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[null,"1.","Record Nr.",null,"UNINA9911007158403321"]
[null,null,"Autore",null,"Pathrose Plato"]
[null,null,"Titolo",null,"ADAS and Automated Driving : Systems Engineering"]
[null,null,"Pubbl/distr/stampa",null,"Warrendale : , : SAE International, , 2024"]
[{"$nulls":4},"©2024"]
[null,null,"ISBN",null,"9781468607451"]
[{"$nulls":4},"1468607456"]
[{"$nulls":4},"9781468607468"]
[{"$nulls":4},"1468607464"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (381 pages)"]
[null,null,"Soggetti",null,"Automobiles - Automatic control"]
[{"$nulls":4},"Systems engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Front Cover -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Introduction -- About This Book -- Assumptions -- Foreword I -- Foreword II -- Acknowledgments -- 1 Introduction to Systems Engineering -- 1.1 Systems Engineering: An Overview -- 1.2 Why Do We Need Systems Engineering? -- 1.3 Evolution of Systems -- 1.4 ADAS and Automated Driving Systems -- 1.5 Definition of a System and Its Hierarchy -- 1.6 System of Systems (SoS) -- 1.7 Systems Engineering Myths -- 1.8 Summary -- References -- 2 Systems Engineering Life Cycle and Processes -- Chapter 2: Systems Engineering Life Cycle and Processes -- 2.1 Systems Engineering Life Cycle -- 2.1.1 Concept Phase -- 2.1.2 Design and Development Phase -- 2.1.3 Production Phase -- 2.1.4 Operation Phase -- 2.1.5 Service and Maintenance Phase -- 2.1.6 Retirement Phase -- 2.1.7 Re-engineering Phase -- 2.2 System Life Cycle Models -- 2.2.1 V-Model -- 2.2.2 Spiral Model -- 2.2.3 Iterative and Agile Development Model -- 2.3 Systems Engineering Processes -- 2.4 Systems Engineering Methods -- 2.5 Systems Engineering Life Cycle of an Automated Driving System -- 2.6 Overview of Software-Defined Vehicles and Systems Engineering -- 2.7 Summary -- References -- 3 Agile Methodologies and Systems Engineering -- Chapter 3: Agile Methodologies and Systems Engineering -- 3.1 Introduction to Agile -- 3.2 Need for Agility in ADAS and Automated Driving -- 3.3 Agile "]
[{"$nulls":4},"Methodologies and Their Application -- 3.3.1 Scrum -- 3.3.2 Large-Scale Scrum (LeSS) -- 3.3.3 Scaled Agile Framework® (SAFe®) -- 3.3.4 Feature-Driven Development (FDD) -- 3.3.5 Test-Driven Development (TDD) -- 3.4 Myths about Agile -- 3.5 Systems Engineering and Agile -- 3.6 Challenges of Applying Agile in Systems Engineering -- 3.7 Summary -- References -- 4 Concept Phase -- Chapter 4: Concept Phase -- 4.1 Needs and Requirement Analysis."]
[{"$nulls":4},"4.1.1 Concept Generation for Highway Chauffer Function -- 4.1.2 McCall's Quality Model -- 4.1.3 Quality Function Deployment -- 4.1.4 Theory of Inventive Problem-Solving (TRIZ) -- 4.2 Concept Exploration and Feasibility Analysis -- 4.2.1 MOE and MOP -- 4.2.2 Golden Triangle of Concept Generation -- 4.2.3 How to Generate Concept Alternatives -- 4.2.4 Operational Concept (OpsCon) -- 4.3 Concept Definition and Finalization -- 4.3.1 Concept Selection -- 4.3.2 Mistakes in Concept Selection -- 4.3.3 Functional Analysis and Allocation -- 4.3.4 Concept Validation -- 4.4 Summary -- References -- 5 System Concept and Modeling -- Chapter 5: System Concept and Modeling -- 5.1 System Model -- 5.1.1 System Modeling and Its Advantages -- 5.1.2 Types of Models -- 5.2 System Simulation -- 5.2.1 System Model and Simulations -- 5.2.2 Operational Simulation -- 5.2.3 Physical Simulation -- 5.2.4 Environmental Simulation -- 5.2.5 Digital Twin and Virtual Reality-Based Simulation -- 5.2.6 Hybrid Simulation -- 5.2.7 Co-Simulation -- 5.2.8 General Requirements for Simulations -- 5.3 Modeling System Concepts: A Case Study -- 5.4 IDEF: Integrated DEFinition -- 5.5 Functional Flow Block Diagrams -- 5.6 Trade-Off Analysis, Evaluation, and Decision-Making -- 5.7 Summary -- References -- 6 Predevelopment Phase and Prototyping -- Chapter 6: Predevelopment Phase and Prototyping -- 6.1 Bridging Concept Phase and Development Phase -- 6.2 Predevelopment of an Automated Driving System: A Case Study -- 6.2.1 Preparation Phase -- 6.2.2 Development Phase -- 6.2.3 Integration Phase -- 6.2.4 Testing Phase -- 6.3 Measurements in Predevelopment and Prototyping Phase -- 6.4 Challenges and Drawbacks in Prototyping -- 6.5 Platform Development -- 6.6 Summary -- References -- 7 System Design and Development Phase -- Chapter 7: System Design and Development Phase."]
