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ADAS and Automated Driving : Systems Engineering
ADAS and Automated Driving : Systems Engineering
Autore Pathrose Plato
Edizione [1st ed.]
Pubbl/distr/stampa Warrendale : , : SAE International, , 2024
Descrizione fisica 1 online resource (381 pages)
Soggetto topico Automobiles - Automatic control
Systems engineering
ISBN 9781468607451
1468607456
9781468607468
1468607464
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 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.
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.
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 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.
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.
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 -- 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.
12.4 Digital Twins in Systems Engineering.
Record Nr. UNINA-9911007158403321
Pathrose Plato  
Warrendale : , : SAE International, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
ADAS and automated driving : a practical approach to verification and validation / / by Plato Pathrose
ADAS and automated driving : a practical approach to verification and validation / / by Plato Pathrose
Autore Pathrose Plato
Edizione [1st ed.]
Pubbl/distr/stampa Warrendale, Pennsylvania : , : SAE International, , [2022]
Descrizione fisica 1 online resource (1 PDF (xxi, 255 pages)) : illustrations ; ; cm
Disciplina 629.2
Soggetto topico Automated vehicles
Driver assistance systems
TRANSPORTATION / Automotive / General
TECHNOLOGY & ENGINEERING / Automation
TECHNOLOGY & ENGINEERING / Automotive
Road and motor vehicles: general interest
Automatic control engineering
Automotive technology and trades
ISBN 9781523149544
152314954X
9781468604146
1468604147
9781468604139
1468604139
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword -- Introduction -- About this book -- Assumptions -- Acknowledgments -- Chapter 1: Introduction to advanced driver assistance systems and automated driving -- Chapter 2: Design approaches for automated driving systems -- Chapter 3: Different test approaches -- Chapter 4: Scenario-based testing -- Chapter 5: Simulation environment for ADAS and automated driving systems -- Chapter 6: Ground truth generation and testing neural network-based detection -- Chapter 7: Testing and qualification of perception software -- Chapter 8: Calibration of ADAS and automated driving features -- Chapter 9: Introduction to functional safety and cybersecurity testing -- Chapter 10: Verification and validation strategy Chapter 11: Acceptance criteria and maturity evaluation -- Chapter 12: Data flow and management in automated driving -- Chapter 13: Challenges and gaps in testing automated driving features -- Index -- About the author.
Altri titoli varianti ADAS and Automated Driving
Record Nr. UNINA-9911007247603321
Pathrose Plato  
Warrendale, Pennsylvania : , : SAE International, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui