affordability"--
_cProvided by publisher.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
650 0 _aAutomated vehicles.
_94891
650 0 _aMobile robots.
_94695
655 4 _aElectronic books.
_93294
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_929636
710 2 _aWiley,
_epublisher.
_929637
776 0 8 _iPrint version:
_aLiu, Shaoshan.
_tEngineering autonomous vehicles and robots
_bFirst edition.
_dHoboken : Wiley-IEEE Press, 2020.
_z9781119570561
_w(DLC) 2019058288
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=9063369
942 _cEBK
999 _c74640
_d74640