[{"$nulls":4},"Part 1: Requirement Analysis, Design, and Architecture -- 7.1 Overview of Design and Development Phase -- 7.2 Requirement Elicitation and Analysis -- 7.3 Functional Analysis and Design -- 7.4 System Definition and Component Design -- 7.5 System Architecture Definition -- 7.5.1 Physical Architecture -- 7.5.2 Software Architecture -- 7.5.3 Mechanical Architecture -- 7.5.4 Functional Architecture -- 7.5.5 Electrical and Electronic Architecture -- 7.5.6 Network and Communication Architecture -- 7.5.7 Safety Architecture -- 7.5.8 Security Architecture -- 7.6 Characteristics of a Good System Architecture -- Part 2: System Integration, Verification, and Validation -- 7.7 System Integration -- 7.7.1 System Integration Strategy -- 7.7.2 Different Phases of Integration in Automated Driving Systems -- 7.8 Integration, Calibration, and Tuning of Automated Driving Systems -- 7.9 System Verification and Validation -- 7.10 Homologation of ADAS and Automated Driving Systems -- 7.11 Summary -- References -- 8 System Production, Operation, and Maintenance Phases -- Chapter 8: System Production, Operation, and Maintenance Phases -- 8.1 Production Phase of an Automated Driving System -- 8.1.1 Production Process and FMEA -- 8.1.2 Production Systems and Assembly -- 8.1.2.1 Serial Production Line -- 8.1.2.2 Assembly Systems -- 8.1.3 Production Preparation -- 8.1.4 Calibration of Sensors at the End-of-Line in Production -- 8.1.4.1 Static EoL Calibration -- 8.1.4.2 Dynamic EoL Calibration -- 8.1.5 Acceptance Testing in the Production and "]
[{"$nulls":4},"Shipment -- 8.2 Importance of Acquiring Production Knowledge -- 8.3 System Operation Phase -- 8.3.1 System Installation Approaches -- 8.3.2 Challenges in the System Operation Phase -- 8.4 System Maintenance Phase -- 8.4.1 Service and Maintenance of Automated Driving Systems -- 8.4.2 Importance of Maintenance History."]
[{"$nulls":4},"8.5 System Upgrade and Re-engineering -- 8.6 Summary -- References -- 9 Systems Engineering for Artificial Intelligence Components -- Chapter 9: Systems Engineering for Artificial Intelligence Components -- 9.1 Introduction to AI in Automated Driving Systems -- 9.1.1 An Overview of Neural Networks -- 9.2 Data-Driven Software Development in Automated Driving -- 9.3 Criteria for Using AI Software Components in a System -- 9.4 Requirement Definition and Design of AI Software Components -- 9.4.1 Detection Quality Measurements and Requirements for an Object Detection Model -- 9.5 Overview of Failure Analysis in Artificial Neural Networks -- 9.5.1 Neural Networks Fault Modeling -- 9.5.2 Overview of Neural Network Faults -- 9.5.3 Failures of Object Detection Model at the System Level -- 9.6 Integration, Verification, and Validation of AI Software Components -- 9.6.1 Verification and Validation of Functions Utilizing AI Models -- 9.6.2 Functional Quality and Performance Evaluation of Object Detection Algorithms -- 9.7 AI Software Components in the Operation Phase of a System -- 9.7.1 Challenges in Using Self-learning AI Models in Automotive -- 9.8 Summary -- References -- 10 Systems Engineering Management -- Chapter 10: Systems Engineering Management -- 10.1 Introduction to Systems Engineering Management (SEM) -- 10.1.1 SEM Tasks and Challenges -- 10.2 Systems Engineering Management Plan (SEMP) -- 10.2.1 Work Breakdown Structure (WBS) -- 10.2.2 Structure and Components of a SEMP -- 10.3 Risk Management in Systems Engineering -- 10.3.1 Risk Assessment and Analysis -- 10.3.2 Risk Abatement -- 10.4 Systems Engineering and Decision-Making Process -- 10.4.1 Strategies for Decision-Making -- 10.4.2 Case Study of Selecting a Domain Controller by Value-Focused Thinking -- Step 1: Define the Objectives, Needs, and Values -- Step 2: Develop Alternatives for Decision."]
[{"$nulls":4},"Step 3: Alternative Evaluation -- Step 4: Value Function Analysis -- Step 5: Selection of the Alternative Based on Analysis Results -- 10.4.3 Decision Process in Systems Engineering -- Step 1: Problem Definition -- Step 2: Solution Design -- Step 3: Decision-Making -- Step 4: Solution Implementation -- 10.5 Cost Estimation and Techniques -- 10.5.1 Cost Estimation -- 10.5.2 Techniques for Cost Estimation -- 10.5.3 Cost Breakdown Structure (CBS) in Systems Engineering -- 10.6 Summary -- References -- 11 Methods and Tools for Problem-Solving -- Chapter 11: Methods and Tools for Problem-Solving -- 11.1 Introduction to Processes, Methods, and Tools -- 11.2 Methods and Techniques for Problem-Solving -- 11.2.1 Eight Disciplines of Problem-Solving (8D) -- D1: Create a Team -- D2: Describe the Problem -- D3: Implement Interim Containment Action -- D4: Identify Root Cause -- D5: Identify Permanent Corrective Action -- D6: Implement and Validate Permanent Corrective Action -- D7: Prevent Recurrence or Implement Preventive Action -- D8: Close and Celebrate with the Team -- 11.2.2 Root Cause Analysis (RCA) -- 11.2.3 Five (5) Whys? -- 11.2.4 Fault Tree Analysis (FTA) -- 11.2.5 Failure Mode and Effects Analysis (FMEA) -- 11.2.6 3C Methodology -- 11.2.7 Plan-Do-Check-Act (PDCA) and Observe-Orient-Decide-Act (OODA) -- 11.2.8 Lean Six Sigma Methodology-DMAIC -- 11.2.9 Critical Thinking -- 11.2.10 Theory of Inventive Problem-Solving (TRIZ) -- 11.3 Summary -- References -- 12 Systems Engineering for Next-Generation Systems -- Chapter 12: Systems Engineering for Next-Generation Systems -- "]
[{"$nulls":4},"12.1 Systems: Changes from Past to Present -- 12.2 Future Trends in ADAS and Automated Driving Systems -- 12.3 Systems Engineering in Software-Defined Vehicles (SDVs) -- 12.3.1 Automated Driving System as a Software-Defined System (SDS) -- 12.3.2 Role of Software in SDVs."]
[{"$nulls":4},"12.4 Digital Twins in Systems Engineering."]
[null,null,null,"Sommario/riassunto","This book provides a comprehensive overview of Advanced Driver Assistance Systems (ADAS) and automated driving, emphasizing the role of systems engineering in the automotive industry's technological evolution. It explores the lifecycle, processes, and methods essential for developing these systems, influenced by artificial intelligence and technological advancements. Authored by an industry expert, the text is designed for engineers and students seeking to gain insights into designing and implementing ADAS and automated systems. It includes real-world examples to bridge theory with practical applications, preparing readers for complex projects in automotive technology. The book also addresses the challenges and methodologies, such as Agile, used in systems engineering to manage the complexities of modern vehicle systems."]